3373 Querying Jobs - Page 14

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Hyderabad, Telangana, India . Minimum qualifications: Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience. 9 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis. 3 years of experience as a people manager within a technical leadership role. Preferred qualifications: Experience in leading and evolving data science and engineering teams with technical strengths. Experience preparing and delivering presentations to executive leadership. Ability to operate in a cross-functional organization where collaboration with other teams is essential to the success of our team. Ability to adept at distilling analyses into data driven narratives. Excellent communication skills, especially in communicating technical and statistical concepts clearly and concisely among audiences at different levels. About the job As a Data Science Manager in the Measurement Center of Excellence, you will lead a team of technical experts, utilizing Google’s Machine Learning capabilities to build data science and measurement solutions to our Large Customer Sales (LCS) clients. You will closely collaborate with clients, agencies and internal teams. In this role, you will be responsible for leading a team of data scientists in applying best data science practices to solve our ads customers’ problems in marketing. You will be responsible for building and executing gTech’s strategy and outlook to deliver applied data science to Google's largest ads customers, utilizing the best of Google’s Machine Learning capabilities to build innovative solutions that address our customer's problem-space. Responsibilities Lead a team of Data Scientists responsible for delivering data science aspects of client engagements in the area of marketing effectiveness and marketing portfolio management. Develop a data science roadmap for your team that aligns with Data Science strategy and Objectives and Key Results (OKRs). Establish project goals, align individuals' expectations, coordinate resources, and provide technical leadership in-line with the long-term objectives. Provide analytical thought leadership in the areas of Data Science and Measurement through proactive and strategic contributions. Influence stakeholders through effective presentations and written communication. Collaborate with Product/Engineering teams to increase and optimize capabilities of the Applied Data Science team, employing methods which create opportunities for scale, and help to drive innovation. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Bengaluru, Karnataka Job ID JR2025464135 Category Information Technology Role Type Hybrid Post Date Jul. 18, 2025 Job Description At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Overview As a leading global aerospace company, Boeing develops, manufactures and services commercial airplanes, defense products and space systems for customers in more than 150 countries. As a top U.S. exporter, the company leverages the talents of a global supplier base to advance economic opportunity, sustainability and community impact. Boeing’s team is committed to innovating for the future, leading with sustainability, and cultivating a culture based on the company’s core values of safety, quality and integrity. Technology for today and tomorrow The Boeing India Engineering & Technology Center (BIETC) is a 5500+ diverse engineering workforce that contributes to global aerospace growth. Our engineers deliver cutting-edge R&D, innovation, and high-quality engineering work in global markets, and leverage new-age technologies such as AI/ML, IIoT, Cloud, Model-Based Engineering, and Additive Manufacturing, shaping the future of aerospace. People-driven culture At Boeing, we believe creativity and innovation thrives when every employee is trusted, empowered, and has the flexibility to choose, grow, learn, and explore. We offer variable arrangements depending upon business and customer needs, and professional pursuits that offer greater flexibility in the way our people work. We also believe that collaboration, frequent team engagements, and face-to-face meetings bring diverse perspectives and thoughts – enabling every voice to be heard and every perspective to be respected. No matter where or how our teammates work, we are committed to positively shaping people’s careers and being thoughtful about employee wellbeing. With us, you can create and contribute to what matters most in your career, community, country, and world. Join us in powering the progress of global aerospace. Boeing IDT&S, Architecture Chapter – Governance and Standards is looking for a talented Experienced DotNet Full Stack Developer with strong skills in .NET Core and Angular to join our dynamic development team. The ideal candidate will possess practical experience in developing scalable web applications using modern technologies and frameworks. This position is aligned to the Enterprise Systems Architecture Tool Suite (ESATS) and supports the overall enterprise application ecosystem. This role will be based out of Bangalore, India. Position Responsibilities: Develop and maintain web applications using .NET Core and C# . Design and implement RESTful Web APIs . Work with Entity Framework and LINQ for efficient data access and manipulation . Develop responsive front-end components using Angular 14+ . Collaborate with database administrators to design and optimize Oracle database queries . Participate in code reviews, testing, and deployment processes . Troubleshoot and resolve application issues in a timely manner . Work closely with cross-functional teams to deliver high-quality software solutions . Employer will not sponsor applicants for employment visa status. Basic Qualifications: Strong experience with .NET Core and C# development . Proficient in Entity Framework and LINQ for data querying and manipulation . Experience building and consuming Web APIs . Solid knowledge of Angular 14+ for front-end development . Hands-on experience with Oracle databases, including writing and optimizing SQL queries . Familiarity with version control systems such as Git . Good understanding of software development best practices and design patterns . Preferred Qualifications : Experience with Agile/Scrum methodologies . Knowledge of CI/CD pipelines and DevOps practices . Typical Education & Experience: Typically, 8-12 years’ related work experience or relevant military experience. Advanced degree (e.g. Bachelor, Master, etc.) preferred, but not required . Relocation: This position does offer relocation within INDIA. Applications for this position will be accepted until Jul. 27, 2025 Export Control Requirements: This is not an Export Control position. Relocation This position offers relocation based on candidate eligibility. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift Shift 1 - Morning (India) Equal Opportunity Employer: We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to; race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law. We have teams in more than 65 countries, and each person plays a role in helping us become one of the world’s most innovative, diverse and inclusive companies. We are proud members of the Valuable 500 and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited to: conducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews. Your Benefits No matter where you are in life, our benefits help prepare you for the present and the future. Competitive base pay and incentive programs. Industry-leading tuition assistance program pays your institution directly. Resources and opportunities to grow your career. Up to $10,000 match when you support your favorite nonprofit organizations.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Hyderabad, Telangana, India . Minimum qualifications: Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience. 9 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis. 3 years of experience as a people manager within a technical leadership role. Preferred qualifications: Experience in leading and evolving data science and engineering teams with technical strengths. Experience preparing and delivering presentations to executive leadership. Ability to operate in a cross-functional organization where collaboration with other teams is essential to the success of our team. Ability to adept at distilling analyses into data driven narratives. Excellent communication skills, especially in communicating technical and statistical concepts clearly and concisely among audiences at different levels. About the job As a Data Science Manager in the Measurement Center of Excellence, you will lead a team of technical experts, utilizing Google’s Machine Learning capabilities to build data science and measurement solutions to our Large Customer Sales (LCS) clients. You will closely collaborate with clients, agencies and internal teams. In this role, you will be responsible for leading a team of data scientists in applying best data science practices to solve our ads customers’ problems in marketing. You will be responsible for building and executing gTech’s strategy and outlook to deliver applied data science to Google's largest ads customers, utilizing the best of Google’s Machine Learning capabilities to build innovative solutions that address our customer's problem-space. Responsibilities Lead a team of Data Scientists responsible for delivering data science aspects of client engagements in the area of marketing effectiveness and marketing portfolio management. Develop a data science roadmap for your team that aligns with Data Science strategy and Objectives and Key Results (OKRs). Establish project goals, align individuals' expectations, coordinate resources, and provide technical leadership in-line with the long-term objectives. Provide analytical thought leadership in the areas of Data Science and Measurement through proactive and strategic contributions. Influence stakeholders through effective presentations and written communication. Collaborate with Product/Engineering teams to increase and optimize capabilities of the Applied Data Science team, employing methods which create opportunities for scale, and help to drive innovation. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

- Experience with Excel - Experience with SQL TOC (Transportation Operation Center) is the central command and control center for ‘Transportation Execution’ across the Amazon Supply Chain network supporting multiple geographies like NA, India and EU. It ensures hassle free, timely pick-up and delivery of freight from vendors to Amazon fulfillment centers (FC) and from Amazon FCs to carrier hubs. In case of any exceptions, TOC steps in to resolve the issue and keeps all the stakeholders informed on the proceedings. Along with this tactical problem solving TOC is also charged with understanding trends in network exceptions and then automating processes or proposing process changes to streamline operations. This second aspect involves network monitoring and significant analysis of network data. Overall, TOC plays a critical role in ensuring the smooth functioning of Amazon transportation and thereby has a direct impact on Amazon’s ability to serve its customers on time. Purview of a Trans Ops Specialist A Trans Ops Specialist at TOC facilitates flow of information between different stakeholders (Trans Carriers/Hubs/Warehouses) and resolves any potential issues that impacts customer experience and business continuity. Trans Ops Specialist at TOC works across two verticals – Inbound and Outbound operations. Inbound Operations deals with Vendor/Carrier/FC relationship, ensuring that the freight is picked-up on time and is delivered at FC as per the given appointment. Trans Ops Specialist on Inbound addresses any potential issues occurring during the lifecycle of pick-up to delivery. Outbound Operations deals with FC/Carrier/Carrier Hub relationship, ensuring that the truck leaves the FC in order to delivery customer orders as per promise. Trans Ops Specialist on Outbound addresses any potential issues occurring during the lifecycle of freight leaving the FC and reaching customer premises. A Trans Ops Specialist provides timely resolution to the issue in hand by researching and querying internal tools and by taking real-time decisions. An ideal candidate should be able to understand the requirements/be able to analyze data and notice trends and be able to drive Customer Experience without compromising on time. The candidate should have the basic understanding of Logistics and should be able to communicate clearly in the written and oral form. Trans Ops Specialist should be able to ideate process improvements and should have the zeal to drive them to conclusion. Responsibilities include, but are not limited to: · Communication with external customers (Carriers, Vendors/Suppliers) and internal customers (Retail, Finance, Software Support, Fulfillment Centers) · Ability to pull data from numerous databases (using Excel, Access, SQL and/or other data management systems) and to perform ad hoc reporting and analysis as needed is a plus. · Develop and/or understand performance metrics to assist with driving business results. · Ability to scope out business and functional requirements for the Amazon technology teams who create and enhance the software systems and tools are used by TOC. · Must be able to quickly understand the business impact of the trends and make decisions that make sense based on available data. · Must be able to systematically escalate problems or variance in the information and data to the relevant owners and teams and follow through on the resolutions to ensure they are delivered. · Work within various time constraints to meet critical business needs, while measuring and identifying activities performed. · Excellent communication, both verbal and written as one may be required to create a narrative outlining weekly findings and the variances to goals, and present these finding in a review forum. - Providing real-time customer experience by working in 24*7 operating environment. A day in the life About the hiring group Job responsibilities A day in the life About the hiring group Job responsibilities SQL Excel Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

- Experience with Excel - Experience with SQL TOC (Transportation Operation Center) is the central command and control center for ‘Transportation Execution’ across the Amazon Supply Chain network supporting multiple geographies like NA, India and EU. It ensures hassle free, timely pick-up and delivery of freight from vendors to Amazon fulfillment centers (FC) and from Amazon FCs to carrier hubs. In case of any exceptions, TOC steps in to resolve the issue and keeps all the stakeholders informed on the proceedings. Along with this tactical problem solving TOC is also charged with understanding trends in network exceptions and then automating processes or proposing process changes to streamline operations. This second aspect involves network monitoring and significant analysis of network data. Overall, TOC plays a critical role in ensuring the smooth functioning of Amazon transportation and thereby has a direct impact on Amazon’s ability to serve its customers on time. Purview of a Trans Ops Specialist A Trans Ops Specialist at TOC facilitates flow of information between different stakeholders (Trans Carriers/Hubs/Warehouses) and resolves any potential issues that impacts customer experience and business continuity. Trans Ops Specialist at TOC works across two verticals – Inbound and Outbound operations. Inbound Operations deals with Vendor/Carrier/FC relationship, ensuring that the freight is picked-up on time and is delivered at FC as per the given appointment. Trans Ops Specialist on Inbound addresses any potential issues occurring during the lifecycle of pick-up to delivery. Outbound Operations deals with FC/Carrier/Carrier Hub relationship, ensuring that the truck leaves the FC in order to delivery customer orders as per promise. Trans Ops Specialist on Outbound addresses any potential issues occurring during the lifecycle of freight leaving the FC and reaching customer premises. A Trans Ops Specialist provides timely resolution to the issue in hand by researching and querying internal tools and by taking real-time decisions. An ideal candidate should be able to understand the requirements/be able to analyze data and notice trends and be able to drive Customer Experience without compromising on time. The candidate should have the basic understanding of Logistics and should be able to communicate clearly in the written and oral form. Trans Ops Specialist should be able to ideate process improvements and should have the zeal to drive them to conclusion. Responsibilities include, but are not limited to: · Communication with external customers (Carriers, Vendors/Suppliers) and internal customers (Retail, Finance, Software Support, Fulfillment Centers) · Ability to pull data from numerous databases (using Excel, Access, SQL and/or other data management systems) and to perform ad hoc reporting and analysis as needed is a plus. · Develop and/or understand performance metrics to assist with driving business results. · Ability to scope out business and functional requirements for the Amazon technology teams who create and enhance the software systems and tools are used by TOC. · Must be able to quickly understand the business impact of the trends and make decisions that make sense based on available data. · Must be able to systematically escalate problems or variance in the information and data to the relevant owners and teams and follow through on the resolutions to ensure they are delivered. · Work within various time constraints to meet critical business needs, while measuring and identifying activities performed. · Excellent communication, both verbal and written as one may be required to create a narrative outlining weekly findings and the variances to goals, and present these finding in a review forum. - Providing real-time customer experience by working in 24*7 operating environment. A day in the life About the hiring group Job responsibilities A day in the life About the hiring group Job responsibilities SQL Excel Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Company Overview VITAL INTELLIGENCE TECHNOLOGY PRIVATE LIMITED specializes in setting up and offshoring tech teams in India, focusing on ERPs, AI, ML, and LLMs. Our mission is to empower businesses with top-tier engineering talent and advanced technology expertise. We offer bespoke solutions in software development and digital transformation. Based in Ahmedabad, we leverage India's robust tech ecosystem to drive global innovation and efficiency. Job Overview We are seeking a Mid-Level Software Developer specializing in ASP.NET MVC to join our team in Ahmedabad. This is a full-time position in which you will play a critical role in the development and maintenance of web applications. The ideal candidate should possess significant expertise in ASP.NET MVC and demonstrate strong technical skills in related areas. Qualifications and Skills Proficiency in ASP.NET MVC (Mandatory skill) with proven experience in designing and developing web applications. Strong knowledge and hands-on experience in C#, enabling you to implement efficient, reliable, and maintainable code. Experience with SQL Server for developing complex queries and understanding relational database concepts. Solid understanding and application of JavaScript to enhance user experience and maintain responsive web designs. Experience with HTML5 to craft reliable web applications ensuring cross-browser compatibility and responsiveness. Familiarity with Continuous Integration tools and practices, facilitating seamless code integration and deployment. Understanding of Cloud Computing principles to build scalable and secure web applications that align with modern practices. Experience with LINQ for efficient data querying, enhancing the performance of applications. Roles and Responsibilities Design, develop, and maintain scalable web applications using ASP.NET MVC framework. Collaborate with product owners and team members to analyze use cases and propose innovative technical solutions. Write clean, scalable, and testable code, adhering to best practices and coding standards. Perform detailed analysis of business needs and develop reliable software solutions to meet those needs. Implement and maintain SQL Server databases, optimizing data retrieval and storage processes. Participate in Agile/Scrum processes, contributing to iterative software development and delivery. Troubleshoot, debug, and upgrade existing software, ensuring optimal performance and reliability. Provide mentorship and knowledge sharing among team members to foster growth and technical proficiency.

At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions. Those in software engineering at PwC will focus on developing innovative software solutions to drive digital transformation and enhance business performance. In this field, you will use your knowledge to design, code, and test cutting-edge applications that revolutionise industries and deliver exceptional user experiences. Job Title: Full Stack Engineer Experience Level: 5–9 Years Employment Type: [Full-time] About The Role We’re looking for experienced Full Stack Engineers to join our growing team. You’ll play a key role in building highly interactive, AI-driven applications—from chat interfaces and operator-style workflows to dynamic dashboards and web/mobile apps. If you thrive in fast-paced environments, enjoy working across the stack, and are passionate about creating seamless user experiences, we’d love to hear from you. Key Responsibilities Design and develop end-to-end solutions across web and mobile platforms Create intelligent, AI-driven interfaces such as chat and dashboard experiences Build and maintain scalable and maintainable front-end and back-end architecture Collaborate with cross-functional teams on design, architecture, and product decisions Optimize applications for performance and scalability Write clean, efficient, and well-documented code Core Skillset Frontend React (Vanilla with Vite or frameworks like Next.js) TypeScript Component libraries (e.g., ShadCN/UI) Tailwind CSS React Server Components & SSR State Management: Zustand, Tanstack Query Schema Validation: Zod Forms & Data Viz: React Hook Form, ReCharts, Nivo Backend Node.js ORMs: Prisma, Drizzle Data Querying: Server Actions, Tanstack Query Databases: PostgreSQL, MongoDB DevOps & Cloud Docker & Kubernetes CI/CD with GitHub Actions Experience with cloud platforms: AWS, Azure, GCP Bonus Python scripting or backend experience Building chat interfaces or operator-style workflows Experience with real-time systems or complex dashboards Qualification - BE/B.Tech or MCA

3+ years of experience in a data analyst, business intelligence, or analytics engineering role. Expert-level proficiency in SQL is absolutely essential. You should be comfortable with complex joins, window functions, and query optimization. Proven experience with a modern BI platform like Power BI, Tableau, Looker, or Metabase, from data source connection to final dashboard design. Hands-on experience with dbt for data modeling and transformation. You should understand dbt's core concepts and workflows. Proficiency in Python for data analysis and automation, specifically with libraries like Pandas, NumPy, and Matplotlib. Strong analytical and problem-solving skills, with a demonstrated ability to translate business questions into analytical work and analytical work into business insights. Excellent communication skills, with the ability to present complex data stories to a non-technical audience. Preferred Skills & Experience (Nice-to-Haves) Experience querying data in a cloud data warehouse or serverless query engine (e.g., AWS Athena, Google BigQuery, Azure Synapse, Snowflake). Familiarity with version control using Git. Experience working directly with data from NoSQL databases like MongoDB. A solid understanding of data engineering concepts (e.g., data lakes, ETL vs. ELT, data ingestion). Experience conducting statistical analysis (e.g., A/B testing, regression analysis). Skills: mongodb,looker,snowflake,tableau,a/b testing,data analyst,bi dev,analytics,matplotlib,git,azure synapse,athena,aws athena,aws,python,power bi,azure,data,pandas,sql,concepts,google bigquery,numpy,automation,skills,dbt,metabase

3+ years of experience in a data analyst, business intelligence, or analytics engineering role. Expert-level proficiency in SQL is absolutely essential. You should be comfortable with complex joins, window functions, and query optimization. Proven experience with a modern BI platform like Power BI, Tableau, Looker, or Metabase, from data source connection to final dashboard design. Hands-on experience with dbt for data modeling and transformation. You should understand dbt's core concepts and workflows. Proficiency in Python for data analysis and automation, specifically with libraries like Pandas, NumPy, and Matplotlib. Strong analytical and problem-solving skills, with a demonstrated ability to translate business questions into analytical work and analytical work into business insights. Excellent communication skills, with the ability to present complex data stories to a non-technical audience. Preferred Skills & Experience (Nice-to-Haves) Experience querying data in a cloud data warehouse or serverless query engine (e.g., AWS Athena, Google BigQuery, Azure Synapse, Snowflake). Familiarity with version control using Git. Experience working directly with data from NoSQL databases like MongoDB. A solid understanding of data engineering concepts (e.g., data lakes, ETL vs. ELT, data ingestion). Experience conducting statistical analysis (e.g., A/B testing, regression analysis). Skills: mongodb,looker,snowflake,tableau,a/b testing,data analyst,bi dev,analytics,matplotlib,git,azure synapse,athena,aws athena,aws,python,power bi,azure,data,pandas,sql,concepts,google bigquery,numpy,automation,skills,dbt,metabase

Job Purpose The Senior Data Engineer designs, builds, and maintains scalable data pipelines and architectures to support the Denials AI workflow under the guidance of the Team Lead, Data Management. This role ensures data is reliable, compliant with HIPAA, and optimized Required Hours: 9AM-5PM EST Duties & Responsibilities Collaborate with the Team Lead and cross‑functional teams to gather and refine data requirements for Denials AI solutions. Design, implement, and optimize ETL/ELT pipelines using Python, Dagster, DBT, and AWS data services (Athena, Glue, SQS). Develop and maintain data models in PostgreSQL; write efficient SQL for querying and performance tuning. Monitor pipeline health and performance; troubleshoot data incidents and implement preventive measures. Enforce data quality and governance standards, including HIPAA compliance for PHI handling. Conduct code reviews, share best practices, and mentor junior data engineers. Automate deployment and monitoring tasks using infrastructure-as-code and AWS CloudWatch metrics and alarms. Document data workflows, schemas, and operational runbooks to support team knowledge transfer. Qualifications Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field. 5+ years of hands‑on experience building and operating production‑grade data pipelines. Solid experience with workflow orchestration tools (Dagster) and transformation frameworks (DBT) or other similar tools such (Microsoft SSIS, AWS Glue, Air Flow). Strong SQL skills on PostgreSQL for data modeling and query optimization or any other similar technologies (Microsoft SQL Server, Oracle, AWS RDS). Working knowledge with AWS data services: Athena, Glue, SQS, SNS, IAM, and CloudWatch. Basic proficiency in Python and Python data frameworks (Pandas, PySpark). Experience with version control (GitHub) and CI/CD for data projects. Familiarity with healthcare data standards and HIPAA compliance. Excellent problem‑solving skills, attention to detail, and ability to work independently. Strong communication skills, with experience mentoring or leading small technical efforts. Working Conditions Regular working hours; on-call for data pipeline incident response. Physical Demands: While performing the duties of this job, the employee is occasionally required to move around the work area; Sit; perform manual tasks; operate tools and other office equipment such as computer, computer peripherals and telephones; extend arms; kneel; talk and hear. Mental Demands: The employee must be able to follow directions, collaborate with others, and handle stress. Work Environment: The noise level in the work environment is usually minimal. Med-Metrix will not discriminate against any employee or applicant for employment because of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), political affiliation, military service, veteran status, other non-merit based factors, or any other characteristic protected by federal, state or local law.

Data Analyst – Tableau and Snowflake We provide virtual business process services to various types of overseas clients, and this position is to be part of the team which provides Data Analytics and Visualization Services to client from Finance industry from the UK. About the Role We are seeking a passionate and analytical Data Analyst with strong hands-on experience in Tableau and SQL to join our growing data team. This role will focus on building and maintaining interactive dashboards, analyzing business data from Snowflake, and delivering actionable insights that empower data-driven decisions across departments. If you enjoy transforming raw data into meaningful visual stories and working with stakeholders to iterate and refine reporting needs, this role is for you. Responsibilities Design, build, and maintain Tableau dashboards that deliver clear insights and business KPIs. Collaborate with cross-functional stakeholders to gather requirements, iterate solutions, and ensure data accuracy and usability. Extract and analyze data from Snowflake using advanced SQL queries, including CTEs, joins, and window functions. Optimize Tableau reports for performance and responsiveness, using best practices in design and calculation efficiency. Proactively troubleshoot data and visualization issues and provide timely solutions. Translate complex data into clear, concise insights for both technical and non-technical audiences. Identify trends, anomalies, and patterns within large datasets to inform business decisions. Support data validation and QA to ensure data consistency and reliability. Qualifications and experience 2–4 years of experience in a Data Analyst, BI Analyst, or similar role. Demonstrable experience with Tableau (please include Tableau Public or project portfolio if available). Strong understanding of Tableau technical aspects: dashboard actions, LOD expressions, table calculations, extract vs live data, and performance tuning. Proven ability in SQL, with experience querying and analyzing datasets in Snowflake or similar cloud data warehouses. Experience collaborating with stakeholders to iterate and finalize reporting solutions. Strong analytical mindset with the ability to draw insights from complex datasets. Excellent communication skills—both written and verbal—with the ability to explain technical concepts in business terms. Location: Work from home Timings: UK Shift IST 1pm to 10pm Salary range: Best in Industry Apply at: https://www.finacplus.com/current-openings/

The Data Engineer is accountable for developing high quality data products to support the Bank’s regulatory requirements and data driven decision making. A Data Engineer will serve as an example to other team members, work closely with customers, and remove or escalate roadblocks. By applying their knowledge of data architecture standards, data warehousing, data structures, and business intelligence they will contribute to business outcomes on an agile team. Responsibilities: - Developing and supporting scalable, extensible, and highly available data solutions Deliver on critical business priorities while ensuring alignment with the wider architectural vision Identify and help address potential risks in the data supply chain Follow and contribute to technical standards Design and develop analytical data models Required Qualifications & Work Experience First Class Degree in Engineering/Technology (4-year graduate course) 9 to 11 years’ experience implementing data-intensive solutions using agile methodologies Experience of relational databases and using SQL for data querying, transformation and manipulation Experience of modelling data for analytical consumers Ability to automate and streamline the build, test and deployment of data pipelines Experience in cloud native technologies and patterns A passion for learning new technologies, and a desire for personal growth, through self-study, formal classes, or on-the-job training Excellent communication and problem-solving skills An inclination to mentor; an ability to lead and deliver medium sized components independently Technical Skills (Must Have) ETL: Hands on experience of building data pipelines. Proficiency in two or more data integration platforms such as Ab Initio, Apache Spark, Talend and Informatica Big Data: Experience of ‘big data’ platforms such as Hadoop, Hive or Snowflake for data storage and processing Data Warehousing & Database Management: Expertise around Data Warehousing concepts, Relational (Oracle, MSSQL, MySQL) and NoSQL (MongoDB, DynamoDB) database design Data Modeling & Design: Good exposure to data modeling techniques; design, optimization and maintenance of data models and data structures Languages: Proficient in one or more programming languages commonly used in data engineering such as Python, Java or Scala DevOps: Exposure to concepts and enablers - CI/CD platforms, version control, automated quality control management Data Governance: A strong grasp of principles and practice including data quality, security, privacy and compliance Technical Skills (Valuable) Ab Initio: Experience developing Co>Op graphs; ability to tune for performance. Demonstrable knowledge across full suite of Ab Initio toolsets e.g., GDE, Express>IT, Data Profiler and Conduct>IT, Control>Center, Continuous>Flows Cloud: Good exposure to public cloud data platforms such as S3, Snowflake, Redshift, Databricks, BigQuery, etc. Demonstratable understanding of underlying architectures and trade-offs Data Quality & Controls: Exposure to data validation, cleansing, enrichment and data controls Containerization: Fair understanding of containerization platforms like Docker, Kubernetes File Formats: Exposure in working on Event/File/Table Formats such as Avro, Parquet, Protobuf, Iceberg, Delta Others: Experience of using a Job scheduler e.g., Autosys. Exposure to Business Intelligence tools e.g., Tableau, Power BI Certification on any one or more of the above topics would be an advantage ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Digital Software Engineering ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

Job Purpose Experienced Automation Engineer with firsthand and in-depth experience in Katalon Studio or similar tools like Selenium. In this role the candidate will be part of planning, development, execution, and maintenance of our automation test framework, ensuring high quality product delivery across our applications. This role will also involve working closely with Lead Automation and collaborating closely with the Functional QA Testing team and development team to follow best practices for test automation. Required Hours: 9AM-5PM EST 10+ Years Experience Is Required (non-negotiable) Duties & Responsibilities Design and implementation of automation test frameworks using Katalon Studio Work in close partnership with the Automation Team Lead to deliver automation projects within defined timelines. Responsible for testing complex, highly integrated software systems developed in a fast-paced agile development environment. Develop and maintain automated test scripts for UI, API, Regression and End-To-End testing. Collaborate with the Development and Product team and internally with QA Functional Team members to understand business requirements and translate them into test cases under the guidance of Lead Automation Engineer Ensure Continuous Integration (CI) of test automation using tools like Jenkins , Gitlab CI or Azure DevOps Skilled in applying SQL for data validation and embedding database logic into test automation workflows. Demonstrate Excellent documentation skills and ability to analyze test results, identify root causes and report defects in a timely manner to teams and management. Monitor and improve test coverage and automation effectiveness and execution efficiency. Advocate for and ensure that the team performs the prescribed quality practices. Validate conformance to requirements and that acceptance criteria have been met. Escalate issues or obstacles appropriately and timely. Provide insightful input to retrospectives. Qualifications: 10+ years of recent experience in Automation using Katalon or other automation tools like selenium. Katalon certification is a plus Knowledge of BDD frameworks (e.g., Cucumber). Experience with performance testing tools like JMeter or LoadRunner. Experience in cloud platforms and containerized environments (AWS, Docker, Kubernetes). Experienced in leveraging test management platforms (e.g., QMetry, TestRail) for organizing and executing QA activities. Practical knowledge of SQL for querying and data and incorporating it into automated scripts. Ability to multi-task with several complex and demanding Projects Solid work experience as a Functional QA Tester Strong understanding of the QA process and collaborating with the Development team. Experience in project management and QA methodology Excellent Ability to document and troubleshoot errors and escalate to team lead on priority. Knowledge to troubleshoot potential issues; experience with best practices around database operations. Strong verbal and written communication skills with the ability to communicate technical and non-technical concepts to peers and management. Proven ability to manage multiple complex and high-priority projects simultaneously. Working Conditions: Physical Demands: While performing the duties of this job, the employee is occasionally required to move around the work area; Sit; perform manual tasks; operate tools and other office equipment such as computer, computer peripherals and telephones; extend arms; kneel; talk and hear. Mental Demands: The employee must be able to follow directions, collaborate with others, and handle stress. Work Environment: The noise level in the work environment is usually minimal. Med-Metrix will not discriminate against any employee or applicant for employment because of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), political affiliation, military service, veteran status, other non-merit based factors, or any other characteristic protected by federal, state or local law.

Job Description We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within the Employee Platforms Organization, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. Job Responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, equity, inclusion, and respect Required Qualifications, Capabilities, And Skills Formal training or certification on UI concepts and 3+ years applied experience Working experience as a professional UI developer with Bachelor’s degree in computer science or information technology Hands-on practical experience in system design, application development, testing, and operational stability Proficient in coding in Javascript, TypeScript, HTML, CSS, Responsiveness and Accessibility. Strong understanding of front-end coding and development technologies Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle coupled with solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Expert knowledge in ReactJs, Redux, React hooks. Proficiency using GIT for source control Practice of Clean code principles, TDD and React Testing Library, Playwright end-to-end testing. Preferred Qualifications, Capabilities, And Skills Familiarity with Full stack development with ReactJs and EXDS/Any Design System components Familiarity with working in event driven environments, messaging platforms, modern front-end technologies Good understanding of Typescript, cross-browser compatibility issues and their solutions, exposure to cloud technologies Experience working with Databases and ability to write sql queries. About Us JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You’ll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.

About The Role Grade Level (for internal use): 07 The Team: As our Client Support team expands, you will play a pivotal role in sustaining our momentum. Join a team of innovators dedicated to problem-solving and delivering unparalleled customer experiences in a dynamic environment. Together, we serve our diverse global clientele with excellence. Our management is committed to fostering a workplace that nurtures the growth and potential of our colleagues. The Impact: As a leading force in transaction reporting worldwide, Cappitech has been delivering regulatory technology solutions for over twenty years. Our cloud-based, cross-regulation Software as a Service (SaaS) platform empowers banks, brokers, hedge funds, asset managers, insurance companies, and corporates to meet global regulatory standards seamlessly. With a diverse workforce representing our global clientele, we embody S&P Global values of inclusivity, collaboration, and integrity. What’s In It For You Global Nature of the Role: Collaborate with diverse teams across multiple regions to resolve client queries, gaining global insights and understanding of derivative markets, regulations, and practices. Impactful Contribution: Play a key role in providing excellent customer experience that directly influence business outcomes and shape the future direction of the product. Exposure to Industry Experts: Work closely with industry experts, decision-makers, and thought leaders, offering a unique opportunity to build valuable product. Roles And Responsibilities Addressing customer inquiries and requests promptly and efficiently, ensuring resolution within specified timelines. Assisting clients in comprehending the functionality of the solution and resolving reporting challenges. Collaborating with product, application support and development teams to identify and rectify bugs and issues, and testing implemented fixes. Timely escalation of issues and ensuring proper follow-up until resolution. Supporting validation or User Acceptance Testing (UAT) for issue resolution. Contributing to client-specific projects as required. Conducting Root Cause Analysis to identify the source of data inconsistencies. Troubleshooting client inquiries and issues by reviewing data in various formats such as Excel files, JSON, XML, FPML messages, and comparing them against mapping sheets, technical specifications, and business requirements to resolve issues or identify system bugs. What We’re Looking For Possession of a bachelor’s or master’s degree in business administration, technology, or a related field. Completion of any financial certifications such as FRM or CFA would be a plus. Proficiency in Excel and SQL is desired. Demonstrated experience of up to 2 years in financial markets or fintech. Understanding of the trade lifecycle across major financial asset classes including securities finance, exchange-traded, and OTC derivatives. Familiarity with financial markets and Regulatory Reporting Regimes (SFTR/MiFID/EMIR/ASIC/MAS/JFSA/CFTC) would be a plus. Ability to comprehend technical concepts. Competence in querying and extracting data from databases. Knowledge of other vendor systems like ANNA, Reuters etc. is advantageous. About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit www.spglobal.com/marketintelligence. What’s In It For You? Our Purpose Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our Benefits Include Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring And Opportunity At S&P Global At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf 20 - Professional (EEO-2 Job Categories-United States of America), OPRTON203 - Entry Professional (EEO Job Group) Job ID: 317689 Posted On: 2025-07-17 Location: Noida, Uttar Pradesh, India

DESCRIPTION TOC (Transportation Operation Center) is the central command and control center for ‘Transportation Execution’ across the Amazon Supply Chain network supporting multiple geographies like NA, India and EU. It ensures hassle free, timely pick-up and delivery of freight from vendors to Amazon fulfillment centers (FC) and from Amazon FCs to carrier hubs. In case of any exceptions, TOC steps in to resolve the issue and keeps all the stakeholders informed on the proceedings. Along with this tactical problem solving TOC is also charged with understanding trends in network exceptions and then automating processes or proposing process changes to streamline operations. This second aspect involves network monitoring and significant analysis of network data. Overall, TOC plays a critical role in ensuring the smooth functioning of Amazon transportation and thereby has a direct impact on Amazon’s ability to serve its customers on time. Purview of a Trans Ops Specialist A Trans Ops Specialist at TOC facilitates flow of information between different stakeholders (Trans Carriers/Hubs/Warehouses) and resolves any potential issues that impacts customer experience and business continuity. Trans Ops Specialist at TOC works across two verticals – Inbound and Outbound operations. Inbound Operations deals with Vendor/Carrier/FC relationship, ensuring that the freight is picked-up on time and is delivered at FC as per the given appointment. Trans Ops Specialist on Inbound addresses any potential issues occurring during the lifecycle of pick-up to delivery. Outbound Operations deals with FC/Carrier/Carrier Hub relationship, ensuring that the truck leaves the FC in order to delivery customer orders as per promise. Trans Ops Specialist on Outbound addresses any potential issues occurring during the lifecycle of freight leaving the FC and reaching customer premises. A Trans Ops Specialist provides timely resolution to the issue in hand by researching and querying internal tools and by taking real-time decisions. An ideal candidate should be able to understand the requirements/be able to analyze data and notice trends and be able to drive Customer Experience without compromising on time. The candidate should have the basic understanding of Logistics and should be able to communicate clearly in the written and oral form. Trans Ops Specialist should be able to ideate process improvements and should have the zeal to drive them to conclusion. Responsibilities Include, But Are Not Limited To: Communication with external customers (Carriers, Vendors/Suppliers) and internal customers (Retail, Finance, Software Support, Fulfillment Centers) Ability to pull data from numerous databases (using Excel, Access, SQL and/or other data management systems) and to perform ad hoc reporting and analysis as needed is a plus. Develop and/or understand performance metrics to assist with driving business results. Ability to scope out business and functional requirements for the Amazon technology teams who create and enhance the software systems and tools are used by TOC. Must be able to quickly understand the business impact of the trends and make decisions that make sense based on available data. Must be able to systematically escalate problems or variance in the information and data to the relevant owners and teams and follow through on the resolutions to ensure they are delivered. Work within various time constraints to meet critical business needs, while measuring and identifying activities performed. Excellent communication, both verbal and written as one may be required to create a narrative outlining weekly findings and the variances to goals, and present these finding in a review forum. Providing real-time customer experience by working in 24*7 operating environment. A day in the life About The Hiring Group Job responsibilities A day in the life About The Hiring Group Job responsibilities BASIC QUALIFICATIONS Bachelor’s degree 10-24 months of work experience. Good communication skills - Trans Ops Specialist will be facilitating flow of information between external teams Proficiency in Advanced Excel (pivot tables, vlookups) Demonstrated ability to work in a team in a very dynamic environment PREFERRED QUALIFICATIONS Logistics background and lean/six sigma training is a plus Proficient in SQL Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Uttar Pradesh - F26 Job ID: A3036848

DESCRIPTION TOC (Transportation Operation Center) is the central command and control center for ‘Transportation Execution’ across the Amazon Supply Chain network supporting multiple geographies like NA, India and EU. It ensures hassle free, timely pick-up and delivery of freight from vendors to Amazon fulfillment centers (FC) and from Amazon FCs to carrier hubs. In case of any exceptions, TOC steps in to resolve the issue and keeps all the stakeholders informed on the proceedings. Along with this tactical problem solving TOC is also charged with understanding trends in network exceptions and then automating processes or proposing process changes to streamline operations. This second aspect involves network monitoring and significant analysis of network data. Overall, TOC plays a critical role in ensuring the smooth functioning of Amazon transportation and thereby has a direct impact on Amazon’s ability to serve its customers on time. Purview of a Trans Ops Specialist A Trans Ops Specialist at TOC facilitates flow of information between different stakeholders (Trans Carriers/Hubs/Warehouses) and resolves any potential issues that impacts customer experience and business continuity. Trans Ops Specialist at TOC works across two verticals – Inbound and Outbound operations. Inbound Operations deals with Vendor/Carrier/FC relationship, ensuring that the freight is picked-up on time and is delivered at FC as per the given appointment. Trans Ops Specialist on Inbound addresses any potential issues occurring during the lifecycle of pick-up to delivery. Outbound Operations deals with FC/Carrier/Carrier Hub relationship, ensuring that the truck leaves the FC in order to delivery customer orders as per promise. Trans Ops Specialist on Outbound addresses any potential issues occurring during the lifecycle of freight leaving the FC and reaching customer premises. A Trans Ops Specialist provides timely resolution to the issue in hand by researching and querying internal tools and by taking real-time decisions. An ideal candidate should be able to understand the requirements/be able to analyze data and notice trends and be able to drive Customer Experience without compromising on time. The candidate should have the basic understanding of Logistics and should be able to communicate clearly in the written and oral form. Trans Ops Specialist should be able to ideate process improvements and should have the zeal to drive them to conclusion. Responsibilities Include, But Are Not Limited To: Communication with external customers (Carriers, Vendors/Suppliers) and internal customers (Retail, Finance, Software Support, Fulfillment Centers) Ability to pull data from numerous databases (using Excel, Access, SQL and/or other data management systems) and to perform ad hoc reporting and analysis as needed is a plus. Develop and/or understand performance metrics to assist with driving business results. Ability to scope out business and functional requirements for the Amazon technology teams who create and enhance the software systems and tools are used by TOC. Must be able to quickly understand the business impact of the trends and make decisions that make sense based on available data. Must be able to systematically escalate problems or variance in the information and data to the relevant owners and teams and follow through on the resolutions to ensure they are delivered. Work within various time constraints to meet critical business needs, while measuring and identifying activities performed. Excellent communication, both verbal and written as one may be required to create a narrative outlining weekly findings and the variances to goals, and present these finding in a review forum. Providing real-time customer experience by working in 24*7 operating environment. A day in the life About The Hiring Group Job responsibilities A day in the life About The Hiring Group Job responsibilities BASIC QUALIFICATIONS Bachelor’s degree 10-24 months of work experience. Good communication skills - Trans Ops Specialist will be facilitating flow of information between external teams Proficiency in Advanced Excel (pivot tables, vlookups) Demonstrated ability to work in a team in a very dynamic environment PREFERRED QUALIFICATIONS Logistics background and lean/six sigma training is a plus Proficient in SQL Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Uttar Pradesh - F26 Job ID: A3036846

The Data Engineer is accountable for developing high quality data products to support the Bank’s regulatory requirements and data driven decision making. A Data Engineer will serve as an example to other team members, work closely with customers, and remove or escalate roadblocks. By applying their knowledge of data architecture standards, data warehousing, data structures, and business intelligence they will contribute to business outcomes on an agile team. Responsibilities Developing and supporting scalable, extensible, and highly available data solutions Deliver on critical business priorities while ensuring alignment with the wider architectural vision Identify and help address potential risks in the data supply chain Follow and contribute to technical standards Design and develop analytical data models Required Qualifications & Work Experience First Class Degree in Engineering/Technology (4-year graduate course) 7 to 12 years’ experience implementing data-intensive solutions using agile methodologies Experience of relational databases and using SQL for data querying, transformation and manipulation Experience of modelling data for analytical consumers Ability to automate and streamline the build, test and deployment of data pipelines Experience in cloud native technologies and patterns A passion for learning new technologies, and a desire for personal growth, through self-study, formal classes, or on-the-job training Excellent communication and problem-solving skills An inclination to mentor; an ability to lead and deliver medium sized components independently T echnical Skills (Must Have) ETL: Design, develop, and maintain scalable and efficient data processing pipelines using Python and Spark. Big Data: Experience of ‘big data’ platforms such as Hadoop, Hive for data storage and processing. Data Warehousing & Database Management: Understanding of Data Warehousing concepts, Any Relational Databases (Oracle, MSSQL, MySQL) including SQL & performance tuning. Data Modeling & Design: Good exposure to data modeling techniques; design, optimization and maintenance of data models and data structures Languages: Proficient in Python programming language. DevOps: Exposure to concepts and enablers - CI/CD platforms, version control, automated quality control management. Technical Skills (Valuable/Good To Have) ETL: Design, develop, and maintain scalable and efficient data processing pipelines using Python and Spark. Big Data: Experience of ‘big data’ platforms such as Hadoop, Hive for data storage and processing. Data Warehousing & Database Management: Understanding of Data Warehousing concepts, Any Relational Databases (Oracle, MSSQL, MySQL) including SQL & performance tuning. Data Modeling & Design: Good exposure to data modeling techniques; design, optimization and maintenance of data models and data structures Languages: Proficient in Python programming language. DevOps: Exposure to concepts and enablers - CI/CD platforms, version control, automated quality control management. Cloud: Experience with AWS Cloud Platform. DevOps: Experience with CI/CD Tools like LSE (Light Speed Enterprise), Jenkins, GitHub. Certification on any of the above topics would be an advantage Data Quality & Controls: Exposure to data validation, cleansing, enrichment and data controls Containerization: Fair understanding of containerization platforms like Docker, Kubernetes File Formats: Exposure in working on Event/File/Table Formats such as Avro, Parquet, Protobuf, Iceberg, Delta Others: Experience of using a Job scheduler e.g., Autosys. Exposure to Business Intelligence tools e.g., Tableau, Power BI ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Digital Software Engineering ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

The Data Engineer is accountable for developing high quality data products to support the Bank’s regulatory requirements and data driven decision making. A Data Engineer will serve as an example to other team members, work closely with customers, and remove or escalate roadblocks. By applying their knowledge of data architecture standards, data warehousing, data structures, and business intelligence they will contribute to business outcomes on an agile team. Responsibilities Developing and supporting scalable, extensible, and highly available data solutions Deliver on critical business priorities while ensuring alignment with the wider architectural vision Identify and help address potential risks in the data supply chain Follow and contribute to technical standards Design and develop analytical data models Required Qualifications & Work Experience First Class Degree in Engineering/Technology (4-year graduate course) 7 to 12 years’ experience implementing data-intensive solutions using agile methodologies Experience of relational databases and using SQL for data querying, transformation and manipulation Experience of modelling data for analytical consumers Ability to automate and streamline the build, test and deployment of data pipelines Experience in cloud native technologies and patterns A passion for learning new technologies, and a desire for personal growth, through self-study, formal classes, or on-the-job training Excellent communication and problem-solving skills An inclination to mentor; an ability to lead and deliver medium sized components independently Technical Skills (Must Have) ETL: Design, develop, and maintain scalable and efficient data processing pipelines using Python and Spark. Big Data: Experience of ‘big data’ platforms such as Hadoop, Hive for data storage and processing. Data Warehousing & Database Management: Understanding of Data Warehousing concepts, Any Relational Databases (Oracle, MSSQL, MySQL) including SQL & performance tuning. Data Modeling & Design: Good exposure to data modeling techniques; design, optimization and maintenance of data models and data structures Languages: Proficient in Python programming language. DevOps: Exposure to concepts and enablers - CI/CD platforms, version control, automated quality control management. Technical Skills (Valuable/Good To Have) ETL: Design, develop, and maintain scalable and efficient data processing pipelines using Python and Spark. Big Data: Experience of ‘big data’ platforms such as Hadoop, Hive for data storage and processing. Data Warehousing & Database Management: Understanding of Data Warehousing concepts, Any Relational Databases (Oracle, MSSQL, MySQL) including SQL & performance tuning. Data Modeling & Design: Good exposure to data modeling techniques; design, optimization and maintenance of data models and data structures Languages: Proficient in Python programming language. DevOps: Exposure to concepts and enablers - CI/CD platforms, version control, automated quality control management. Cloud: Experience with AWS Cloud Platform. DevOps: Experience with CI/CD Tools like LSE (Light Speed Enterprise), Jenkins, GitHub. Certification on any of the above topics would be an advantage Data Quality & Controls: Exposure to data validation, cleansing, enrichment and data controls Containerization: Fair understanding of containerization platforms like Docker, Kubernetes File Formats: Exposure in working on Event/File/Table Formats such as Avro, Parquet, Protobuf, Iceberg, Delta Others: Experience of using a Job scheduler e.g., Autosys. Exposure to Business Intelligence tools e.g., Tableau, Power BI ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Digital Software Engineering ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

Key Responsibilities Develop and maintain daily, weekly, and monthly MIS reports according to the lender's specific requirements. Extract and analyze data from internal systems (e.g., ERP, CRM, SQL databases). Automate regular reports using Excel (Macros, PivotTables, VLOOKUP, etc.) and/or tools like Power BI, Tableau, Google Data Studio. Coordinate with departments to gather data and ensure its accuracy. Provide actionable insights based on trend and variance analysis. Assist in forecasting and monitoring performance. Troubleshoot and resolve data discrepancies and system issues. Support senior management with ad-hoc reporting and analysis needs. Key Skills & Competencies Advanced proficiency in MS Excel (Formulas, Pivot Tables, Charts, Macros). Knowledge of database querying tools (SQL preferred). Experience with BI tools like Power BI and Tableau (optional but preferred). Strong analytical and problem-solving skills. Attention to detail and a high level of accuracy. Good communication and interpersonal skills. Ability to manage multiple tasks and meet tight deadlines. Qualifications & Experience Bachelor’s degree or related field. 1–2 years of experience in MIS reporting or a similar analytical role.

Neokred is a FinTech company based in Bangalore and an ISO 9001 | 27001, 27701 & 20000-1 certified firm in Information and Data security. The company builds Consumer Tech for Financial Infrastructure stack to provide curated versions of embedded banking in the payment ecosystem. We've created a platform which enables Corporates, Banks, FinTechs, Retail Companies, and Start-ups to launch their own banking services or financial products, such as issuance of co-branded cards, facilitating lending, and virtual bank accounts and KYC for their customers or employees with the help of low code plug and play technology stack. BRIEF DESCRIPTION OF THE ROLE: We are seeking an experienced and detail-oriented Junior Quality Analyst to join our quality assurance team. The ideal candidate will have extensive experience in developing and executing test plans, identifying and documenting bugs, and ensuring the delivery of high-quality software products. As a Junior QA Engineer, you will play a crucial role in maintaining the standards of our software applications. Your KRAs will include the following: Excellent knowledge in test case management and bug tracking systems such as JIRA or any other tools. Understand and analyze functional and non-functional requirements to prepare relevant test cases. Design, write, and execute manual test cases for functional, regression, and smoke testing. Conduct functional, Integration, System testing and API testing using POSTMAN. Knowledge on Security Testing ( Burp Suite). Exposure to performance testing concepts and willingness to learn tools like JMeter or Gatling. Hands On Automation Testing: Develop and maintain robust test automation scripts using tools such as Selenium or Cypress. Capability to run and validate basic queries in SQL or NoSQL databases (e.g., MySQL, MongoDB). Clear and concise communication skills for documentation, reporting, and team interaction. Working closely with development teams, product managers, and other stakeholders to ensure seamless integration and delivery of quality products. Contribute to test case documentation, updates, and maintenance in test management tools. Create and share daily test execution reports and summaries with the QA team. Ability to work effectively in a fast-paced environment and manage multiple priorities simultaneously. YOU SHOULD POSSESS: Bachelor’s degree in computer science or related field with 1+ years as a full-time. Hands-on experience in Software Quality Assurance ( Manual and Automation ). Knowledge on MongoDB & SQL queries. Knowledge on Security and Penetration testing tools and manual penetration techniques. Working knowledge of tool and technologies like Jenkins, GIT, Maven, TestNG, JIRA and any Bug Tracking tools. Hands-on experience with Selenium automation using Java or python. ( Mandatory ) Strong foundational knowledge of software testing concepts, QA processes, and SDLC/STLC. API Test Automation : Use tools such as Postman, Rest Assured, or SOAP UI to automate and execute API test cases. ( Mandatory ) Knowledge on Accessibility Compliance Testing – Web vulnerability Testing. Hands-on experience with Appium automation & with one or more querying languages such SQL and No SQL databases.

DESCRIPTION TOC (Transportation Operation Center) is the central command and control center for ‘Transportation Execution’ across the Amazon Supply Chain network supporting multiple geographies like NA, India and EU. It ensures hassle free, timely pick-up and delivery of freight from vendors to Amazon fulfillment centers (FC) and from Amazon FCs to carrier hubs. In case of any exceptions, TOC steps in to resolve the issue and keeps all the stakeholders informed on the proceedings. Along with this tactical problem solving TOC is also charged with understanding trends in network exceptions and then automating processes or proposing process changes to streamline operations. This second aspect involves network monitoring and significant analysis of network data. Overall, TOC plays a critical role in ensuring the smooth functioning of Amazon transportation and thereby has a direct impact on Amazon’s ability to serve its customers on time. Purview of a Trans Ops Specialist A Trans Ops Specialist at TOC facilitates flow of information between different stakeholders (Trans Carriers/Hubs/Warehouses) and resolves any potential issues that impacts customer experience and business continuity. Trans Ops Specialist at TOC works across two verticals – Inbound and Outbound operations. Inbound Operations deals with Vendor/Carrier/FC relationship, ensuring that the freight is picked-up on time and is delivered at FC as per the given appointment. Trans Ops Specialist on Inbound addresses any potential issues occurring during the lifecycle of pick-up to delivery. Outbound Operations deals with FC/Carrier/Carrier Hub relationship, ensuring that the truck leaves the FC in order to delivery customer orders as per promise. Trans Ops Specialist on Outbound addresses any potential issues occurring during the lifecycle of freight leaving the FC and reaching customer premises. A Trans Ops Specialist provides timely resolution to the issue in hand by researching and querying internal tools and by taking real-time decisions. An ideal candidate should be able to understand the requirements/be able to analyze data and notice trends and be able to drive Customer Experience without compromising on time. The candidate should have the basic understanding of Logistics and should be able to communicate clearly in the written and oral form. Trans Ops Specialist should be able to ideate process improvements and should have the zeal to drive them to conclusion. Responsibilities Include, But Are Not Limited To: Communication with external customers (Carriers, Vendors/Suppliers) and internal customers (Retail, Finance, Software Support, Fulfillment Centers) Ability to pull data from numerous databases (using Excel, Access, SQL and/or other data management systems) and to perform ad hoc reporting and analysis as needed is a plus. Develop and/or understand performance metrics to assist with driving business results. Ability to scope out business and functional requirements for the Amazon technology teams who create and enhance the software systems and tools are used by TOC. Must be able to quickly understand the business impact of the trends and make decisions that make sense based on available data. Must be able to systematically escalate problems or variance in the information and data to the relevant owners and teams and follow through on the resolutions to ensure they are delivered. Work within various time constraints to meet critical business needs, while measuring and identifying activities performed. Excellent communication, both verbal and written as one may be required to create a narrative outlining weekly findings and the variances to goals, and present these finding in a review forum. Providing real-time customer experience by working in 24*7 operating environment. A day in the life About The Hiring Group Job responsibilities A day in the life About The Hiring Group Job responsibilities BASIC QUALIFICATIONS Bachelor’s degree 10-24 months of work experience. Good communication skills - Trans Ops Specialist will be facilitating flow of information between external teams Proficiency in Advanced Excel (pivot tables, vlookups) Demonstrated ability to work in a team in a very dynamic environment PREFERRED QUALIFICATIONS Logistics background and lean/six sigma training is a plus Proficient in SQL Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Uttar Pradesh - F26 Job ID: A3036846

DATA SCIENCE + GEN AI Major Duties & Responsibilities • Work with business stakeholders and cross-functional SMEs to deeply understand business context and key business questions • Create Proof of concepts (POCs) / Minimum Viable Products (MVPs), then guide them through to production deployment and operationalization of projects • Influence machine learning strategy for Digital programs and projects • Make solution recommendations that appropriately balance speed to market and analytical soundness • Explore design options to assess efficiency and impact, develop approaches to improve robustness and rigor • Develop analytical / modelling solutions using a variety of commercial and open-source tools (e.g., Python, R, TensorFlow) • Formulate model-based solutions by combining machine learning algorithms with other techniques such as simulations. • Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations, scenarios, and stories. • Create algorithms to extract information from large, multiparametric data sets. • Deploy algorithms to production to identify actionable insights from large databases. • Compare results from various methodologies and recommend optimal techniques. • Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations, scenarios, and stories. • Develop and embed automated processes for predictive model validation, deployment, and implementation • Work on multiple pillars of AI including cognitive engineering, conversational bots, and data science • Ensure that solutions exhibit high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment • Lead discussions at peer review and use interpersonal skills to positively influence decision making • Provide thought leadership and subject matter expertise in machine learning techniques, tools, and concepts; make impactful contributions to internal discussions on emerging practices • Facilitate cross-geography sharing of new ideas, learnings, and best-practices Required Qualifications • Bachelor of Science or Bachelor of Engineering at a minimum. • 4+ years of work experience as a Data Scientist • A combination of business focus, strong analytical and problem-solving skills, and programming knowledge to be able to quickly cycle hypothesis through the discovery phase of a project • Advanced skills with statistical/programming software (e.g., R, Python) and data querying languages (e.g., SQL, Hadoop/Hive, Scala) • Good hands-on skills in both feature engineering and hyperparameter optimization • Experience producing high-quality code, tests, documentation • Experience with Microsoft Azure or AWS data management tools such as Azure Data factory, data lake, Azure ML, Synapse, Databricks • Understanding of descriptive and exploratory statistics, predictive modelling, evaluation metrics, decision trees, machine learning algorithms, optimization & forecasting techniques, and / or deep learning methodologies • Proficiency in statistical concepts and ML algorithms • Good knowledge of Agile principles and process • Ability to lead, manage, build, and deliver customer business results through data scientists or professional services team • Ability to share ideas in a compelling manner, to clearly summarize and communicate data analysis assumptions and results • Self-motivated and a proactive problem solver who can work independently and in teams Must to Have : Agent Framework, RAG Framework, Chunking Strategies, LLMs, AI on cloud Services, Open Source Frameworks like Langchain, Llama Index, Vector Database, Token Management, Knowledge Graph, Vision APIs, Prompt Engineering Good to have : AI Algorithms, Deep Learning,Computer Vision, Hallucination Control Mechanism, Responsible AI frameworks Tech : Python, SQL, Docker, Versioning tool, Azure/AWS/GCP

DESCRIPTION TOC (Transportation Operation Center) is the central command and control center for ‘Transportation Execution’ across the Amazon Supply Chain network supporting multiple geographies like NA, India and EU. It ensures hassle free, timely pick-up and delivery of freight from vendors to Amazon fulfillment centers (FC) and from Amazon FCs to carrier hubs. In case of any exceptions, TOC steps in to resolve the issue and keeps all the stakeholders informed on the proceedings. Along with this tactical problem solving TOC is also charged with understanding trends in network exceptions and then automating processes or proposing process changes to streamline operations. This second aspect involves network monitoring and significant analysis of network data. Overall, TOC plays a critical role in ensuring the smooth functioning of Amazon transportation and thereby has a direct impact on Amazon’s ability to serve its customers on time. Purview of a Trans Ops Specialist A Trans Ops Specialist at TOC facilitates flow of information between different stakeholders (Trans Carriers/Hubs/Warehouses) and resolves any potential issues that impacts customer experience and business continuity. Trans Ops Specialist at TOC works across two verticals – Inbound and Outbound operations. Inbound Operations deals with Vendor/Carrier/FC relationship, ensuring that the freight is picked-up on time and is delivered at FC as per the given appointment. Trans Ops Specialist on Inbound addresses any potential issues occurring during the lifecycle of pick-up to delivery. Outbound Operations deals with FC/Carrier/Carrier Hub relationship, ensuring that the truck leaves the FC in order to delivery customer orders as per promise. Trans Ops Specialist on Outbound addresses any potential issues occurring during the lifecycle of freight leaving the FC and reaching customer premises. A Trans Ops Specialist provides timely resolution to the issue in hand by researching and querying internal tools and by taking real-time decisions. An ideal candidate should be able to understand the requirements/be able to analyze data and notice trends and be able to drive Customer Experience without compromising on time. The candidate should have the basic understanding of Logistics and should be able to communicate clearly in the written and oral form. Trans Ops Specialist should be able to ideate process improvements and should have the zeal to drive them to conclusion. Responsibilities Include, But Are Not Limited To: Communication with external customers (Carriers, Vendors/Suppliers) and internal customers (Retail, Finance, Software Support, Fulfillment Centers) Ability to pull data from numerous databases (using Excel, Access, SQL and/or other data management systems) and to perform ad hoc reporting and analysis as needed is a plus. Develop and/or understand performance metrics to assist with driving business results. Ability to scope out business and functional requirements for the Amazon technology teams who create and enhance the software systems and tools are used by TOC. Must be able to quickly understand the business impact of the trends and make decisions that make sense based on available data. Must be able to systematically escalate problems or variance in the information and data to the relevant owners and teams and follow through on the resolutions to ensure they are delivered. Work within various time constraints to meet critical business needs, while measuring and identifying activities performed. Excellent communication, both verbal and written as one may be required to create a narrative outlining weekly findings and the variances to goals, and present these finding in a review forum. Providing real-time customer experience by working in 24*7 operating environment. A day in the life About The Hiring Group Job responsibilities A day in the life About The Hiring Group Job responsibilities BASIC QUALIFICATIONS Bachelor’s degree 10-24 months of work experience. Good communication skills - Trans Ops Specialist will be facilitating flow of information between external teams Proficiency in Advanced Excel (pivot tables, vlookups) Demonstrated ability to work in a team in a very dynamic environment PREFERRED QUALIFICATIONS Logistics background and lean/six sigma training is a plus Proficient in SQL Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Uttar Pradesh - F26 Job ID: A3036848

DESCRIPTION TOC (Transportation Operation Center) is the central command and control center for ‘Transportation Execution’ across the Amazon Supply Chain network supporting multiple geographies like NA, India and EU. It ensures hassle free, timely pick-up and delivery of freight from vendors to Amazon fulfillment centers (FC) and from Amazon FCs to carrier hubs. In case of any exceptions, TOC steps in to resolve the issue and keeps all the stakeholders informed on the proceedings. Along with this tactical problem solving TOC is also charged with understanding trends in network exceptions and then automating processes or proposing process changes to streamline operations. This second aspect involves network monitoring and significant analysis of network data. Overall, TOC plays a critical role in ensuring the smooth functioning of Amazon transportation and thereby has a direct impact on Amazon’s ability to serve its customers on time. Purview of a Trans Ops Specialist A Trans Ops Specialist at TOC facilitates flow of information between different stakeholders (Trans Carriers/Hubs/Warehouses) and resolves any potential issues that impacts customer experience and business continuity. Trans Ops Specialist at TOC works across two verticals – Inbound and Outbound operations. Inbound Operations deals with Vendor/Carrier/FC relationship, ensuring that the freight is picked-up on time and is delivered at FC as per the given appointment. Trans Ops Specialist on Inbound addresses any potential issues occurring during the lifecycle of pick-up to delivery. Outbound Operations deals with FC/Carrier/Carrier Hub relationship, ensuring that the truck leaves the FC in order to delivery customer orders as per promise. Trans Ops Specialist on Outbound addresses any potential issues occurring during the lifecycle of freight leaving the FC and reaching customer premises. A Trans Ops Specialist provides timely resolution to the issue in hand by researching and querying internal tools and by taking real-time decisions. An ideal candidate should be able to understand the requirements/be able to analyze data and notice trends and be able to drive Customer Experience without compromising on time. The candidate should have the basic understanding of Logistics and should be able to communicate clearly in the written and oral form. Trans Ops Specialist should be able to ideate process improvements and should have the zeal to drive them to conclusion. Responsibilities Include, But Are Not Limited To: Communication with external customers (Carriers, Vendors/Suppliers) and internal customers (Retail, Finance, Software Support, Fulfillment Centers) Ability to pull data from numerous databases (using Excel, Access, SQL and/or other data management systems) and to perform ad hoc reporting and analysis as needed is a plus. Develop and/or understand performance metrics to assist with driving business results. Ability to scope out business and functional requirements for the Amazon technology teams who create and enhance the software systems and tools are used by TOC. Must be able to quickly understand the business impact of the trends and make decisions that make sense based on available data. Must be able to systematically escalate problems or variance in the information and data to the relevant owners and teams and follow through on the resolutions to ensure they are delivered. Work within various time constraints to meet critical business needs, while measuring and identifying activities performed. Excellent communication, both verbal and written as one may be required to create a narrative outlining weekly findings and the variances to goals, and present these finding in a review forum. Providing real-time customer experience by working in 24*7 operating environment. A day in the life About The Hiring Group Job responsibilities A day in the life About The Hiring Group Job responsibilities BASIC QUALIFICATIONS Bachelor’s degree 10-24 months of work experience. Good communication skills - Trans Ops Specialist will be facilitating flow of information between external teams Proficiency in Advanced Excel (pivot tables, vlookups) Demonstrated ability to work in a team in a very dynamic environment PREFERRED QUALIFICATIONS Logistics background and lean/six sigma training is a plus Proficient in SQL Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Uttar Pradesh - F26 Job ID: A3036848