1793 Data Mining Jobs - Page 9

As a Product Analyst at Landmark Digital, you will play a crucial role in championing data-driven decision-making for the digital function. Your responsibilities will include owning the Ecommerce KPIs of the squad, preparing, monitoring, and reporting them regularly to relevant teams. You will also be tasked with tracking and measuring the incremental value derived from every feature launched by the squad. Your role will involve proactively engaging with product owners to identify high-value impact items on the backlog through data-driven analysis. Additionally, you will interact with business stakeholders to troubleshoot data issues and collaborate with both business and technical teams for quick resolutions. You will lead hypothesis testing of business impact decisions, conduct AB tests for feature launches, and analyze and report their performance regularly. A key aspect of your role will be to deep dive into metrics and issues, present clear recommendations based on data discovery, and collate data from various sources to generate insights for different audience groups, ranging from senior management to tech teams. You will work closely with squads to address any data-related impediments and ensure smooth workflow. To be successful in this role, you should have at least 5+ years of experience in a Product Analyst role within the consumer goods ecommerce sector. You must possess a thorough understanding of customer journeys on ecommerce platforms and be adept at analyzing user funnels, dropouts, conversions, traffic, NPS, reviews, and ratings. Your track record should demonstrate the ability to drive value and influence key business metrics through data-informed product innovation. Proficiency in data analysis tools such as SQL, Big Query, MS Excel Advanced, and Power BI is essential. Experience in data mining, scripting with R/Python, and familiarity with data science and analytics platforms like SAS and Azure Data Bricks will be beneficial. Your communication skills should be top-notch, enabling you to effectively educate stakeholders and motivate them to act on your data-driven recommendations. As a part of the Landmark Digital team, you will work in a dynamic environment where collaboration, innovation, and continuous learning are encouraged. Your role will involve working with cross-functional teams, requiring excellent organizational, time management, analytical, and problem-solving skills. Attention to detail, the ability to prioritize tasks, and meet deadlines will be crucial for success in this position.,

The responsibilities you will be entrusted with in this role include increasing EMI Penetration in OEM by closely collaborating with OEM to enhance their counter share and market share. You will be required to engage with OEM HO and regional teams to establish a cordial relationship, understand business opportunities, challenges, and needs, and develop a trusting rapport. Utilizing your product knowledge, you will craft solutions for OEMs and articulate them clearly and practically. Data mining for market insights and directions to aid OEMs in enhancing their competitiveness will also be part of your duties. It is essential to stay abreast of market trends and competitor activities to share insights for product enhancement. Additionally, you are expected to adhere diligently to processes for implementing schemes, ensuring compliance with policies and procedures, completing necessary documentation, and providing sales management reports. The ideal candidate for this role should have experience in Front Line Retail Sales in Fintech, Banking/Financial Services/Electronics, with a preference for Key Account management and Solution Selling in IT, Quick-Commerce, E-Commerce, FMCG, FMCD, or Telecom sectors. While prior experience in Key Account management, Solution Selling, EMI Deals, or White goods sales is desirable, it is not mandatory. The desired years of experience for this position range from 4 to 8 years in an Individual Contributor capacity within a frontline sales role. In our team, we value individuals who exhibit the following characteristics: - **You take the Shot:** You are quick in decision-making and ensure accurate delivery. - **You are the CEO of what you do:** Demonstrating ownership and proactivity to drive results. - **You own tomorrow:** By creating solutions for merchants and consistently making the right choices. - **You sign your work like an artist:** Striving for continuous learning and taking pride in your contributions.,

You will be joining EXL, a leading operations management and analytics company dedicated to helping businesses thrive in competitive and disruptive environments. Through our innovative methodologies encompassing advanced analytics, data management, digital solutions, BPO, consulting, industry best practices, and cutting-edge technology platforms, we delve deep to support companies in enhancing global operations, fostering data-driven insights, improving customer satisfaction, and effectively managing risk and compliance. EXL caters to various industries such as insurance, healthcare, banking and financial services, utilities, travel, transportation, and logistics, with a team of over 30,000 professionals located across the United States, Europe, Asia (mainly India and the Philippines), Latin America, Australia, and South Africa. In the realm of EXL Analytics, we provide actionable solutions to business challenges through statistical data mining, advanced analytics techniques, and a consultative approach. By utilizing our proprietary methodology and top-tier technology, EXL Analytics adopts an industry-specific strategy to revolutionize clients" decision-making processes and embed analytics deeply into their business operations. Our team of nearly 2,000 data scientists and analysts worldwide support client organizations in diverse areas such as risk minimization, advanced marketing strategies, pricing and CRM techniques, internal cost analysis, and optimizing resources within the organization. EXL Analytics caters to industries like insurance, healthcare, banking, capital markets, utilities, retail and e-commerce, travel, transportation, and logistics. Your role will involve being a proficient credit risk model professional with expertise in model monitoring, validation, implementation, and maintenance of regulatory models. Some of your key responsibilities will include assisting in various aspects of model risk management in alignment with regulations, conducting essential tests such as model performance evaluations, sensitivity analyses, and back-testing, collaborating with the model governance team on model development and monitoring, liaising with cross-functional teams including business stakeholders, model validation, and governance teams, delivering high-quality client services encompassing model documentation within stipulated timeframes. To excel in this role, you should have a minimum of 2+ years of experience in executing end-to-end monitoring, validation, production, and implementation of credit risk models, particularly CCAR/CECL/IFRS9 regulatory models. You should possess a strong comprehension of credit risk regulatory models, along with expertise in marketing and general analytics problems. Your ability to manage assigned projects efficiently, ensuring accuracy and timely deliverables, as well as training, coaching, and developing team members, will be crucial for success. For qualifications, you should have prior analytics experience (2+ years), preferably in the BFSI sector, with a good understanding of General Analytics and Fraud Analytics. Past experience in roles involving problem-solving and strategic initiatives is advantageous. Proficiency in SAS/SAS macros, Python, or SQL is essential, while hands-on experience in R or any other analytical software would be a plus. Strong problem-solving skills will further enhance your suitability for this role.,

The Data Science Lead Analyst role at our organization requires you to be a strategic professional who remains updated with the latest developments in the field and contributes to the overall strategy by applying this knowledge to your job and the business. You are considered a recognized technical authority in a specific area within the business, with a basic understanding of commercial aspects. Your role involves providing guidance, influencing others, and making strategic recommendations based on data analysis. You will be responsible for conducting strategic data analysis, identifying insights, and making recommendations based on your findings. Additionally, you will develop data displays to effectively communicate complex analyses to stakeholders. Your responsibilities will include mining and analyzing data from various banking platforms to drive optimization and improve data quality. You will lead analytics initiatives to address business problems, determine necessary data, assess time and effort required, and establish project plans. Collaboration with business clients to identify system functional specifications and understanding how different areas integrate to achieve business goals will be a key aspect of your role. You will lead the system change process from requirements to implementation, providing support to business users. Furthermore, you will be involved in formulating systems scope and goals for complex projects, considering the business implications of technology applications, and driving communication between business leaders and IT. Conducting workflow analysis, business process modeling, developing use cases, test plans, and business rules will also be part of your responsibilities. You will work closely with cross-functional teams to analyze current processes, identify improvement opportunities, and develop target operation models. Documentation maintenance, training new and existing users, and communication of project status to stakeholders are also essential duties. As a Data Science Lead Analyst, you are expected to assess risks when making business decisions, ensuring compliance with laws, rules, and regulations, and safeguarding the organization's reputation and assets. Additionally, you will be responsible for developing strategies to reduce costs, manage risks, and enhance services. You must possess an MBA or an advanced degree in Information Systems, Business Analysis, or Computer Science, along with 6-10 years of experience using tools for statistical modeling of large data sets. Process improvement or project management experience is also required for this role. If you are a person with a disability and require accommodation to use our search tools or apply for a career opportunity, please review the Accessibility at Citi information. Please also refer to Citis EEO Policy Statement and the Know Your Rights poster for further details.,

As a Market Data Operations Analyst at Addepar, your primary responsibility will be ensuring that our clients have access to timely and accurate data to facilitate informed investment decisions. You will be part of the team that focuses on public markets Investment Data, which includes equities, bonds, funds, and derivatives. This data is utilized by our wealth management platform, serving over 1000 firms globally and impacting more than 100,000 users. Your daily tasks will involve conducting data quality validations on pricing, fundamental, and corporate action data. You will be expected to investigate and resolve exceptions related to various data assets, such as reference data, pricing data, corporate actions, fund data, and fx data. Additionally, you will research data quality issues, identify resolutions, and update systems as necessary. Your role will also entail exploring new datasets and analytics based on emerging data sources. Collaboration will be a key aspect of your role, as you will work closely with Product and Engineering teams to design, test, and implement new processes and tooling features aimed at enhancing data quality and operational efficiency. Moreover, you will be required to investigate and troubleshoot market data pipeline processing exceptions and collaborate with third-party vendors to address issues promptly. To excel in this role, you should possess a minimum of 2+ years of relevant work experience in the financial investment/advisory industry with a profound understanding of capital markets. Familiarity with asset reference data, corporate actions, pricing processes, and related technical skills such as proficiency in SQL queries is highly desirable. Excellent interpersonal skills, self-motivation, and the ability to work effectively in a global team setting are essential qualities we seek in potential candidates. Flexibility to work in various shifts and the willingness to work from our Pune office 3 days a week under a hybrid work model are also important aspects of this position. At Addepar, we value ownership, collaboration, client-centricity, innovation, and continuous learning. We are committed to fostering a diverse and inclusive workplace where individuals from varied backgrounds and identities come together to drive innovative solutions. As an equal opportunity employer, Addepar is dedicated to promoting an environment where inclusion and belonging are core principles that we all uphold together. We take the well-being and accommodation of our employees seriously. If you have a disability and require reasonable accommodation during the job application or interview process, or while performing essential job functions, please do not hesitate to contact us to request assistance. Please note that Addepar has been made aware of a phishing scam involving fraudulent individuals impersonating hiring managers from our company. We want to emphasize that all job offers from Addepar are made through a formal interview process, and we do not request individuals to purchase any equipment or supplies as part of the onboarding process. If you have any concerns or questions regarding job offers or communication from Addepar, please reach out to TAinfo@addepar.com for clarification.,

As a Data Engineer + Subject Matter Expert in Data Mining at Newton School of Technology, you will play a crucial role in revolutionizing technology education and empowering students to bridge the employability gap in the tech industry. You will have the opportunity to develop and deliver engaging lectures, mentor students, and contribute to the academic and research environment of the Computer Science Department. Your key responsibilities will include developing comprehensive lectures on "Data Mining", BigData, and Data Analytics courses, covering foundational concepts to advanced techniques. You will guide students on the complete data lifecycle, including preprocessing, cleaning, transformation, and feature engineering. Teaching a wide range of algorithms for Classification, Association rules mining, Clustering, and Anomaly Detections will be a part of your role. Moreover, you will design practical lab sessions, grade assessments, mentor students on projects, and stay updated with the latest advancements in data engineering and machine learning to ensure the curriculum remains cutting-edge. To excel in this role, you are required to have a Ph.D. or a Master's degree with significant industry experience in Computer Science, Data Science, Artificial Intelligence, or related fields. Your expertise in data engineering and machine learning concepts, proficiency in Python and its data science ecosystem, experience in teaching complex topics at the undergraduate level, and excellent communication skills are essential qualifications. Preferred qualifications include a record of academic publications, industry experience as a Data Scientist or in a similar role, familiarity with big data technologies and deep learning frameworks, and experience in mentoring student teams for data science competitions or hackathons. By joining Newton School of Technology, you will be offered competitive salary packages, access to advanced labs and facilities, and the opportunity to be part of a forward-thinking academic team shaping the future of tech education. If you are passionate about transforming technology education, empowering students, and staying at the forefront of data engineering and machine learning, we are excited about the possibility of you joining our team at Newton School of Technology. For more information about our university, please visit our website: Newton School of Technology.,

As a Reporting Analyst specializing in Power BI/Tableau, you will be responsible for managing all phases of the Reporting Life Cycle. This includes efficiently handling business requests, from their initial logging to final delivery into production. Your role will involve tasks such as specification, prioritization, development, and quality control to ensure a seamless process. Your strong analytical skills will be crucial in collecting, organizing, analyzing, and effectively disseminating significant amounts of information. Attention to detail and accuracy will be key as you work independently or as part of a team to design, develop, test, and implement dashboard reports. Collaboration with business and leadership teams is essential to ensure that the deliverables meet the requirements and quality standards. You will also be responsible for managing and coordinating software releases, overseeing the process from development and testing to deployment in production environments. To excel in this role, you must have 1-3 years of experience in developing dashboards and reports using Tableau or Power BI. Additionally, a strong background in SQL and database programming is necessary, with proficiency in SQL Server, MySQL, Oracle, or other relational databases. Your technical expertise should encompass data models, database design development, data mining, and segmentation techniques. Experience in performance tuning related to reporting queries will be highly advantageous for this position. Effective verbal and written communication skills are essential for successful collaboration with team members and stakeholders. If you are passionate about data analysis, reporting, and visualization, and possess the required technical skills and communication abilities, we encourage you to apply for this exciting opportunity.,

Job Details Position: Email Marketing Specialist (Data Extraction + Bulk Emailing) Job Mode: Work From Home Salary: Rs. 15,000 - Rs. 20,000 Per Month + Incentives Timings: 11 am to 8.30 pm (Monday to Friday) Week offs: Saturday & Sunday are fixed week offs Role & responsibilities We are seeking a highly motivated and detail-oriented Email Marketing Specialist to join our dynamic team. As a Email Marketing Specialist, you will play a crucial role in gathering, analyzing, and interpreting data to provide actionable insights that will drive our business growth. Your primary responsibility will be to conduct in-depth market research, identify potential leads, and run effective campaigns to support our sales and marketing efforts. Proficiency in using internet tools like Apollo.io, RocketReach, and other similar platforms is essential for success in this role. 1. Conduct In-Depth Market Research: Analyze market data and industry trends Identify potential leads and target markets 2. Lead Generation: Utilize tools like Apollo.io, RocketReach, LinkedIn & other resources to identify and qualify potential leads Build and maintain a high-quality lead pipeline 3. Campaign Management: Plan and execute marketing campaigns Monitor and optimize campaign performance 4. Data Analysis: Extract actionable insights from research data Provide reports and recommendations to support decision-making Preferred candidate profile 1-3 years of experience in Email Marketing/ Data extraction or a similar role. Proficiency in internet research and lead generation tools. Familiarity with CRM. Excellent verbal and written communication skills Strong organizational and time management abilities.

Jul 23, 2025 Location: Mumbai Designation: Associate Director Entity: Deloitte Shared Services India LLP Our potential, unleashed. India s impact on the global economy has increased at an exponential rate and Deloitte presents an opportunity to unleash and realize your potential amongst cutting edge leaders, and organisations shaping the future of the region, and indeed, the world beyond. At Deloitte, your whole self to work, every day. Combine that with our drive to propel with purpose and you have the perfect playground to collaborate, innovate, grow, and make an impact that matters. The team The Enabling Area Information Technology team is responsible for building & maintaining different applications for Deloitte South Asia that focuses on providing employee experience. Your work profile. Primary purpose of the role: The Associate Director of Dashboarding and Analytics will lead and drive the strategic direction of the organization s Dashboarding and Analytics functions. This senior leadership role is responsible for overseeing a high-performing team to deliver actionable insights, advanced analytics, and robust Dashboarding solutions that enable informed business decisions and support growth initiatives. The role requires a blend of strong leadership, technical expertise, and business acumen to influence stakeholders and shape data-driven strategies. Major responsibilities & deliverables: Lead and inspire a multidisciplinary team of Dashboarding analysts and BI professionals to deliver best-in-class analytics and Dashboarding services. Develop and execute the long-term strategy for Dashboarding and analytics aligned with organizational goals. Partner closely with senior leadership and business units to understand strategic priorities and translate them into analytics initiatives. Oversee the design, development, and deployment of scalable Dashboarding frameworks, dashboards, and data models. Drive adoption of advanced analytics techniques, including predictive modelling, data mining to enhance business insights. Ensure data integrity, governance, and security in all analytics activities and outputs. Manage resource planning, budgeting, and vendor relationships for analytics tools and platforms. Monitor key performance indicators (KPIs) and business metrics, providing regular insights and strategic recommendations to executive management. Champion a culture of data-driven decision-making and continuous improvement across the organization. Stay abreast of emerging technologies, industry trends, and best practices to innovate and optimize analytics capabilities. Skills, Experience & Qualification required: Bachelor s degree in Business Analytics, Computer Science, Statistics, or a related field; Master s degree or MBA preferred. Extensive experience (10+ years) in analytics and Dashboarding roles, with at least 3-5 years in a leadership capacity managing large teams. Proven track record of delivering complex analytics projects and driving business outcomes. Knowledge in BI tools (e.g., Tableau, Power BI), data engineering and SQL. Strong strategic thinking and problem-solving skills, with the ability to influence senior stakeholders. Excellent communication and interpersonal skills, capable of bridging technical and business discussions. Experience with data governance frameworks and compliance standards. Prior exposure to cloud data ecosystems (AWS, Azure, GCP) is advantageous. Location and way of working Base location: Mumbai Hybrid is our default way of working. How you ll grow Connect for impact Our exceptional team of professionals across the globe are solving some of the world s most complex business problems, as well as directly supporting our communities, the planet, and each other. Know more in our Global Impact Report and our India Impact Report . Empower to lead You can be a leader irrespective of your career level. Our colleagues are characterized by their ability to inspire, support, and provide opportunities for people to deliver their best and grow both as professionals and human beings. Know more about Deloitte and our One Young World partnership. Inclusion for all At Deloitte, people are valued and respected for who they are and are trusted to add value to their clients, teams and communities in a way that reflects their own unique capabilities. Know more about everyday steps that you can take to be more inclusive. At Deloitte, we believe in the unique skills, attitude and potential each and every one of us brings to the table to make an impact that matters. Drive your career At Deloitte, you are encouraged to take ownership of your career. We recognize there is no one size fits all career path, and global, cross-business mobility and up / re-skilling are all within the range of possibilities to shape a unique and fulfilling career. Know more about Life at Deloitte. Everyone s welcome entrust your happiness to us Our workspaces and initiatives are geared towards your 360-degree happiness. This includes specific needs you may have in terms of accessibility, flexibility, safety and security, and caregiving. Here s a glimpse of things that are in store for you. Interview tips We want job seekers exploring opportunities at Deloitte to feel prepared, confident, and comfortable. To help you with your interview, we suggest that you do your research, know some background about the organization and the business area you re applying to. Check out recruiting tips from Deloitte professionals.

The Role: Senior Analytics Specialist will work with the central analytics team at Razorpay. This will give you an opportunity to work in a fast-paced environment aimed at creating a very high impact and to work with a diverse team of smart and hardworking professionals from various backgrounds. Some of the responsibilities include working with large, complex data sets, developing strong business and product understanding and closely being involved in the product life cycle. Roles and Responsibilities: Work with large, complex data sets to solve open-ended, high-impact business problems using data mining, experimentation, statistical analysis, and machine learning as appropriate. Develop a deep understanding of the business and product to identify opportunities where GenAI and data-driven solutions can create impact; formulate hypotheses and validate them using rigorous analytical methods. Build and deploy modular, production-grade Python code to support use cases including prompt engineering, LLM-powered tools, and process automation using GenAI APIs. Design and optimize data pipelines and workflows to support both traditional analytics and GenAI model integrations. Apply strong problem-solving skills and first-principles thinking to independently scope and structure analytical solutions, integrating the latest in GenAI and ML where relevant. Drive automation and scalability of recurring insight generation, using GenAI or conventional approaches to reduce manual effort and enable self-serve insights where possible. Maintain high standards in project management, including clear scoping, timeline ownership, and proactive communication. Mandatory Qualifications: Bachelor s/Master s degree in Engineering, Economics, Finance, Mathematics, Statistics, Computer Science, or a related quantitative field. 3+ years of high-quality hands-on experience in analytics, data science, or ML-based product development. Proficiency in Python with experience writing modular, reusable code; prior experience integrating GenAI models via APIs (e.g., OpenAI, Claude, Gemini, etc.) and building LLM-powered applications. Hands-on experience with SQL and working with structured, semi-structured, and unstructured data. Experience designing or maintaining data pipelines and workflows (e.g., using Airflow, dbt, or equivalent). Experience applying A/B testing, significance testing, and both supervised and unsupervised ML techniques. Prior experience in consumer-tech or product-oriented organizations is a plus. Strong communication and storytelling skills with the ability to influence stakeholders through data and logic. Good to have: MLOps & Infrastructure: Build and maintain automated pipelines for model versioning and deployment (for example, using Datarobot, Airflow, Github). Responsible AI: Set up checks for bias, fairness, and harmful outputs in all LLM-powered features. Cloud & Scaling: Deploy and scale Python services on AWS (Lambda, ECS/EKS).

Amazon s Surface Transportation Operations team is seeking a highly skilled and motivated Supply Chain Manager to assist in the management of daily freight movements flowing into and out of our EU/NA fulfillment centers and our associated fulfillment network. People Manager role handing about 150 HC in a 24 X 7 shift Operations at HYD office (work from office only). The role involves managing daily Service Levels, driving KPI s apart from driving continuous improvement process and cost initiatives in the network. An ideal candidate should have a background in Supply chain/ transportation and excellent program management skills. He/she should have the ability to pull and analyze data with ease, drive process improvements, standardize our processes and eliminate the root cause of defects within the current systems. This job will require exceptional communication skills while having the ability to work independently in an ambiguous environment. The business operates within 24*7 shifts as well and hence the candidate should be flexible to adopt for day and night shifts/weekoffs. Responsibilities include, but are not limited to: Continual, tactical communication with external customers (Carriers, Vendors/Suppliers) and internal customers ( Finance, Tech, 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 Develop Key performance metrics to assist with driving business results. Lead initiatives to re-engineer business processes, and identify and eliminate root causes of defects in order to drive efficiency in Amazon s transportation operations. 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. Work within various time constraints to meet critical business needs. Excellent communication, both verbal and written as you will be required to create a narrative outlining your weekly findings and the variances to goals, and present these finding in a review forum. Propose improvements to our software and other tools for ease of use as well as efficacy. A day in the life About the team Bachelor s Degree in Business, Engineering, Operations, Supply Chain, Transportation Logistics, or related field 5+ years of experience in program management, logistics, operations, supply chain, or transportation Experience leading cross-functional programs Experience with data mining and data analysis Experience with advanced Microsoft Excel Experience with analytical tools such as SQL, Tableau or Microsoft Access Knowledge of Lean and Six Sigma methodologies Having work experience of 5+ years in people management will be preferred. MBA Proficiency in Lean and Six Sigma: Experience in manufacturing, transportation, customer service, and/or distribution environments. Possess excellent business judgment, strong written and oral communication skills, and a practical, common sense approach to getting things done Must be flexible to work all shifts as needed, as this team provides tactical support to Amazon s fulfillment network 24 hours/day 7 days/week; *Note-this position may require working weekends long term. Amazon is an Equal Opportunity Employer Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age

Type: Hybrid Job Description Who We Are: Fareportal is one of the leading sellers of airline tickets in the United States. We are a progressive company that leverages technology and expertise to deliver optimal solutions for our suppliers, customers, and partners. FAREPORTAL HIGHLIGHTS: Fareportal is the number 1 privately held online travel company in flight volume. Fareportal partners with over 600 airlines, 1 million lodgings, and hundreds of car rental companies worldwide. 2019 annual sales exceeded $5 billion. Fareportal sees over 150 million unique visitors annually to our desktop and mobile sites. Fareportal, with its global workforce of over 2,600 employees, is strategically positioned with 9 offices in 6 countries and headquartered in New York City. Role Overview: We are seeking a customer-centric, data-driven, and results oriented Senior Product Pricing Analyst. The primary focus is to analyze day to day business, understand customer behavior, look for opportunities to increase conversion, maximize revenue, and improve competitiveness. This role will help define and execute a roadmap based on business vision, market trends, customer feedback, and data science and business analytics. The right person will possess strong analytical skills and expertise in translating customer data to actionable insights. Previous experience in the travel industry with revenue management is a big plus, experience creating enterprise-level highly scalable platforms is key. The role is a challenging yet exciting opportunity to help create a highly scalable pricing platform to help millions of customers to book their perfect travel. Key Responsibilities: Apply your expertise in quantitative analysis, data mining, data visualization with a goal of improving customer experience and ROI with a religious focus on impactful analytics, steward product team to drive insights Own end to end test excellence in evaluating AB test and improve learning; Proactively see opportunities and recommend on new feature for test and learn; evaluating and applying alternative methods to supplement randomized testing Own metrics framework development for Air And Non Air Pricing product, build accurate and easy to consume dashboards/reports to key metrics, collaborate with product team in goal setting, product performance review and strategy planning. Take initiative to identify current and potential problems and recommend the best solution given the trade-offs. Enhance and automate Yield Management process in collaboration with tech team Create an integrated pricing tool that can improve customer experience and increase high RPT bookings based on dynamic changes in pricing on real time basis. Own Pricing Analytics for multiple portals and pricing as a product. Qualifications : 4+ years of work experience doing quantitative analysis to tackle business problems A bachelor s degree in at least one science, technology, engineering, or mathematics field Possessing a robust aptitude for analysis, demonstrated through the capacity to dissect complex business situations into their fundamental components Excellent communicator to tell stories with data Demonstrated expertise in analytics, utilizing a suite of data analysis tools including Excel, SQL, and advanced statistical programming languages such as R or Python to model complex business scenarios A solid grasp of statistics and hypothesis testing Experience applying visualization tools such as building PowerBI dashboards Curiosity and passion for making an impact along with strong attention to detail Experience in travel industry and revenue management is a plus Disclaimer This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Fareportal reserves the right to change the job duties, responsibilities, expectations or requirements posted here at any time at the Company s sole discretion, with or without notice. Bottom of Form Job Category: Analytics Job Type: Full Time Job Location: Gurgaon Type: Hybrid Job Description Who We Are: Fareportal is one of the leading sellers of airline tickets in the United States. We are a progressive company that leverages technology and expertise to deliver optimal solutions for our suppliers, customers, and partners. FAREPORTAL HIGHLIGHTS: Fareportal is the number 1 privately held online travel company in flight volume. Fareportal partners with over 600 airlines, 1 million lodgings, and hundreds of car rental companies worldwide. 2019 annual sales exceeded $5 billion. Fareportal sees over 150 million unique visitors annually to our desktop and mobile sites. Fareportal, with its global workforce of over 2,600 employees, is strategically positioned with 9 offices in 6 countries and headquartered in New York City. Role Overview: We are seeking a customer-centric, data-driven, and results oriented Senior Product Pricing Analyst. The primary focus is to analyze day to day business, understand customer behavior, look for opportunities to increase conversion, maximize revenue, and improve competitiveness. This role will help define and execute a roadmap based on business vision, market trends, customer feedback, and data science and business analytics. The right person will possess strong analytical skills and expertise in translating customer data to actionable insights. Previous experience in the travel industry with revenue management is a big plus, experience creating enterprise-level highly scalable platforms is key. The role is a challenging yet exciting opportunity to help create a highly scalable pricing platform to help millions of customers to book their perfect travel. Key Responsibilities: Apply your expertise in quantitative analysis, data mining, data visualization with a goal of improving customer experience and ROI with a religious focus on impactful analytics, steward product team to drive insights Own end to end test excellence in evaluating AB test and improve learning; Proactively see opportunities and recommend on new feature for test and learn; evaluating and applying alternative methods to supplement randomized testing Own metrics framework development for Air And Non Air Pricing product, build accurate and easy to consume dashboards/reports to key metrics, collaborate with product team in goal setting, product performance review and strategy planning. Take initiative to identify current and potential problems and recommend the best solution given the trade-offs. Enhance and automate Yield Management process in collaboration with tech team Create an integrated pricing tool that can improve customer experience and increase high RPT bookings based on dynamic changes in pricing on real time basis. Own Pricing Analytics for multiple portals and pricing as a product. Qualifications : 4+ years of work experience doing quantitative analysis to tackle business problems A bachelor s degree in at least one science, technology, engineering, or mathematics field Possessing a robust aptitude for analysis, demonstrated through the capacity to dissect complex business situations into their fundamental components Excellent communicator to tell stories with data Demonstrated expertise in analytics, utilizing a suite of data analysis tools including Excel, SQL, and advanced statistical programming languages such as R or Python to model complex business scenarios A solid grasp of statistics and hypothesis testing Experience applying visualization tools such as building PowerBI dashboards Curiosity and passion for making an impact along with strong attention to detail Experience in travel industry and revenue management is a plus Disclaimer This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Fareportal reserves the right to change the job duties, responsibilities, expectations or requirements posted here at any time at the Company s sole discretion, with or without notice. Bottom of Form Job Category: Analytics Job Type: Full Time Job Location: Gurgaon

About Netskope Since 2012, we have built the market-leading cloud security company and an award-winning culture powered by hundreds of employees spread across offices in Santa Clara, St. Louis, Bangalore, London, Paris, Melbourne, Taipei, and Tokyo. Our core values are openness, honesty, and transparency, and we purposely developed our open desk layouts and large meeting spaces to support and promote partnerships, collaboration, and teamwork. From catered lunches and office celebrations to employee recognition events and social professional groups such as the Awesome Women of Netskope (AWON), we strive to keep work fun, supportive and interactive. Visit us at Netskope Careers. Please follow us on LinkedIn and Twitter @Netskope . About the role: As a Sr. Staff Engineer on the Data Engineering Team you ll be working on some of the hardest problems in the field of Data, Cloud and Security with a mission to achieve the highest standards of customer success. You will be building blocks of technology that will define Netskope s future. You will leverage open source Technologies around OLAP, OLTP, Streaming, Big Data and ML models. You will help design, and build an end-to-end system to manage the data and infrastructure used to improve security insights for our global customer base. You will be part of a growing team of renowned industry experts in the exciting space of Data and Cloud Analytics Your contributions will have a major impact on our global customer-base and across the industry through our market-leading products You will solve complex, interesting challenges, and improve the depth and breadth of your technical and business skills. What you will be doing Conceiving and building services used by Netskope products to validate, transform, load and perform analytics of large amounts of data using distributed systems with cloud scale and reliability. Helping other teams architect their applications using services from the Data team while using best practices and sound designs. Evaluating many open source technologies to find the best fit for our needs, and contributing to some of them. Working with the Application Development and Product Management teams to scale their underlying services Providing easy-to-use analytics of usage patterns, anticipating capacity issues and helping with long term planning Learning about and designing large-scale, reliable enterprise services. Working with great people in a fun, collaborative environment. Creating scalable data mining and data analytics frameworks using cutting edge tools and techniques Required skills and experience 10+ years of industry experience building highly scalable distributed Data systems Programming experience in Scala, Python, Java or Golang Excellent data structure and algorithm skills Proven good development practices like automated testing, measuring code coverage. Proven experience developing complex Data Platforms and Solutions using Technologies like Spark, Kafka, Kubernetes, Iceberg, Trino, Big Query and other open source databases Experience designing and implementing large, fault-tolerant and distributed systems around columnar data stores. Excellent written and verbal communication skills Bonus points for contributions to the open source community Education B.tech or equivalent required, Masters or equivalent strongly preferred #LI-SK3

Amazon s Consumer Payments organization is seeking a highly quantitative, experienced Business Intelligence Engineer to drive the development of analytics and insights. You will succeed in this role if you are an organized self-starter who can learn new technologies quickly and excel in a fast-paced environment. In this position, you will be a key contributor and sparring partner, developing analytics and insights that global executive management teams and business leaders will use to define global strategies and deep dive businesses. Our team offers a unique opportunity to build a new set of analytical experiences from the ground up. You will be part the team that is focused on acquiring new merchants from around the world to payments around the world. The position is based in India but will interact with global leaders and teams in Europe, Japan, US, and other regions. You should be highly analytical, resourceful, customer focused, team oriented, and have an ability to work independently under time constraints to meet deadlines. You will be comfortable thinking big and diving deep. A proven track record in taking on end-to-end ownership and successfully delivering results in a fast-paced, dynamic business environment is strongly preferred. Partnering with engineering, product, business and finance teams to create key performance indicators and new methodologies for measurement Fluency in analytical communication to translate data into actionable insights for stakeholders both in and out of the team, create analytical insights to identify key priorities Proactively make and justify recommendations based on advanced statistical techniques, deep familiarity with the customer or developer experiences, as well as by cross-referencing multiple data sources and comparing against the wider industry Determine best-in-class performance reports and automate reporting for regular metrics, identify areas of opportunity to automate, scale ad-hoc analyses, build and inform BI tool improvements Providing requirements for telemetry and data structure to improve ability to extract data efficiently and provide the team insights faster A day in the life Analyze data and find insights to either drive strategic business decisions or to drive incremental signups or revenue. Define and develop business critical metrics and reports across all international business levers, key performance indicators, and financials. Own alignment and standardization of analytical initiatives across the global business teams Drive efforts across international business leaders, BI leaders and executive management across Europe, Asia and North America. Own key executive reports and metrics that are consumed by our VPs and Directors Provide thought leadership in global business deep dives across a variety of key performance indicators 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience in Statistical Analysis packages such as R, SAS and Matlab Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

Grade IResponsible for supporting the delivery of business analysis and consulting processes and procedures for the defined specialism using basic technical capabilities, developing working relationships to provide support with queries, issues and ad-hoc requests and assisting with quality assurance services. Specialisms: Business Analysis; Data Management and Data Science; Digital Innovation. Entity: Technology IT&S Group Responsible for delivering business analysis and consulting activities for the defined specialism using sophisticated technical capabilities, building and maintaining effective working relationships with a range of customers. Qualifications: Hands-on experience (typically approx. 3- 6 years) carrying out data analytics, data mining and product analytics in sophisticated, fast-paced environments. Applied knowledge of data analytics and data pipelining tools and approaches across all data lifecycle stages. Deep understanding of a few and a high-level understanding of several commonly available statistics approaches Advanced SQL knowledge Advanced scripting experience in R or python. Ability to write and maintain moderately complex data pipelines. Strong business insight. Bachelors / Masters or equivalent experience in a quantitative field, preferably statistics. Customer-centric and pragmatic approach. Focus on value delivery and swift execution, while maintaining attention to detail. Good communication and customer leadership skills. Ability to lead large organizations through influence! Continuous learning and improvement mentality. About bp Our purpose is to deliver energy to the world, today and tomorrow. For over 100 years, bp has focused on discovering, developing, and producing oil and gas in the nations where we operate. We are one of the few companies globally that can provide governments and customers with an integrated energy offering. Delivering our strategy sustainably is fundamental to achieving our ambition to be a net zero company by 2050 or sooner! Travel Requirement Up to 10% travel should be expected with this role Relocation Assistance: This role is eligible for relocation within country Remote Type: This position is a hybrid of office/remote working Skills:

Job Description Summary Role Summary / Purpose Based at GE Power Conversion Chennai site the Parts Engineerrole is an exciting opportunity for an action-oriented individual with technical foundation of Power Conversion equipment. You will be able to leverage your Power Conversion knowledge as a main point of contact to directly support quotes and sales conversion drive customer fulfillment while you collaborate across the globe with key functional teams and enhance your strategic business acumen. Essential Responsibilities Be responsible for the identification of project spare parts life-cycle status and replacement strategy in the Global Parts catalog within the Power Conversion Parts Organization. Communicate with customers to convert quote and order requests into deliverable applicable part(s) by researching drawings renewal parts books databases catalogs and other available sources for accurate product configuration. Proactively identify spares for past projects categorize spares by customer function criticality. Perform Project obsolescence studies Verify applicability and fit of critical customer requests to application. Communicate with engineering groups to improve internal record accuracy and document replacement strategies for obsolete parts. Provide support to internal and external customers in support of sales initiatives. Identify newly created part numbers and accurately complete part definition attributes in a timely manner. Maintain engineering part definition attributes required to process requests for parts. Contact qualified Vendors in order to identify/ or validate part definition life-cycle status price availability and replacement part if part is defined as obsolete. Collaborate across the business including Spares and Repairs Engineering Sourcing Order Management and Global Field Sales teams. Provide technical input pertaining to the part substitution / interchangeability process. Qualification/ Requirements Diploma or BachelorDegree from accredited college / university in Electrical Engineering or Electronic or Instrumentation Engineering. 0 - 5 years of relevant experience (5 - 10 years for Diploma holders) Technical knowledge on Industrial Drive systems (LV/MV) PLC Systems etc. Experience in design engineering field engineering manufacturing shop assembly or spares/ replacement parts involvement. Experience in O&G or offshore or Marine or Metal industry or Renewables Writing Reading and Verbal English Fluency required. Ability to read and write technical specifications. Ability to translate and interpret BOM into orders and parts. Excellence in Customer Service. Commercial awareness. Ability and willingness to travel as required. Desired Characteristics Prior experience with SAP or current ERP systems. Prior experience with Teamcenter or current PLM systems. Ability to read drawings and have familiarity with BOM structures. Aptitude with analytical tools (ex. Excel Access and PowerPoint); specific skills should include: data-miningpivot tables and data Manipulation. Strong problem solving skills. Strong attention to detail. Strong oral and written communication skills. Strong interpersonal and leadership skills. Cross functional ability to work on matrix environment and international team experience. Be able to work within a team environment. Demonstrated technical aptitude and business acumen. Relocation Assistance Provided: Yes

Payments has become a very active/hot area in the last couple of years, creating a strong demand for innovation. This will be a very exciting area in the next 5 to 10 years. Not only is VISA a leader in the payment industry and has been for a long time, but it is also quickly transitioning into a technology company that is fostering an environment for applying the latest technology to solve exciting problems in this area. For a payment system to work well, the risk techniques, performance, and scalability are critical. These techniques and systems can benefit from big data, data mining, artificial intelligence, machine learning, cloud computing, & many other advance technologies and in VISA, we have all of these. If you want to be in the exciting payment space, learn fast, and make big impacts, Distributed Risk Intelligence Platform team within Payment Security & Identity group VISA is an ideal place for you! This position is for a Senior Software Engineer with solid development experience who will focus on creating new capabilities for Risk Platform while maturing our code base and development processes. In this position, you will be a passionate and talented developer that can work in a dynamic environment as a member of Agile Scrum teams. Your strong technical leadership, problem-solving abilities, coding, testing and debugging skills is just a start. Essential Functions Collaborate with project team members (Product Managers, Architects, Analysts, Software Engineers, Project Managers, etc.) to ensure development and implementation of new data driven business solutions. Drive development effort End-to-End for on-time delivery of high-quality solutions that conform to requirements, conform to the architectural vision, and comply with all applicable standards. Responsibilities span all phases of solution development including: Collaborate with senior technical staff and PM to identify, document, plan contingency, track and manage risks and issues until all are resolved. Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager. Basic Qualifications 3+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience Preferred Qualifications 3 or more years of work experience with a Bachelor s Degree or more than 3 years o

Job Title: Data Analyst Purpose of the Position: This position involves performing feasibility and impact assessments, reviewing documentation to ensure conformity to methods, designs, and standards, and achieving economies of scale during the support phase. As a senior Business Analyst you will also be responsible for stakeholder communication, conducting primary and secondary research based on solution and project needs, supporting new solution design and other organizational initiatives, and collaborating with all stakeholders in a multi-disciplinary team environment to build consensus on various data and analytics projects. Work Location : Pune/ Nagpur/ Chennai/ Bangalore Type of Employment: Full time Key Result Areas and Activities: Data Analysis and Orchestration : Analyze data from various sources, create logical mappings using standard data dictionaries/business logic, and build SQL scripts to orchestrate data from source (Redshift) to target (Treasure Data - CDP). Stakeholder Engagement and Requirement Gathering : Engage with stakeholders to gather business requirements, particularly for data integration projects, ensuring clear communication and understanding. Communication and Team Collaboration : Demonstrate excellent communication skills and strong teamwork, contributing effectively to the team s success. Stakeholder Management : Manage relationships with stakeholders across different levels, departments, and geographical locations, ensuring effective liaison and coordination. Data Modelling and ETL Processes : Utilize excellent data modelling skills (including RDBMS concepts, normalization, dimensional modelling, star/snowflake schema) and possess sound knowledge of ETL/data warehousing processes and data orchestration. Must Have: Well versed/expert with Data Analysis using SQL. Experienced in building data orchestration SQL queries. Experience in working with business process & data engineering teams to understand & build ,Business logic, Data mapping as per the business logic, Building SQL orchestration scripts on top of logical data mapping. Ability to review systems and map business processes. Process and Data modelling. Supports data investigations RCA/bug analysis etc. Good To Have: Experience with Business and data analysis in Pharmaceutical/Biotech Industry. Good to have Knowledge / understanding of Treasure Data Customer Data Platform. Excellent Data Modelling skills (RDBMS concepts, Normalisation, dimensional modelling, star/snowflake schema etc). SAP or Workday knowledge and experience. Hands on knowledge with data querying, data analysis, data mining, reporting and analytics will be a plus . Qualifications: 3+ years of experience as core Data Analyst or Business Analyst focused on data integration/orchestration. Bachelor s degree in computer science, engineering, or related field (Master s degree is a plus). Demonstrated continued learning through one or more technical certifications or related methods. Qualities: Self-motivated and focused on delivering outcomes for a fast-growing team and firm. Able to communicate persuasively through speaking, writing, and client presentations . Able to work with teams and clients in different time zones. Research focused mindset

Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary . In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive datadriven decisionmaking. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Responsibilities Proficient in programming languages like R, Python, and database query languages like SQL, Hive, Pig is desirable. Familiarity with Scala, Java, or C++ is an added advantage. Proficient in Statistical modelling and Machine techniques such as time series forecasting, Reliability models, Markov Models, Stochastic models, Bayesian Modelling, Classification Models, Cluster Analysis, Neural Network, etc. Good exposure to deep learning and associated frameworks (PyTorch, TensorFlow, and Keras). Ability to perform preprocessing of structured and unstructured data Processing, cleansing, and validating the integrity of data to be used for analysis. Strong working experience with cloud platforms build, train, and deploy ML Models on Azure/AWS/GCP. Good working knowledge in distributed computing environments / big data platforms (Hadoop, Elasticsearch, etc.) as well as common database systems and value stores (SQL, Hive, HBase, etc.). Handon experience in the MLOps (Dockerization, REST APIs and the CI/CD/CT processes). Adaptation of foundation models/LLMs to address specific business challenges. Utilizing version control for maintaining codebase integrity and collaboration, fostering a collaborative and errorfree development environment. Design, deploy and manage promptbased models on LLMs for various NLP tasks. Build and maintain data pipelines and data processing workflows for prompt engineering on LLMs utilizing cloud services for scalability and efficiency. Familiarity with LLM orchestration and agentic AI libraries. Good understanding of business and ability to translate domain problems to data science problem. Ability to communicate effectively with both technical and nontechnical stakeholders. Mandatory skill sets Python, GenAI ,Machine learning, data science Preferred skill sets Data analysis, SQL, MLOPS Years of experience required 5+ Education qualification BE/B.Tech/MBA/MCA Education Degrees/Field of Study required Bachelor of Engineering, Bachelor of Technology, Master of Business Administration Degrees/Field of Study preferred Required Skills Data Science Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, DataDriven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline {+ 38 more} No

Lowe s is a FORTUNE 100 home imp rovement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, Lowe s operates over 1,700 home imp rovement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe s supports the communities it serves through programs focused on creating safe, affordable housing, imp roving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit Lowes.com. Lowe s India, the Global Capability Center of Lowe s Companies Inc., is a hub for driving our technology, business, analytics, and shared services strategy. Based in Bengaluru with over 4,500 associates, it powers innovations across omnichannel retail, AI/ML, enterprise architecture, supply chain, and customer experience. From supporting and launching homegrown solutions to fostering innovation through its Catalyze platform, Lowe s India plays a pivotal role in transforming home imp rovement retail while upholding strong commitment to social imp act and sustainability. For more information, visit Lowes India About the Team Inventory Replenishment team is responsible for executing inventory replenishment processes, performing data analysis and generating business reporting to ensure inventory flows smoothly within the network while maintaining the business KPIs like In-Stock, Processing Speed, Operational Efficiency , etc. as per business agreement. Job Summary: This role will be aligned to one Business Area and responsible for executing Inventory Management processes and contributes to the operational and strategic priorities to drive IR KPI improvements (In-stock% and TSPM%) which in turn drives improved sales and return on investment. This role requires to build good understanding of fulfillment systems and operational execution and also contributes to process improvement projects to support senior team members. Proactively participates and supports initiatives to manage key performance metrics, including root-cause analysis and solution recommendations to ensures order flow meets designated capacity constrains throughout the supply chain. Executes IR system and process exceptions exceptions such as no sourcing, failed load out of bounds, no cost, unit of measure, etc. by following SOPs and identifies improvement opportunities to become SME for the low complexity operational processes once attains steady state. Roles & Responsibilities: Core Responsibilities: Supports regular execution of inventory flow processes and operational reports to manage and maintain Inventory KPIs Executes Inventory Replenishment and Planning strategies to aid more value to business Executes and supports Inventory and Replenishment priorities like inventory troubleshooting and root cause analysis, purchase order management, trend analysis, key performance metrics monitoring to help manage inventory flows within capacity constraints Extract data, reporting and analysis to generate business insights Help and support Sr Analyst with data and information to complete assigned task Years of Experience: 1+ years of Inventory Management or Supply Chain operations experience required Education Qualification & Certifications Required Minimum Qualifications : Bachelor s Degree in Business, Supply Chain, Logistics, Industrial Engineering Or MBA or master s degree in Supply Chain preferred Skill Set Required Primary Skills (must have) Strong analytical skills Sense of urgency, critical thinking Understanding of retail distribution network Experience in Data mining and visualization tool such as SQL, MS Access, VBA and Excel Excellent writing and communication skills, including the ability to develop analytical documents for presentation to management

Remote Work: Hybrid Overview: At Zebra, we are a community of innovators who come together to create new ways of working to make everyday life better. United by curiosity and care, we develop dynamic solutions that anticipate our customer s and partner s needs and solve their challenges. Being a part of Zebra Nation means being seen, heard, valued, and respected. Drawing from our diverse perspectives, we collaborate to deliver on our purpose. Here you are a part of a team pushing boundaries to redefine the work of tomorrow for organizations, their employees, and those they serve. You have opportunities to learn and lead at a forward-thinking company, defining your path to a fulfilling career while channeling your skills toward causes that you care about locally and globally. We ve only begun reimaging the future for our people, our customers, and the world. Let s create tomorrow together. We are seeking a highly skilled and motivated Data Scientist (LLM Specialist) to join our AI/ML team. This role is ideal for an individual passionate about Large Language Models (LLMs) , workflow automation, and customer-centric AI solutions. You will be responsible for building robust ML pipelines , designing scalable workflows, interfacing with customers, and independently driving research and innovation in the evolving agentic AI space . Responsibilities: LLM Development & Optimization: Train, fine-tune, evaluate, and deploy Large Language Models (LLMs) for various customer-facing applications. Pipeline & Workflow Development: Build scalable machine learning workflows and pipelines that facilitate efficient data ingestion, model training, and deployment. Model Evaluation & Performance Tuning: Implement best-in-class evaluation metrics to assess model performance, optimize for efficiency, and mitigate biases in LLM applications. Customer Engagement: Collaborate closely with customers to understand their needs, design AI-driven solutions , and iterate on models to enhance user experiences. Research & Innovation: Stay updated on the latest developments in LLMs, agentic AI , reinforcement learning with human feedback (RLHF), and generative AI applications. Recommend novel approaches to improve AI-based solutions. Infrastructure & Deployment: Work with MLOps tools to streamline deployment and serve models efficiently using cloud-based or on-premise architectures, including Google Vertex AI for model training, deployment, and inference. Foundational Model Training: Experience working with open-weight foundational models , leveraging pre-trained architectures, fine-tuning on domain-specific datasets, and optimizing models for performance and cost-efficiency. Cross-Functional Collaboration: Partner with engineering, product, and design teams to integrate LLM-based solutions into customer products seamlessly. Ethical AI Practices: Ensure responsible AI development by addressing concerns related to bias, safety, security, and interpretability in LLMs. Programming Skills: Proficiency in Python and experience with ML frameworks like TensorFlow, PyTorch LLM Expertise: Hands-on experience in training, fine-tuning, and deploying LLMs (e.g., OpenAI s GPT, Meta s LLaMA, Mistral, or other transformer-based architectures). Foundational Model Knowledge: Strong understanding of open-weight LLM architectures , including training methodologies, fine-tuning techniques, hyperparameter optimization, and model distillation . Data Pipeline Development: Strong understanding of data engineering concepts , feature engineering, and workflow automation using Airflow or Kubeflow . Cloud & MLOps: Experience deploying ML models in cloud environments like AWS, GCP (Google Vertex AI), or Azure using Docker and Kubernetes . Model Serving & Optimization: Proficiency in model quantization, pruning, distillation, and knowledge distillation to improve deployment efficiency and scalability. Research & Problem-Solving: Ability to conduct independent research , explore novel solutions , and implement state-of-the-art ML techniques. Strong Communication Skills: Ability to translate technical concepts into actionable insights for non-technical stakeholders. Version Control & Collaboration: Proficiency in Git, CI/CD pipelines , and working in cross-functional teams . Qualifications: Bachelor s degree. Advanced degree-masters or PhD-strongly preferred in Statistics, Mathematics, Data / Computer Science or related discipline 2-5 years experience Statistics modeling and algorithms Machine Learning Experience-including deep learning and neural networks, genetics algorithm etc. Working knowledge Big Data-Hadoop, Cassandra,Spark R. Hands-on experience preferred Data Mining Data Visualization and visualization and analysis tools including R Work/Project experience in sensors, IoT, mobile industry highly preferred Excellent verbal and written communication Comfortable with presenting to senior management and CxO level executives Self motivated and self starter with high degree of work ethic To protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers, please be aware our recruiters will always connect with you via @zebra.com email accounts. Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system. Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system. If you are a victim of identity theft contact your local police department. ", "

Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role? Identify needs, opportunities, gaps, enhancements, and resolve user challenges within Business Conduct Monitoring Application (BCMA). Perform research and analysis of business process and products to identify where and how technical solutions and improvements may be developed Obtain and/or develop documentation and capture requirements that enable technical resources to determine how solutions and improvements may be implemented Perform user acceptance testing on new software solutions Monitor activities to meet deadlines and commitments relative to: monitoring end to end process, risk assessment, program documentation, testing plan, reporting, and action plans Utilize broad set of analytical tools/techniques for data mining, data cleansing, data extraction, analysis & transformation, data interpretation & insights, turn-key bundled analytic & reporting solutions Assess and validate application performance and integration of component systems and provide process flow diagrams. Assess and incorporate user story analysis and elaboration to optimize software solutions Participate in code reviews and automated testing Debug basic software components and identify code defects for remediation Support, and monitoring of software across test, integration, and production environments Critical Factors to Success Demonstrated willingness to take initiative and act decisively Creative mind that is not afraid of thinking differently to solve complex problems that have regulatory or compliance requirements Exhibits an exceptional degree of ingenuity, creativity and resourcefulness in ensuring that we are delivering on our customer promise Effectively works independently within a team construct, while supporting teamwork and achievement of team objectives Solid evidence of leadership with the capacity to quickly understand critical linkages and business strategies in a dynamic, ambiguous environment Ability to present complex information clearly to groups and individuals Excellent communication and relationship building skills Strong written and oral communication skills coupled with solid presentation skills. This includes the ability to take analyze large sets of data and concisely convey messages to leadership and peers Strong attention to detail and superior organizational and follow through skills Ability to operate in a complex environment and work on multiple projects at the same time Support business initiatives and foster positive relationships with the team and larger organization Provide exceptional thought leadership while working with business partners Obtain and/or develop documentation and capture requirements that enable technical resources to determine how solutions and improvements may be implemented Monitor activities to meet deadlines and commitments relative to: monitoring end to end process, risk assessment, program documentation, testing plan, reporting, and action plans Utilize broad set of analytical tools/techniques for data mining, data cleansing, data extraction, analysis & transformation, data interpretation & insights, analytic & reporting solutions Function as member of a development team by contributing to software builds through consistent development practices (tools, common components, and documentation) Qualifications: Bachelor s in Information Technology/Computer Science/Engineering and/or relevant work experience. 2 years of relevant work-related experience in driving agile development processes with a consistent record of strong performance 1+ years of programming experience with Java, C#, .NET, or Python Strong analytical skills and experience with reporting and ability to drive business insights from data and provide actionable steps 1+ years of experience with SAS/SQL coding in a business environment (standard SAS/SQL functions, monitoring jobs, reviewing log files, macros) is a plus Experience with Tableau/Power BI is a plus 1+ year of experience with Big Data, MS Excel for data reporting and modeling, Hive, LINUX, SQL, Python, and Splunk. Highly organized and self-motivated individual who can combine problem-resolution, and critical thinking to apply a business lens to design customer-obsessed solutions Advanced knowledge using computer software programs and tools including Word, Outlook, Visio, Access, Excel, PowerPoint, etc

Corporate: Light & Wonder s corporate team is comprised of incredible talent that works across the enterprise, defying boundaries to provide essential services in an extraordinary manner to ensure the success of the organization and the well-being of employees. Position Summary This position , an IC role provides critical administrative support to the Compensation and Benefits (C&B) team to ensure smooth processing and administering of C&B programs & initiatives. Assist Compensation CoE in administering annual compensation programs and projects including merit increase, bonus/ variable payout, job evaluation, total rewards statements, etc. Act as a trusted advisor by partnering with Talent Acquisition and People Business Partners on compensation matters, conducting benchmarking analysis, and recommending compensation packages for new and existing roles. Assist in creating, applying, and maintaining market ranges by participating in and/or conducting salary surveys, perform survey job matching, and conduct ad-hoc benchmarking and market research as needed. Reviews existing and proposed statutory requirements governing compensation administration and recommends appropriate courses of action. May prepare special studies and recommendations on subjects such as incentive compensation, bonus plans, sales compensation or stock options. Reviews proposed salary adjustments for conformance to established guidelines, policies and practices . Assist in evaluating jobs, job descriptions and job architecture. Perform regular audits of the compensation data to verify accuracy and ensure consistent application of roles and market ranges. Actively conduct data analysis, data modeling and reporting; interpret results, present findings and recommend changes as needed. Actively contribute to building new reports, trackers, and databases related to compensation. Conduct market analysis to assess and update salary ranges. Perform financial modeling and cost analysis for current and proposed total rewards programs and initiatives. Accountable f or all C&B data for India and support for APAC. Liaises between the vendor & internal stakeholders to ensure smooth operations . Prepares C&B reports and trackers with accurate and up-to-date information to enable decision - making at a regular cadence. Assists in benefits programs review and administration to align with the Company s rewards philosophy and local legislative requirement s . Tracks market intelligence/trends and conducts in-depth analysis to generate insights in an ongoing basis. Provides C&B advice on queries from business leaders and HR teams. Assists in ad hoc C&B projects and BAU and analysis globally and regionally as assigned. Support in administering the Reward & Recognition Program Ensuring on-time delivery of data and approvals by comp on WD. Qualifications Must have experience of 5+ years in handling compensation and benefits in prior roles. Must be familiar with standard concepts, practices, and procedures in the compensation field. Strong analytical and quantitative skills; Excellent attention to details. Excellent organization and time management skills. Work with moderate degree of supervision and autonomously within established procedures and practices. Self-motivated, team player with can do attitude . Exceptional skills in Microsoft Excel, data mining, report creation and power point. Prior workday experience. A bility to handle confidential and sensitive compensation and employee information with complete discretion. Advanced skills in Excel/Google Sheets and Tableau, PowerBI, or other analytics tools . Experience working for a global organization across multiple time zone

Job Title: Lead Business Analyst Job Code: 10748 Country: IN City: Mumbai Skill Category: IT\Technology Description: Department Overview Global Markets Technology builds and maintains software solutions used by Global Markets Front and Middle office businesses. The business is spread across EMEA, US, Japan, AEJ, and emerging Markets like India, Brazil, and China. It deals in wide range of products including FX, Rates, Credit, Securitized Products, Equities, Futures & Options, FI/EQ Derivatives, and Prime Services including financing. The Trade Processing Derivatives and Lifecycle Management team encompassing multiple applications across the FIC (Fixed Income and Currencies) supporting the global trading platforms for trade capture and lifecycle management. The candidate will work in a very collaborative global team to deliver strategic change, enhancements, as well as support to maintain these critical Front Office systems. The team is front office focussed but has stakeholders in Sales, Traders, Finance, Risk, Operations, Regulatory, etc. Due to the core nature of the system, is often central to large firmwide initiatives. The candidate will work very closely in the regulatory reporting aspects of these systems. Department Overview Role Overview The successful candidate will join the Trade Processing Derivatives and Lifecycle Management team, which manages multiple applications across Fixed Income and Currencies (FIC) supporting global trading platforms for trade capture and lifecycle management. This front officefocused role involves collaboration with a global team to deliver strategic changes and system enhancements while maintaining critical front office systems. Candidate will be part of the global BA team in the trade processing stream. The position interfaces with diverse stakeholders including regulatory, front office, middle office and various other teach teams. Role & Responsibilities Requirement gathering, documentation, planning, implementation and release management Analysis, data mining, data extraction, investigation of production queries and user queries QA/UAT testing, working with QA team and regulatory operations team to ensure releases are well tested, seeking sign off from impacted systems Owning and improving functional and regression test pack Work closely with dev and QA team in putting together automation Work closely with global dev, qa and support teams Work closely with regulatory operations, front office, and crossfunctional IT teams Participate in firmwide strategic initiatives Support and enhance regulatory reporting frameworks Skill Set Essential: A committed team player who possesses strong analytical and problem solving skills along with good written and verbal communication skills. Able to work with people across different departments, countries and regions. Good communication skills (clear and concise). On the feet thinker who can quickly investigate and troubleshoot, if required, production related queries from various stakeholders. Ability to think logically and systematically to devise solutions that conforms to already existing system framework. Ability to exhibit high level of professionalism in team oriented environment. Technical: Good understanding of SQL and relational databases. Good understanding of SDLC and testing practices MS Excel ability to write and understand excel functions, macros and perform lookups Knowledge of basic UNIX commands Basic programming knowledge with handson experience in test automation Domain Exposure to finance domain, capital markets, FX, Rates FX business experience, comfortable with key business concepts. Risk or pricing experience. Nomura Leadership Behaviours: Leadership Behaviours Description Element Exploring Insights & Vision Comprehensively analyse the nature of the problems we face and set our focus toward the future vision Gather Intelligence Create a vision Identify an issue Making Strategic Decisions Analyse options and feasibility to resolve issues, in making judgments and recommendations Identify countermeasures Assess feasibility Make a judgment Inspiring Entrepreneurship in People Promotes the vision and goals to others in such a way that inspires commitment and independent contributions Influence Inspire Commit Elevating Organizational Capacity Maximize organizational productivity through leadership development and engagement Have an ownership in own development Support other s growth Encourage organizational growth Inclusion Respect diverse perspectives and promote psychological safety and the creation of a risk culture Foster psychological safety Encourage the active participation of all talent Foster a risk culture We are committed to providing equal opportunities throughout employment including in the recruitment, training and development of employees. We prohibit discrimination in the workplace whether on grounds of gender, marital or domestic partnership status, pregnancy, carer s responsibilities, sexual orientation, gender identity, gender expression, race, color, national or ethnic origins, religious belief, disability or age. *Applying for this role does not amount to a job offer or create an obligation on Nomura to provide a job offer. The expression "Nomura" refers to Nomura Services India Private Limited together with its affiliates.

Responsibilities: * Lead generation through data mining & marketing strategies * Manage sales team performance & results * Oversee web & app development projects * Drive business growth through new client acquisition