3825 Data Quality Jobs - Page 38

MSCI ESG Data collection team is involved in acquisition of ESG data at scale and QA of the collected data and responsible for establishing and maintaining highest level of data quality and standards across all datasets feeding our ESG products. As an Data Collection Transformation Senior Associate, you will be responsible for leading and delivering on several initiatives as part of the ESG transformation agenda, to support rapidly evolving ESG landscape and its adoption in the financial market. Your Key Responsibilities As a member of MSCI Data Acquisition and Collection team, you are expected to have a strong interest in general Environment, Social, Governance, Climate and policy frameworks around these domains as well as regulatory trends Take active part in projects dealing with electronification of ESG & Climate frameworks and principles into data definitions which can be operationalized for collection Collaborate with Research teams on building data collection templates and with technology teams to translate these into implementable data models Do hands-on research with new data sets by studying company disclosures to help connect research proposals with implementable solution which are scalable Independently run analysis on data sets (either collected or from third party) to detect trends/patterns (EDA) and propose ways to build anomaly detection on new and existing content Analyze & research the historical data corrections across all ESG & Climate data and propose & implement contextual/thematic QA to detect cases that potentially may not be captured in current QA framework Codify data definitions with an intent to build NLP driven data extraction models (leveraging Traditional approaches/LLMs) to automate detection and extraction of Facts from company disclosures Help design and set-up new data collection processes and help with integration of these processes with ongoing data operations Deliver top quality data aligned with MSCI methodology, service level agreements, and regulatory requirements; Steer to improve methodology and SOP documents leveraging data and content expertise; Drive process improvements to ensure consistent data quality and efficiency, such as automation of data quality diagnostics by developing a new system/tool that will enable quality assessment of data without manual intervention; Contribute to process improvements to ensure consistent data quality and efficiency, such as automation of data quality diagnostics by developing a new system/tool which will enable quality assessment of data without manual intervention; Work with internal stakeholders and downstream teams on understanding data requirement, data QC scope and data delivery; Create reports/dashboards which provide quantitative data assessment metrics which justify recommendations. Visualization, outlier detection/analysis, data summaries, etc. Sharing plans, recommendations, summaries with management through conference calls, meetings and presentations with internal/external teams, Research and product Your skills and experience that will help you excel Analytical skills and has strong attention to details - Should have keen interest in analyzing data, process flows and quality focused Exposure of using tools such as Python/SQL etc. - Demonstrated experience in improving process/Automation through applications of Python/ML/RPA Work exposure with any of the visualization tools such as PowerBI would be preferable. Should have very good hands on skills working with advanced excel features. Self-starter and self-motivated, should be solutions focused and have the ability to work in unstructured environments Comfortable working in a team environment across hierarchies, functions and geographies Should have experience of working in Financial/technology/Business Analysis domain Knowledge about equities or financial markets in general. Exposure to ESG data would be added advantage Desired Experience 7+ years of full-time professional experience in: Experience in data quality and automation related roles, Business analysis, analyzing existing process and reengineer to achieve efficiency and improved quality, Exposure of using tools such as Pandas/SQL, Power BI etc. would be preferable Financial services experience; good to have exposure to ESG About MSCI What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women s Leadership Forum. . MSCI Inc. is an equal opportunity employer committed to diversifying its workforce. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for . Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agencies . Note on recruitment scams

Sr. Engineer-Vehicle Data Governance Location: Bangalore, IN, 562122 Position Type: Professional Who we are The Vehicle Data Management and Analytics group is looking for a new member in the area of diagnostics and technical documentation. We are part of the Vehicle Data & AI team within Vehicle Technology at Volvo Group Trucks Technology. What will you do You will work within the SEWS (System Engineering Web Service) Approval Board team. The work will involve technical reviews, user support and maintenance of process documentation related to the diagnostic area and the approval process. Typical focus areas are the documentation of diagnostic objects like parameters, on-vehicle tests, and Diagnostic Trouble Codes (DTC). Our team supports all business areas within Volvo Group in this area. Our aim is to ensure good data documentation quality that is accurate and easily understood as well as easy to maintain. This is done to safeguard excellent diagnostics and data quality within the Volvo Group. Core responsibilities Perform technical reviews and suggest updates (texts and setup) Support our users through the review process Support in upholding data quality Create, maintain and improve guidelines Continuously drive process and system improvements as a key user Develop and hold training sessions for users Coordinate and follow up with various stakeholders Required skills Minimum 5 years of experience within the automotive industry Excellent technical English language skills Excellent technical documentation/writing skills Excellent social and communication skills Good understanding of embedded software development process Good insights in automotive diagnostics and communication protocols Be structured and have good organizational skills Have a get-it-done attitude but still have a focus on delivering quality Must be able to work both individually and within a team Preferred skills and experiences B.E. in areas like Mechatronics, Electronics Engineering or similar Automotive industry product knowledge Experience within Volvo Group Trucks Technology will be an advantage Experience of working with Jira and Agile Process Have a pedagogical approach Have experience from ESW (Embedded Software) development and process will be an advantage We value your data privacy and therefore do not accept applications via mail. Who we are and what we believe in We are committed to shaping the future landscape of efficient, safe, and sustainable transport solutions. Fulfilling our mission creates countless career opportunities for talents across the group s leading brands and entities. Applying to this job offers you the opportunity to join Volvo Group . Every day, you will be working with some of the sharpest and most creative brains in our field to be able to leave our society in better shape for the next generation. We are passionate about what we do, and we thrive on teamwork. We are almost 100,000 people united around the world by a culture of care, inclusiveness, and empowerment. Group Trucks Technology are seeking talents to help design sustainable transportation solutions for the future. As part of our team, you ll help us by engineering exciting next-gen technologies and contribute to projects that determine new, sustainable solutions. Bring your love of developing systems, working collaboratively, and your advanced skills to a place where you can make an impact. Join our design shift that leaves society in good shape for the next generation. Job Category: Technology Engineering Organization: Group Trucks Technology Travel Required: Occasional Travel Requisition ID: 22187 View All Jobs Do we share the same aspirations? Every day, Volvo Group products and services ensure that people have food on the table, children arrive safely at school and roads and buildings can be constructed. Looking ahead, we are committed to driving the transition to sustainable and safe transport, mobility and infrastructure solutions toward a net-zero society. Joining Volvo Group, you will work with some of the world s most iconic brands and be part of a global and leading industrial company that is harnessing automated driving, electromobility and connectivity. Our people are passionate about what they do, they aim for high performance and thrive on teamwork and learning. Everyday life at Volvo is defined by a climate of support, care and mutual respect. If you aspire to grow and make an impact, join us on our journey to create a better and more resilient society for the coming generations.

. Responsible for planning and designing new software and web applications. Analyzes, tests and assists with the integration of new applications. Oversees the documentation of all development activity. Trains non-technical personnel. Assists with tracking performance metrics. Integrates knowledge of business and functional priorities. Acts as a key contributor in a complex and crucial environment. May lead teams or projects and shares expertise. Job Description Key Skills: Advanced SQL ( Mysql, Presto, Oracle etc) Data Modeling (Normalization and Denormilation) ETL Tools (Talend, Pentaho, Informatica and Creation of Custom ETL Scripts) Big Data Technologies (Hadoop, Spark, Hive, Kafka etc) Data Warehousing (AWS, Big Query etc) Reporting (Tableau, Power BI) Core Responsibilities: Data focused role would be expected to leverage these skills to design and implement robust data solutions. They would also play a key role in mentoring junior team members and ensuring the quality and efficiency of data processes. Skills in data visualization tools like Tableau and Power BI. Good to have Data Quality principles Collaborates with project stakeholders to identify product and technical requirements. Conducts analysis to determine integration needs. Designs new software and web applications, supports applications under development and customizes current applications. Develops software update process for existing applications. Assists in the roll-out of software releases. Trains junior Software Development Engineers on internally developed software applications. Oversees the researching, writing and editing of documentation and technical requirements, including evaluation plans, test results, technical manuals and formal recommendations and reports. Keeps current with technological developments within the industry. Monitors and evaluates competitive applications and products. Reviews literature, patents and current practices relevant to the solution of assigned projects. Provides technical leadership throughout the design process and guidance with regards to practices, procedures and techniques. Serves as a guide and mentor for junior level Software Development Engineers. Assists in tracking and evaluating performance metrics. Ensures team delivers software on time, to specification and within budget. Works with Quality Assurance team to determine if applications fit specification and technical requirements. Displays expertise in knowledge of engineering methodologies, concepts and skills and their application in the area of specified engineering specialty. Displays expertise in process design and redesign skills. Presents and defends architectural, design and technical choices to internal audiences. Consistent exercise of independent judgment and discretion in matters of significance. Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) and overtime as necessary. Other duties and responsibilities as assigned. Employees at all levels are expected to: Understand our Operating Principles; make them the guidelines for how you do your job. Own the customer experience - think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services. Know your stuff - be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences. Win as a team - make big things happen by working together and being open to new ideas. Be an active part of the Net Promoter System - a way of working that brings more employee and customer feedback into the company - by joining huddles, making call backs and helping us elevate opportunities to do better for our customers. Drive results and growth. Respect and promote inclusion & diversity. Do whats right for each other, our customers, investors and our communities. Disclaimer: This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. Thats why we provide an array of options, expert guidance and always-on tools that are personalized to meet the needs of your reality to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the benefits summary on our careers site for more details. Education Bachelors Degree While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience. Certifications (if applicable) Relevant Work Experience 7-10 Years Comcast is proud to be an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.

Position: Sr. MIS Executive Location: Bangalore Role Overview We are seeking a seasoned and detail-oriented Sr. MIS Executive to lead our data reporting and analytics function. This role is critical in transforming operational data into actionable insights that support strategic business decisions. The ideal candidate will bring a strong analytical mindset, technical expertise, and leadership capabilities to manage data systems, reporting processes, and a team of MIS professionals. Key Responsibilities Oversee the collection, validation, and analysis of operational data to ensure accuracy and timely reporting Design and deliver dashboards, reports, and presentations that translate complex data into clear business insights Build and maintain scalable databases and data systems to support efficient data retrieval and reporting Collaborate with cross-functional teams to understand data requirements and deliver tailored analytics solutions Conduct regular data quality checks to ensure integrity, consistency, and reliability Identify trends, patterns, and anomalies to support strategic decision-making Lead and mentor a team of MIS analysts, ensuring effective task delegation, performance tracking, and skill development Required Skills & Qualifications Minimum 5 years of experience in MIS, Data Analytics, or a similar role Certification from Rahul Jain s BCI program Current residency in Mumbai Advanced proficiency in Microsoft Excel (including pivot tables, VLOOKUP, conditional formatting, and data validation) Strong command of SQL and experience with relational databases Proven expertise in Google Apps Script and Looker Studio for automation and dashboard creation Demonstrated experience in automating reports and building interactive dashboards Familiarity with enterprise systems such as FMS (Fleet Management Systems), IMS (Inventory Management Systems), and PMS (Project Management Systems) Strong analytical and problem-solving skills with keen attention to detail Ability to manage multiple priorities and collaborate effectively across teams Preferred Qualifications Familiarity with Tableau, Power BI, or other data visualization tools Experience with spreadsheet automation and macros Background in the tech sector or high-volume data environments Solid foundation in mathematics or statistics What We Offer A dynamic and innovation-driven work culture Opportunities for professional growth, learning, and career advancement A collaborative team environment that values diverse perspectives and continuous improvement

The primary expectation for this role as a Linguist for the linguistics team is proficiency in Italian, enabling you to effectively manage, develop, and optimize linguistic resources. Your role will be to foster this language and develop them for a multitude of products delivered to customers. Your job will be to build and maintain these languages per our Lightcast standards and help in the development of further features. To fill this role we are looking for a dynamic and multilingual person that will quickly learn the ins and outs of the role in order to become an active part of a multicultural team. Major Responsibilities: Analyze and improve data quality of multilingual text classifiers Translate various taxonomies such as Skills, Titles, and Occupations. Annotate data used for model training and validation Education and Experience: Bachelor s degree in Linguistics, Data Analytics, Engineering, Computer Science, Statistics, Artificial Intelligence, NLP or similar. Strong linguistics knowledge Skills/Abilities: Understanding of syntax and structural analysis of languages Microsoft Excel experience (including vlookups, data cleanup, and functions) Experience with data analysis using tools such as Excel Knowledge of RegEx is preferred Lightcast is a global leader in labor market insights with headquarters in Moscow (ID) with offices in the United Kingdom, Europe, and India. We work with partners across six continents to help drive economic prosperity and mobility by providing the insights needed to build and develop our people, our institutions and companies, and our communities.

You are a strategic thinker passionate about driving solutions in financial analysis. You have found the right team. As a Planning and Analysis Associate within the Financial Planning and Analysis (FP&A) team, you will collaborate across the firm to deliver financial and strategic analysis, oversee budgeting and forecasting, and ensure coordination. You will engage in a variety of activities, including financial control, forecasting, budgeting, and analyzing financial/business metrics. Your role involves delivering management reports on a weekly, monthly, and quarterly basis, developing new reporting capabilities such as dashboards, and advising line of business CFOs on strategies to enhance profitability and efficiency. You will be tasked with analyzing, preparing, and reconciling accounting and technical data, as well as preparing reports, while continuously seeking ways to streamline processes and reduce cycle times through automation and process improvement. Additionally, you will contribute to developing recommendations that impact business procedures and operations, maintain financial and reporting systems, and support the department and team members with special projects or components of other projects as needed. Job Responsibilities Managing annual/continual financial planning activities for product areas, providing business rationale and decisions for all month-end financial performance and forecasting, conducting reviews and analysis on product financial performance, consumption/demand planning, budgeting, billing, trends, and exception reports Drive efficiency reporting, analytics, and strategy, including but not limited to location strategy, span of control, reporting, and analytic Reporting on and monitoring key metrics, driving data quality initiatives across the product area, and helping define future needs of the product area Developing and tracking performance metrics, creating presentations, and generally providing financial analysis on a variety of topics to senior management Performing variance analysis to understand the key drivers of the results and presenting commentary to senior managers, explaining changes from prior forecasts/budgets Helping design new reports and dashboards to efficiently deliver the financial results to senior management Enhancing controls and streamlining processes, introducing automation where possible Required qualifications, capabilities, and skills 6 + years of finance and/or accounting experience Bachelor s degree in Finance is required Ability to work in a high-paced environment, be flexible, follow tight deadlines, organize, and prioritize work Highly proficient with Microsoft Office suite (emphasis on PowerPoint and Excel) Strong interpersonal skills and ability to work across a highly matrixed cross functional organization Ability to communicate to leadership in a concise and effective manner both verbally and written Be a team player who shows commitment and dedication while maintaining a positive attitude and high level of performance on time-sensitive initiatives Preferred qualifications, capabilities, and skills Knowledge of SQL and Alteryx is a plus You are a strategic thinker passionate about driving solutions in financial analysis. You have found the right team. As a Planning and Analysis Associate within the Financial Planning and Analysis (FP&A) team, you will collaborate across the firm to deliver financial and strategic analysis, oversee budgeting and forecasting, and ensure coordination. You will engage in a variety of activities, including financial control, forecasting, budgeting, and analyzing financial/business metrics. Your role involves delivering management reports on a weekly, monthly, and quarterly basis, developing new reporting capabilities such as dashboards, and advising line of business CFOs on strategies to enhance profitability and efficiency. You will be tasked with analyzing, preparing, and reconciling accounting and technical data, as well as preparing reports, while continuously seeking ways to streamline processes and reduce cycle times through automation and process improvement. Additionally, you will contribute to developing recommendations that impact business procedures and operations, maintain financial and reporting systems, and support the department and team members with special projects or components of other projects as needed. Job Responsibilities Managing annual/continual financial planning activities for product areas, providing business rationale and decisions for all month-end financial performance and forecasting, conducting reviews and analysis on product financial performance, consumption/demand planning, budgeting, billing, trends, and exception reports Drive efficiency reporting, analytics, and strategy, including but not limited to location strategy, span of control, reporting, and analytic Reporting on and monitoring key metrics, driving data quality initiatives across the product area, and helping define future needs of the product area Developing and tracking performance metrics, creating presentations, and generally providing financial analysis on a variety of topics to senior management Performing variance analysis to understand the key drivers of the results and presenting commentary to senior managers, explaining changes from prior forecasts/budgets Helping design new reports and dashboards to efficiently deliver the financial results to senior management Enhancing controls and streamlining processes, introducing automation where possible Required qualifications, capabilities, and skills 6 + years of finance and/or accounting experience Bachelor s degree in Finance is required Ability to work in a high-paced environment, be flexible, follow tight deadlines, organize, and prioritize work Highly proficient with Microsoft Office suite (emphasis on PowerPoint and Excel) Strong interpersonal skills and ability to work across a highly matrixed cross functional organization Ability to communicate to leadership in a concise and effective manner both verbally and written Be a team player who shows commitment and dedication while maintaining a positive attitude and high level of performance on time-sensitive initiatives Preferred qualifications, capabilities, and skills Knowledge of SQL and Alteryx is a plus

Role Purpose: This is a critical role within ERP architecture function focusing on overall master data including Business Partner (Customer & Vendor data), Finance, Material, etc. As the global custodian of Enterprise master data architecture, the role holder will drive data integrity and consistency across the organization. They will collaborate closely with senior stakeholders, IT, Integration teams, and the Digital Transformation group to assess and manage changes to master data architecture. This role requires a strategic mindset to anticipate the impact of data modifications on various business processes and systems. The successful candidate will play a crucial part in ensuring overall enterprise data architecture, data quality, compliance and ultimately supporting informed decision-making and business growth. Accountabilities: Lead the data architecture design across multiple SAP products and instances along with non-SAP systems. Define data governance strategies, master data management (MDG), and metadata standards. Provide Leadership for execution of programs using these documented strategies. Architect data migration strategies for SAP S/4HANA projects and major programs, including ETL, data validation, and reconciliation. Develop data models (conceptual, logical, and physical) aligned with business and technical requirements. Collaborate with functional and technical teams to ensure master data flow across SAP and non-SAP platforms. Establish data quality frameworks and monitoring practices. Drive the adoption of the frameworks with the Owning teams. Lead the orchestration of Data for usage in AI frameworks and visualisation platforms. Work with integration team to implement/optimize integration solutions to connect SAP/Non-SAP systems and ensure seamless master data flow. Exposure working and evaluating new technologies to improve master data quality and architecture. Exposure working on various compliance / regulations like SOX, GDPR and others. Exposure working on MDM / MDG implementation as data / enterprise architect. Familiar with new MDG cloud / AI based services. Ability to lead and influence stakeholders to drive data related initiatives. Exposure working on various data frameworks like TOGAF, DAMA and Zachman. Identify existing master data tools (including third party tools like DnB, Address Doctor) and exploit to its full potential. Ability to convert and design complex business requirements. Experience managing business escalation. Exposure managing mergers and acquisitions and making sure data strategy is aligned with Syngenta architecture. Commitment to staying current with evolving technologies and industry best practices. Willingness to acquire new skills and knowledge as required by this role. Self-motivated with the ability to work independently and take initiative. Required Capabilities / Skills: Familiarity with data architecture frameworks and best practices. Strong communication skills and the ability to explain complex concepts to non-technical stakeholders. Must be able to collaborate with cross-functional teams to solve complex problems and develop innovative solutions. Must have good troubleshooting skills and be able to help other people with their work. Familiarity with the latest Generative AI models. Good understanding of Data Integration technologies. Good understanding of API-First architecture. Good understanding of enterprise data projects (data warehouses/master data management etc. ) with hands-on data analysis. Experience with Agile and DevOps processes. Must be able to deal with ambiguity and adapt to changing business needs. Good team player, self-motivating, and committed with an ability to work under pressure and to meet tight deadlines. Ability to work independently and have knowledge of all aspects of the Software Development Lifecycle. Experience Requirements: 18-20 years of experience in managing master data processes and architecture. Proven track record in complex multinational environments. Demonstrated ability to implement and optimize data governance strategies. Good understanding of the Data architecture discipline, processes, concepts and analytics best practices. Data Governance, Security, Privacy and Compliance requirements for an enterprise. Possess strong knowledge of industry best practices around modern data architecture. Background in SAP/ERP, SAP MDG, BODS etc. is preferable.

What You'll Do As a Marketing Data Analyst, you will analyze data from multiple marketing channels to assess performance, identify trends, and develop relevant insights. You will create detailed reports and dashboards to track goals and segment audiences to tailor marketing strategies. Your role involves evaluating and optimizing campaign performance, designing testing strategies to enhance channel effectiveness, and providing business intelligence to support customer lifecycle management and Go-To-Market strategies. Additionally, you will collaborate with Sales, Marketing, and Strategy teams on various programs and deliver clear, data-driven recommendations to improve overall marketing efforts. What Your Responsibilities Will Be Analyze Marketing Data & Support Campaign Targeting : Collect, interpret, and analyze data from various marketing channels to identify trends, patterns, and actionable insights. Support marketing teams by providing different lists with the right targeting criteria for campaigns (outbound, digital, and email marketing). Collaborate with Teams : Work closely with Sales, Marketing, Strategy, and Customer Success teams to understand data needs and provide analytical solutions. Campaign Evaluation & Optimization : Evaluate marketing campaign performance, design testing strategies, and provide recommendations to improve effectiveness. Data Quality Assurance : Perform data validation and cleanup to ensure accuracy and reliability of data for reporting and analysis. Build Predictive Models : Develop machine learning algorithms and models (e.g., propensity and value models) to optimize marketing efforts across different products and geographies. Ad-Hoc Analysis & Business Intelligence : Conduct ad-hoc analysis to solve business problems, monitor performance trends, and provide actionable insights to support business decisions. Integrate 3rd Party Data & Fuzzy Matching : Integrate data from external sources and apply fuzzy matching techniques to compare and merge data for a more comprehensive view of customers and prospects. You will report to Director of Prospect Analytics with a team in India, and collaboration with the US team. What You'll Need to be Successful 5+ years of experience in Data Analysis. Experience in SQL , Snowflake , and Python on a daily basis. Ability in data analytics , creating relevant insights, and working with cross functional teams

Role & responsibilities: Design & Configuration: Develop and configure MDM and Data Quality tools such as Syndigo, Snowflake, and Alation. Perform data quality functions including audits, assessments, entity resolution, data profiling, scorecard development, and exception management configuration. Configure workflows for Products and Customer data in Syndigo and Winshuttle. Support the development of Master Data and IT system architecture roadmaps to improve e-commerce strategy, supply chain efficiency, and customer experience. Collaborate in an agile environment to design and build data solutions, ensuring thorough end-to-end testing. Implement data orchestration pipelines, data sourcing, cleansing, and quality control processes. Contribute to software verification plans and quality assurance procedures. Document and maintain data pipeline architecture. Contribute to IT standards, procedures, and processes. Document and maintain software functionality. Training & Support: Develop & maintain technical design documentation. Create and maintain relevant project documentation throughout SDLC Create clear and concise training documentation Lead end-to-end delivery of technical solutions Support the installations, maintenance, and upgrades of MDM tools Create test cases and support user testing throughout relevant test cycles. Preferred candidate profile: Bachelor's degree in computer science, systems analysis, or a related study, or equivalent experience. Requires mastery-level knowledge of the job area obtained either through advanced education, experience, or both. Should have a minimum of 4 years of Experience in Data Management and Data Quality solutions. Of which a minimum of 3 years of experience in the Syndigo application is required. Data Quality related certifications (i.e., GS1, CIMP, IQCP, ICP, CDMP, and CMMI Enterprise Data Management) are a plus. Should have a conceptual understanding of SAP and PLMs with a strong understanding of Key business processes involving Customer & Product Master data. Should have an in-Depth Knowledge of SQL, Python, & Snowflake. Knowledge of Cloud-based solutions and Alation/Data Governance tools (preferable) Strong Analytical and Problem-Solving Skills. Knowledge of Agile/Waterfall methodologies. Ability to effectively communicate, orally and writing, with IT & Business stakeholders Propensity to learn innovative technologies and approaches and use this knowledge to enhance Smith & Nephew's strategy, standard practices, and processes. Ability to prioritize tasks and adapt to frequent changes in priorities Ability to work in a distributed team setting and a fast-paced environment Perks and benefits Major medical coverage + policy exclusions and insurance non-medical limit. Educational Assistance. Flexible Personal/Vacation Time Off, Privilege Leave, Floater Leave. Parents/Parents-in-Laws Insurance (Employer Contribution of 8,000/- annually), Employee Assistance Program, Parental Leave. Hybrid Work Model Hands-On, Team-Customized Mentorship Extra Perks: Free Cab Transport Facility for all employees; One-Time Meal provided to all employees as per shift. Night shift allowance for shift-based roles.

Overview MSCI ESG Data collection team is involved in acquisition of ESG data at scale and QA of the collected data and responsible for establishing and maintaining highest level of data quality and standards across all datasets feeding our ESG products. As an Data Collection Transformation Senior Associate, you will be responsible for leading and delivering on several initiatives as part of the ESG transformation agenda, to support rapidly evolving ESG landscape and its adoption in the financial market. Responsibilities As a member of MSCI Data Acquisition and Collection team, you are expected to have a strong interest in general Environment, Social, Governance, Climate and policy frameworks around these domains as well as regulatory trends Take active part in projects dealing with “electronification” of ESG & Climate frameworks and principles into data definitions which can be operationalized for collection Collaborate with Research teams on building data collection templates and with technology teams to translate these into implementable data models Do hands-on research with new data sets by studying company disclosures to help connect research proposals with implementable solution which are scalable Independently run analysis on data sets (either collected or from third party) to detect trends/patterns (EDA) and propose ways to build anomaly detection on new and existing content Analyze & research the historical data corrections across all ESG & Climate data and propose & implement contextual/thematic QA to detect cases that potentially may not be captured in current QA framework “Codify” data definitions with an intent to build NLP driven data extraction models (leveraging Traditional approaches/LLMs) to automate detection and extraction of “Facts” from company disclosures Help design and set-up new data collection processes and help with integration of these processes with ongoing data operations Deliver top quality data aligned with MSCI methodology, service level agreements, and regulatory requirements; Steer to improve methodology and SOP documents leveraging data and content expertise; Drive process improvements to ensure consistent data quality and efficiency, such as automation of data quality diagnostics by developing a new system/tool that will enable quality assessment of data without manual intervention; Contribute to process improvements to ensure consistent data quality and efficiency, such as automation of data quality diagnostics by developing a new system/tool which will enable quality assessment of data without manual intervention; Work with internal stakeholders and downstream teams on understanding data requirement, data QC scope and data delivery; Create reports/dashboards which provide quantitative data assessment metrics which justify recommendations. Visualization, outlier detection/analysis, data summaries, etc. Sharing plans, recommendations, summaries with management through conference calls, meetings and presentations with internal/external teams, Research and product Qualifications Analytical skills and has strong attention to details - Should have keen interest in analyzing data, process flows and quality focused Exposure of using tools such as Python/SQL etc. - Demonstrated experience in improving process/Automation through applications of Python/ML/RPA Work exposure with any of the visualization tools such as PowerBI would be preferable. Should have very good hands on skills working with advanced excel features. Self-starter and self-motivated, should be solutions focused and have the ability to work in unstructured environments Comfortable working in a team environment across hierarchies, functions and geographies Should have experience of working in Financial/technology/Business Analysis domain Knowledge about equities or financial markets in general. Exposure to ESG data would be added advantage Desired Experience 7+ years of full-time professional experience in: Experience in data quality and automation related roles, Business analysis, analyzing existing process and reengineer to achieve efficiency and improved quality, Exposure of using tools such as Pandas/SQL, Power BI etc. would be preferable Financial services experience; good to have exposure to ESG What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum. At MSCI we are passionate about what we do, and we are inspired by our purpose – to power better investment decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry. MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process. MSCI Inc. is an equal opportunity employer committed to diversifying its workforce. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agencies MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. Note on recruitment scams We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com

Job Description: Strong change and project management skills Stakeholder Management, Communications, Reporting Data management, data governance, and data quality management domain knowledge Subject Matter Expertise required in more than one of the following areas- Data Management, Data Governance, Data Quality Measurement and Reporting, Data Quality Issues Management. Liaise with IWPB markets and stakeholders to coordinate delivery of organizational DQ Governance objectives, and provide consultative support to facilitate progress Conduct analysis of IWPB DQ portfolio to identify thematic trends and insights, to effectively advise stakeholders in managing their respective domains Proficiency in MI reporting and visualization is strongly preferred Proficiency in Change and Project Management is strongly preferred. Ability to prepare programme update materials and present for senior stakeholders, with prompt response any issues / escalations Strong communications and Stakeholder Management skills: Should be able to work effectively and maintain strong working relationships as an integral part of a larger team 8+ yrs of relevant experience preferred.

We are currently seeking an experienced professional to join our team in the role of Senior Business Analyst. In this role, you will: Domain expertise within the relevant financial services area Screening domain expertise Working with delivery teams to translate the end user requirements to application/system requirements Managing overall delivery of artifacts as per schedule plan Coordination with Business and IT teams to understand the requirement, overall management of deliverable items Reviewing functional / technical documents prepared by Business / Technical teams and ensuring version maintenance of same Requirements To be successful in this role, you should meet the following requirements: Capturing, analysing and documenting functional requirements Ability to convert functional requirement into technical specification Business process modelling investigating operational requirements, issues and opportunities to seek effective solutions, automation of processes Preparation of test scenarios and ability to provide effective solutions Visualizing the source data by running SQLs to identify data quality issues Providing support and solutions for data analysis, which involve verifying the details in the data base using SQL Knowledge of Jira and Confluence Knowledge about Dev OPS and Agile methodology Ability to work in different time zones Good presentation and communication skills Good to have: Understanding on Unix and ETL tools

Join us as a Data Engineer, PySpark This is an exciting opportunity to use your technical expertise to collaborate with colleagues and build effortless, digital first customer experiences You ll be simplifying the bank by developing innovative data driven solutions, using insight to be commercially successful, and keeping our customers and the bank s data safe and secure Participating actively in the data engineering community, you ll deliver opportunities to support the bank s strategic direction while building your network across the bank What youll do As a Data Engineer, you ll play a key role in driving value for our customers by building data solutions. You ll be carrying out data engineering tasks to build, maintain, test and optimise a scalable data architecture, as well as carrying out data extractions, transforming data to make it usable to data analysts and scientists, and loading data into data platforms. You ll also be: Developing comprehensive knowledge of the bank s data structures and metrics, advocating change where needed for product development Practicing DevOps adoption in the delivery of data engineering, proactively performing root cause analysis and resolving issues Collaborating closely with core technology and architecture teams in the bank to build data knowledge and data solutions Developing a clear understanding of data platform cost levers to build cost effective and strategic solutions Sourcing new data using the most appropriate tooling and integrating it into the overall solution to deliver for our customers The skills youll need To be successful in this role, you ll need a good understanding of data usage and dependencies with wider teams and the end customer, as well as experience of extracting value and features from large scale data. Youll need at least five years of experience in PySpark, Python, SQL, CICD, Gitlab and AWS. You ll also demonstrate: Experience of ETL technical design, including data quality testing, cleansing and monitoring, and data warehousing and data modelling capabilities Experience of using programming languages alongside knowledge of data and software engineering fundamentals Good knowledge of modern code development practices Strong communication skills with the ability to proactively engage with a wide range of stakeholders Hours 45 Job Posting Closing Date: 11/07/2025

Join Us in the International Seller Services Central Analytics Team and Tackle Data Warehousing and Reporting Challenges! We are a dedicated group of BIE, DE, DS, AS and BAs within the Seller Services organization at Amazon. Our mission is to deliver data-driven analytical solutions that empower sellers to thrive on Amazons global platform. We specialize in constructing and maintaining intricate standard data pipelines that are used by thousands of users across the globe to measure, derive and analyze performance of the sellers selling on Amazon. We are currently in search of a brilliant, self-driven, and seasoned Data Engineer I to join our team. In this role, you will have the opportunity to work on a major data warehouse migration project. This project includes building extensive data models and complex ETL pipelines and collaboration with global business and technical leaders As a Data Engineer at Amazon, you will work collaboratively with senior DE, BIE, product manager and other stakeholders to build data solutions that are stable and performant. Specifically, you will transport and process data between databases and files into databases, understand the business logic and design the suitable data model and drive resolution of data quality issues with source teams. About the team The International Seller Services Central Analytics (ISS-CA) team is a highly specialized, cross-functional group tasked with driving critical business insights and breakthroughs. Composed of experts from diverse backgrounds, including scientists, economists, Business Intelligence Engineers, Data Engineers, and Business Analysts, this team is at the forefront of leveraging massive-scale data, advanced analytics, and machine learning techniques. Bachelors degree 1+ years of data engineering experience Experience with SQL Experience with data modeling, warehousing and building ETL pipelines Experience with one or more scripting language (e.g., Python, KornShell) Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc. Knowledge of AWS Infrastructure Experience with database, data warehouse or data lake solutions Experience with industrial database migration

SAP MDG Experience in SAP MDG EhP6 & MDG 7.0/8.0 (Preferably 9.0) (10+ Years of experience) Extensive ECC and/or S/4 HANA experience, Worked on at least 2 MDG projects Expertise in Implementation of SAP MDG Solution for masters like Customer, Vendor, Material, etc. Expertise in Data Model Enhancement, Data Transfer (DIF/DEF), Data Replication Framework (DRF), Business Rules Framework plus (BRFplus). Experience in Configuration rule based Workflow and in Integrating business process requirements with the technical implementation of SAP Master Data Governance. Experience in User interface modelling (Design and Creation of UI, Value restriction, Define navigation elements of type Hyperlink or Push button, Data quality, Validation and Derivation rules). Experience in Process Modelling (Entity, Business Activity change, Request type, Workflow, Edition type, Relationship, Data replication techniques, SOA service, ALE connection, Key & value mapping, Data transfer, Export & import master data, Convert master data). Expert knowledge in activation and configuration of the MDG modules & components. SAP ERP logistics knowledge (SAP modules SD or MM), especially master data is required.

Req ID: 330198 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Snowflake Engineer to join our team in Bangalore, Karn taka (IN-KA), India (IN). Job Title: Snowflake Engineer Join our dynamic data team as a Snowflake Engineer, where youll design and implement scalable cloud data solutions tailored for the financial services sector. Youll work closely with cross-functional teams to optimize data pipelines, ensure data integrity, and support analytics initiatives that drive business insights. Key Responsibilities: Overall: Design, develop, and maintain Snowflake-based data architectures. Build robust ETL/ELT pipelines for financial data processing. Collaborate with data analysts, engineers, and business stakeholders. Ensure data security, compliance, and performance optimization. Data Engineering & Development Build and optimize ELT/ETL pipelines using SQL, Python, or third-party tools. Develop reusable components, frameworks, and automation scripts to streamline data operations. Implement data quality checks, validation routines, and monitoring mechanisms. Performance Tuning & Optimization Monitor and tune Snowflake workloads for performance, cost-efficiency, and scalability. Analyze query performance and optimize SQL scripts, warehouse sizing, and caching strategies. Implement best practices for partitioning, clustering, and materialized views. Security & Governance Configure and manage Snowflake roles, access controls, and data masking policies. Ensure compliance with data governance standards, including lineage, auditing, and retention policies. Collaborate with security teams to implement encryption, secure data sharing, and regulatory compliance. Qualifications: 5+ years of hands-on experience with Snowflake is required. Strong SQL and data modeling skills is required. Experience in financial services is preferred. Familiarity with Python, dbt, or similar tools is a plus.

Summary About Guidewire Guidewire is the platform P&C insurers trust to engage, innovate, and grow efficiently. We combine digital, core, analytics, and AI to deliver our platform as a cloud service. More than 540+ insurers in 40 countries, from new ventures to the largest and most complex in the world, run on Guidewire. As a partner to our customers, we continually evolve to enable their success. We are proud of our unparalleled implementation track record with 1600+ successful projects, supported by the largest R&D team and partner ecosystem in the industry. Our Marketplace provides hundreds of applications that accelerate integration, localization, and innovation. Guidewire Software, Inc. is proud to be an equal opportunity and affirmative action employer. We are committed to an inclusive workplace, and believe that a diversity of perspectives, abilities, and cultures is a key to our success. Qualified applicants will receive consideration without regard to race, color, ancestry, religion, sex, national origin, citizenship, marital status, age, sexual orientation, gender identity, gender expression, veteran status, or disability. All offers are contingent upon passing a criminal history and other background checks where its applicable to the position. Job Description Responsibilities : Design and Development: Design, and develop robust, scalable, and efficient data pipelines. Design and manage platform solutions to support data engineering needs to ensure seamless integration and performance. Write clean, efficient, and maintainable code. Data Management and Optimization: Ensure data quality, integrity, and security across all data pipelines. Optimize data processing workflows for performance and cost-efficiency. Develop and maintain comprehensive documentation for data pipelines and related processes. Innovation and Continuous Improvement: Stay current with emerging technologies and industry trends in big data and cloud computing. Propose and implement innovative solutions to improve data processing and analytics capabilities. Continuously evaluate and improve existing data infrastructure and processes. Qualifications: Bachelor s or Master s degree in Computer Science, Engineering, or a related field. 5+ years of experience in software engineering with a focus on data engineering and building data platform Strong programming experience using Python or Java . Proven experience with Big data technologies like Apache Spark , Amazon EMR , Apache Iceberg , Amazon Redshift , etc or Similar technologies Proven experience in RDBMS (Postgres, MySql, etc) and NoSQL (MongoDB, DynamoDB, etc) database Proficient in AWS cloud services (e.g., Lambda , S3 , Athena , Glue ) or comparable cloud technologies. In-depth understanding of SDLC best practices, including Agile methodologies , code reviews, and CI/CD . Experience working in Event driven and Serverless Architecture Experience with platform solutions and containerization technologies (e.g., Docker , Kubernetes). Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment. Strong communication skills, both written and verbal. Why Join Us: Opportunity to work with cutting-edge technologies and innovative projects. Collaborative and inclusive work environment. Competitive salary and benefits package. Professional development opportunities and career growth.

Summary About Guidewire Guidewire is the platform P&C insurers trust to engage, innovate, and grow efficiently. We combine digital, core, analytics, and AI to deliver our platform as a cloud service. More than 540+ insurers in 40 countries, from new ventures to the largest and most complex in the world, run on Guidewire. As a partner to our customers, we continually evolve to enable their success. We are proud of our unparalleled implementation track record with 1600+ successful projects, supported by the largest R&D team and partner ecosystem in the industry. Our Marketplace provides hundreds of applications that accelerate integration, localization, and innovation. Guidewire Software, Inc. is proud to be an equal opportunity and affirmative action employer. We are committed to an inclusive workplace, and believe that a diversity of perspectives, abilities, and cultures is a key to our success. Qualified applicants will receive consideration without regard to race, color, ancestry, religion, sex, national origin, citizenship, marital status, age, sexual orientation, gender identity, gender expression, veteran status, or disability. All offers are contingent upon passing a criminal history and other background checks where its applicable to the position. Job Description Responsibilities : Design and Development: Design, and develop robust, scalable, and efficient data pipelines. Design and manage platform solutions to support data engineering needs to ensure seamless integration and performance. Write clean, efficient, and maintainable code. Data Management and Optimization: Ensure data quality, integrity, and security across all data pipelines. Optimize data processing workflows for performance and cost-efficiency. Develop and maintain comprehensive documentation for data pipelines and related processes. Innovation and Continuous Improvement: Stay current with emerging technologies and industry trends in big data and cloud computing. Propose and implement innovative solutions to improve data processing and analytics capabilities. Continuously evaluate and improve existing data infrastructure and processes. Qualifications: Bachelor s or Master s degree in Computer Science, Engineering, or a related field. 5+ years of experience in software engineering with a focus on data engineering and building data platform Strong programming experience using Python or Java . Proven experience with Big data technologies like Apache Spark , Amazon EMR , Apache Iceberg , Amazon Redshift , etc or Similar technologies Proven experience in RDBMS (Postgres, MySql, etc) and NoSQL (MongoDB, DynamoDB, etc) database Proficient in AWS cloud services (e.g., Lambda , S3 , Athena , Glue ) or comparable cloud technologies. In-depth understanding of SDLC best practices, including Agile methodologies , code reviews, and CI/CD . Experience working in Event driven and Serverless Architecture Experience with platform solutions and containerization technologies (e.g., Docker , Kubernetes). Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment. Strong communication skills, both written and verbal.

HSBC is one of the largest banking and financial services organizations in the world, with operations in 62 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realize their ambitions. We are currently seeking an experienced professional to join our team in the role of Assistant Vice President Principal responsibilities The role holder will support Data Finance in maintaining and governing data which have been setup for Data Quality/Remediation process within Finance to support across Finance. Primary responsibilities will include. Develop a strong working understanding of Data Quality processes, Issue Management, and broader Data Management pillars; apply this knowledge to real-world problem-solving, not just theoretical frameworks. Conduct hands-on business-data analysis at both a MVP-level use cases and complex scenarios depending on priority/deliverable timelines. Support (where required) Governance and Data leads driving working group outcomes, hosting data forums, and managing meeting logistics including documentation and ownership of follow-up actions. Take ownership of stakeholder relationships, using strong interpersonal and communication skills to manage expectations, educate, resolve conflicts, and deliver results across cross-functional teams. Demonstrate strong self-management by proactively prioritizing tasks, driving deliverables independently and maintaining accountability. Experience in MI Reporting work with entry level ability code SQL, Python and/or Alteryx. Communicating with stakeholders across functions in diverse locations and establishing working relationships. Absorbing concepts, defining the approach, and developing processes with limited handholding & Pressure to deliver within fixed timelines in an environment of ambiguity. Requirements Postgraduate/Graduate with 10-12 years of experience within Banking with some data experience. Strong analytical and problem-solving skills. Excellent stakeholder engagement and management skills. Ability to navigate within the organization. Experience in analyzing and interpreting large volumes of data and information. Flexibility to work in accordance with Business requirements this may include working outside of normal hours. Must be experienced in working under pressure on multiple process improvement projects. Understanding of HSBC Group structures, values, processes, and objectives. Experience with using project/collaboration tools such as JIRA, SharePoint, and Confluence. Proficient in MS Excel and Power point. Knowledge in using project/collaboration tools such as JIRA, SharePoint, and Confluence.

We are seeking an experienced Data Platform Reliability Engineer to lead our efforts in designing, implementing, and maintaining highly reliable data infrastructure. The ideal candidate will bring extensive expertise in building enterprise-grade data platforms with a focus on reliability engineering, governance, and SLA/SLO design. This role will be instrumental in developing advanced monitoring solutions, including LLM-powered systems, to ensure the integrity and availability of our critical data assets. Platform Architecture and Design Design and architect scalable, fault-tolerant data platforms leveraging modern technologies like Snowflake, Databricks, and cloud-native services Establish architectural patterns that ensure high availability and resiliency across data systems Develop technical roadmaps for platform evolution with reliability as a core principle Reliability Engineering Implement comprehensive SLA/SLO frameworks for data services Design and execute chaos engineering experiments to identify and address potential failure modes Create automated recovery mechanisms for critical data pipelines and services Establish incident management processes and runbooks Monitoring and Observability Develop advanced monitoring solutions, including LLM-powered anomaly detection Design comprehensive observability strategies across the data ecosystem Implement proactive alerting systems to identify issues before they impact users Create dashboards and visualization tools for reliability metrics Data Quality and Governance Establish data quality monitoring processes and tools Implement data lineage tracking mechanisms Develop automated validation protocols for data integrity Collaborate with data governance teams to ensure compliance with policies Innovation and Improvement Research and implement AI/ML approaches to improve platform reliability Lead continuous improvement initiatives for data infrastructure Mentor team members on reliability engineering best practices Stay current with emerging technologies and reliability patterns in the data platform space Qualifications 10+ years of experience in data platform engineering or related fields Proven expertise with enterprise data platforms (Snowflake, Databricks, etc.) Strong background in reliability engineering, SRE practices, or similar disciplines Experience implementing data quality monitoring frameworks Knowledge of AI/ML applications for system monitoring and reliability Excellent communication skills and ability to translate technical concepts to diverse stakeholders

Join us as a Customer Service & Operations Unit Leader If you have strong team leadership experience, this is a chance to lead, manage and coach a team to deliver outstanding customer service through telemarketing, telesales and retention activities We ll look to you to lead by example by making customer calls to identify and understand customer needs and help them by delivering solutions that are fit for purpose You ll be recognised for delivering a first class outbound and inbound telephony and digital service to our prospective customers and existing customers What youll do As a Customer Service & Operations Unit Leader, you ll be making sure that customer needs and priorities are identified by the team to ensure appropriate services are offered during customer calls. You ll lead and manage the team to deliver against new business targets including sales appointments booked, telephony sales made and new business income, while encouraging them to work together to build trust and long term sustainable value for our customers and colleagues. Your other responsibilities will include: Developing the capability of your team through observations, feedback and coaching Establishing effective working relationships with key stakeholders within the business and the broader bank to plan and deliver targeted telemarketing campaigns Developing and maintaining a forward looking telemarketing campaign planner Analysing the results of the team to make sure that data quality utilised for telemarketing campaigns is optimised Providing effective planning and management of your team s workload Were offering this role at associate vice president level The skills youll need We re looking for someone with strong people management, leadership and coaching skills with the ability to deliver through people. You ll have experience of managing telephony teams to generate and close sales leads, achieve stretching targets and deliver sales through service, preferably in a business-to-business environment. You ll also need: Proficient in banking payment platforms such as Bankline and Payit, with a strong grasp of back-office operations and fundamental reconciliation processes. Demonstrated ability to manage customer complaints with professionalism, ensuring prompt resolution and precise documentation. Experience of planning and delivering targeted telemarketing campaigns The ability to lead by example through calls to customers to identify and understand their needs and recommend appropriate solutions An excellent customer focus and the proven ability to exceed customer expectations Strong interpersonal and communication skills The ability to develop effective working relationships with colleagues and stakeholders Good time management, planning and organisational skills Hours 45 Job Posting Closing Date: 18/07/2025

Req ID: 332236 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Business Consulting-Technical analyst with ETL,GCP using Pyspark to join our team in Pune, Mah r shtra (IN-MH), India (IN). Key Responsibilities: Data Pipeline Development: Designing, implementing, and optimizing data pipelines on GCP using PySpark for efficient and scalable data processing. ETL Workflow Development: Building and maintaining ETL workflows for extracting, transforming, and loading data into various GCP services. GCP Service Utilization: Leveraging GCP services like BigQuery, Cloud Storage, Dataflow, and Dataproc for data storage, processing, and analysis. Data Transformation: Utilizing PySpark for data manipulation, cleansing, enrichment, and validation. Performance Optimization: Ensuring the performance and scalability of data processing jobs on GCP. Collaboration: Working with data scientists, analysts, and other stakeholders to understand data requirements and translate them into technical solutions. Data Quality and Governance: Implementing and maintaining data quality standards, security measures, and compliance with data governance policies on GCP. Troubleshooting and Support: Diagnosing and resolving issues related to data pipelines and infrastructure. Staying Updated: Keeping abreast of the latest GCP services, PySpark features, and best practices in data engineering. Required Skills: GCP Expertise: Strong understanding of GCP services like BigQuery, Cloud Storage, Dataflow, and Dataproc. PySpark Proficiency: Demonstrated experience in using PySpark for data processing, transformation, and analysis. Python Programming: Solid Python programming skills for data manipulation and scripting. Data Modeling and ETL: Experience with data modeling, ETL processes, and data warehousing concepts. SQL: Proficiency in SQL for querying and manipulating data in relational databases. Big Data Concepts: Understanding of big data principles and distributed computing concepts. Communication and Collaboration: Ability to effectively communicate technical solutions and collaborate with cross-functional teams

Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary . In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decisionmaking for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. Why PWC Learn more about us . s Preparation of Functional Requirement Specification (FRS) of the proposed Web GIS Applications. Identifying integration requirement with other departments and agencies and finalization of integration specifications. Preparation of Test Use cases Application and Functional testing Application Hosting Web GIS Server Administration and User Management. Mandatory skill sets API handling, Python, Javascript, HTML, CSS Preferred skill sets API handling, Python, Javascript, HTML, CSS Years of experience required 3 7 yrs Education qualification B.tech/MCA/MBA Education Degrees/Field of Study required Bachelor of Technology, Master of Business Administration Degrees/Field of Study preferred Required Skills API Standards, Hyper Text Markup Language (HTML), JavaScript, Python (Programming Language) Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis {+ 16 more} Travel Requirements Government Clearance Required?

Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decisionmaking and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decisionmaking and automation. & Summary A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities Design and implement agentic AI architectures, including planning, memory, tool use, multiagent collaboration, and feedback loops. Build and integrate with large language models (LLMs), including finetuning, prompt engineering, and retrievalaugmented generation (RAG). Develop agents capable of autonomous task execution, dynamic decisionmaking, and longhorizon planning. Lead development of tools for selfreflection, memory persistence, and contextual awareness in AI systems. Create or improve pipelines for multimodal generative AI, such as texttoimage, code generation, or synthetic media creation. Work with APIs, opensource tools (LangChain, AutoGen, OpenAI, Hugging Face), and cloud infrastructure to deploy productiongrade agents. Collaborate with product, design, and research teams to align capabilities with user needs and ethical AI practices. Stay up to date with the latest research and developments in agentic AI, LLMs, and generative A Mandatory skill sets LangChain, AutoGen, Preferred skill sets Langgraph,Langchain Years of experience required 37 Education qualification B.Tech / M.Tech / MBA / MCA Education Degrees/Field of Study required Master of Engineering, Bachelor of Engineering, Master of Business Administration Degrees/Field of Study preferred Required Skills Generative AI Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility, Machine Learning {+ 25 more} No

Key Responsibilities: Design, develop, and maintain robust, scalable, and efficient data pipelines to collect, process, and store structured and unstructured data. Build and optimize data warehouses, data lakes, and ETL/ELT workflows. Integrate data from multiple sources including databases, APIs, and streaming platforms. Collaborate with data scientists and analysts to understand data requirements and deliver high-quality datasets. Ensure data quality, integrity, and security throughout the data lifecycle. Monitor and troubleshoot data pipeline performance and failures. Implement data governance and compliance policies. Automate data workflows and implement data orchestration tools (e.g., Apache Airflow). Optimize storage and query performance in cloud and on-premises environments. Keep up to date with emerging data engineering tools, techniques, and best practices.