129 Data Operations Jobs - Page 3

hiring a Data Operations Engineer for a 6-month contractual role based in Pune. The ideal candidate should have 5-9 years of experience in Data Operations, Technical Support, or Reporting QA. You will be responsible for monitoring data health, validating config payloads, troubleshooting Airflow DAGs, documenting best practices, and supporting Ad Tech partner integrations. Proficiency in Snowflake, Airflow, Python scripting, and SQL is mandatory. Excellent communication, problem-solving skills, and a proactive attitude are essential for success in this role.

Overview The Data Production Program Management Lead plays a critical role in the operationalization and delivery of derived datasets that underpin MSCI Private Assets analytics and internal workflows. This includes overseeing production pipelines for the Private Capital Universe, index creation, and related outputs that flow into downstream platforms and client-facing tools. Reporting to the Data Integration and Production Program Lead, this role acts as the connective tissue between Data Engineering, Product, and internal platform teams—ensuring execution discipline, production readiness, and alignment across all data delivery touchpoints. This role will help streamline tooling, support automation efforts, and reduce operational risk across one of MSCI’s most complex and business-critical data domains. Responsibilities Own program execution for PCU and index creation pipelines from production logic through distribution readiness Collaborate with Data, Engineering, Product, and platform owners to define production timelines and manage upstream dependencies Align tooling requirements with internal teams to improve data validation, monitoring, auditability, and operational controls Track delivery readiness of each dataset, ensuring reconciliation and testing are complete before internal or external use Ensure seamless integration of production outputs into downstream platforms by coordinating platform owners Maintain comprehensive documentation of workflow logic, dependencies, and edge cases across PCU/index pipelines Identify and manage delivery risks, escalate blockers, and uphold release quality standards Serve as the central coordinator ensuring seamless handoffs between raw data production and downstream delivery—maintaining clear ownership, reducing fragmentation, and enabling end-to-end accountability Qualifications 7+ years of experience in program or product management, preferably in data operations or analytics production Strong understanding of data transformations, modeling, validation, and production workflows Familiarity with Agile or iterative delivery methodologies and cross-functional collaboration High attention to detail and ownership of release quality, timelines, and stakeholder expectations Excellent communication and stakeholder management skills; adept at translating between technical execution and business priorities Experience with operational tooling (e.g., Jira, Confluence, automated validation or reconciliation systems) Ability to scale and refine delivery processes over time, driving continuous improvement in production maturity 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. 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

What is The Job? We are hiring a Marketing Operations Analyst, who will be an integrated part of marketing and sales team. You will be responsible for automating the day-to-day work between marketing and sales, keeping the best practices in mind. You will get the actionable insights for sales and marketing, through data and funnel analysis. You will also help marketing and product team with the routine research work (including and not limited to) keyword analysis, list building, and coordinating with vendors. Why Should You Apply? If Inbound Marketing and a small team interests you, this is an incredible opportunity to create a significant impact on a fast growing product. You can also extend your reach to other aspects of inbound / content marketing. Responsibilities: Manage technical aspects of key marketing systems (marketing automation, CRM) used to generate, distribute, and report on leads Establish and maintain scalable processes that ensure best practices in campaign and lead management Create and maintain metrics reports on marketing and sales activities and effectiveness and business impact Analyze marketing and sales data to develop insights and make recommendations on areas for optimization Monitor and maintain data quality within the marketing database Evaluate new technologies and add-on applications to improve and optimize marketing team performance Help marketing team in the list building exercise through various channels Coordinate with various marketing vendors Optimizing online paid campaign Help marketing team in routine research activities like SEO keywords, tools selection etc. Help in circulating weekly marketing reports across the company. Requirements : Bachelor's degree is a must. An MBA would be a PLUS. 2-3 years of experience in marketing automation and analytics Strong analytical skills and experience with reporting and data analysis. Proficient in marketing automation systems (e.g. HubSpot) and integrating those systems with other technologies. Strong drive to learn, excellent communicator, and a desire to improve processes

About the Role We are seeking a proactive and results-driven Lead - Data Ops to drive operational efficiency, support cross-functional alignment, and ensure transparent communication of key metrics across the organization. The ideal candidate will be responsible for adopting new product features, ensuring support needs are translated into actionable product improvements, and developing performance indicators to track the health and efficiency of operations. Proficiency in SQL, Power BI, and Excel-based reporting is essential. Requirements A Day in the Life Collaborate with the Product team to adopt newly released efficiencies aimed at improving unit economics and process optimization. Liaise with the Platform team to document and share support requirements. Ensure they are incorporated in Product Requirement Documents (PRDs) and prioritized based on business impact. Own the end-to-end communication and reporting of OKRs and other key operational metrics to leadership, ensuring transparency and accountability. Track progress and follow up with Data Ops Managers to ensure timely updates, alignment, and delivery of key objectives. Drive a culture of ownership and collaboration across teams to ensure commitments are delivered with quality and within timelines. Define and develop KPIs to measure the efficiency and effectiveness of operational programs, and use data insights to inform improvements. Identify opportunities for improving operational processes and implement incremental changes to enhance performance tracking and team efficiency. Utilize SQL for querying and analyzing operational datasets; proficiency with Power BI for creating dashboards and visual reports. What You Need Strong knowledge of SQL, Power BI, and Excel-based reporting. Excellent written and verbal communication skills. Ability to translate business requirements into actionable operational plans. Demonstrated ability to work with cross-functional teams in a fast-paced, dynamic environment. Strong organizational and stakeholder management skills. An ambitious person who can thrive in a flexible startup environment with only one goal- getting things done .

Job Description: Assistant Manager - Data and Operations (GAC Division) Location: Pune, Hinjewadi Office (with flexibility to work in UK/US shifts) Company- Division: CRISIL - Global Analytical Centre (GAC) About CRISIL : CRISIL is a global analytical company providing ratings, research, and risk and policy advisory services. We are India's leading ratings agency. We are also the foremost provider of high-end research to the world's largest banks and leading corporations. CRISIL's majority shareholder is S&P Global. Position Summary: We are seeking an experienced and dynamic Assistant Manager to join our Data and Operations team within the GAC division. The ideal candidate will possess a strong finance background, proven people management experience, and expertise in automation tools and technologies. This role will involve overseeing data operations, managing a team, and ensuring the delivery of high-quality analytical services to our clients. Key Responsibilities: Team Management: Lead and manage a team of analysts and associates, providing guidance, support, and mentorship. Conduct regular performance reviews and facilitate professional development opportunities for team members. Foster a collaborative and high-performance culture within the team. Data Operations: Oversee the data collection, validation, and analysis processes to ensure accuracy and reliability. Develop and implement operational procedures and best practices to enhance efficiency and productivity. Collaborate with cross-functional teams to streamline data operations and improve service delivery. Financial Analysis: Utilize financial expertise to interpret data and provide actionable insights that support decision-making. Assist in the development of financial models and reports that meet client needs and expectations. Monitor industry trends and regulatory changes that may impact data operations and financial analysis. Automation and Technology: Leverage automation tools and technologies (e.g., Python, SQL, Power BI, GenAI) to enhance data processing and reporting capabilities. Drive initiatives to automate repetitive tasks and improve overall operational efficiency. Stay updated on emerging technologies and best practices in data automation and analytics. Client Engagement: Build and maintain strong relationships with internal and external stakeholders. Address client inquiries and concerns promptly and professionally. Participate in client meetings and presentations to communicate findings and recommendations. Compliance and Quality Assurance: Ensure compliance with relevant regulations and internal policies. Conduct regular audits and quality checks to maintain the integrity of data and operations. Identify and mitigate risks associated with data management and operations. Qualifications: Master’s degree preferably in finance or equivalent. Minimum of 5-7 years of experience in data operations, analytics, or finance, with at least 2-3 years in a managerial role. Strong understanding of financial principles and data management practices. Proficient in automation tools and technologies, including Python, SQL, Power BI, and GenAI. Excellent leadership, communication, and interpersonal skills. Ability to work under pressure and meet tight deadlines. Eligibility Criteria: Not appeared for CRISIL test / interviews in the last six months.

As a Data Operations Associate, you will support data quality and operational efficiency within our team. Your responsibilities will include working on assigned data-related tasks, assisting with process improvements, and maintaining accurate documentation. You will use tools such as CRM Dynamics and Alteryx to complete assigned tasks and contribute to data cleanup efforts. This role offers an excellent opportunity to develop expertise in data operations and make a meaningful impact on data integrity and efficiency. Essential Duties (Required duties employees must accomplish, and performance is measured) Work on assigned tickets in personal Workfront queue, ensuring timely completion and clear communication -50% Support data cleanup efforts and assist with data-related projects- 25% Create, update, and maintain team documentation to ensure accuracy and accessibility- 15% Provide support for ServiceNow tickets and Azure DevOps tasks as needed- 5% Other duties as assigned- 5% Minimum Qualifications EDUCATION/CERTIFICATIONS BA/BS degree in technology or business or equivalent practical experience TECHNICAL/SOFT SKILLS Excellent customer service skills with the ability to manage stakeholder expectations and collaborate with team members at all levels of the organization (Required) Strong attention to detail with exceptional organizational and prioritization skills (Required) Ability to thrive in a fast-paced, evolving environment and adapt to changing priorities (Required) Clear and effective communication skills, with the ability to explain complex data requirements to cross-functional teams (Required) Basic understanding of database concepts and queries (Required) Self-motivated with the ability to work independently as well as collaboratively within a team (Required) EXPERIENCE 1+ years Dynamics CRM/365 experience (Preferred) 1+ year minimum in a Data Quality/Management/Operations role (Preferred) 2+ years proven customer service skills (Required) Basic knowledge of SQL writing/optimizing queries (Preferred) Basic knowledge of database concepts (Required) Proficiency with Microsoft Office (Excel, Outlook, PowerPoint, Word) (Required) 1+ years experience working with Alteryx or other ETL tools (Preferred) 1+ years experience working with a work queue program (Ticket system) (Preferred)

MSCI Services is looking for a Data Operations - Associate to join our Shared Service Data operations team in Hyderabad, Telangana, India . This role specializes in Business Activity classification with a focus on Digital Assets . Our Data team researches and evaluates companies, instruments, and other asset classes based on a multitude of factors. You will be responsible for classifying Digital Assets and related asset types according to the Datonomy methodology , and systematically managing their upkeep. This position offers exposure to the full lifecycle of digital asset initiation, classification, ongoing maintenance, and its derived use in products across MSCI Index and other business units. You'll be part of a highly skilled team that solves complex problems. Your Key Responsibilities Help re-engineer Digital Asset classification operations . Collaborate with the engineering team to design, build, and test systems . Incorporate AI/LLM augmented QA, source transparency, and governance controls into processes. Integrate a unique digital asset identifier and manage the ongoing universe. Contribute to other business classifications as part of the broader team, including issuer and business segment classification across asset classes like Equities, Privates, and Fixed Income. Manage daily operations, coverage expansion, and internal and client query management. Gain exposure to Equity, Fixed Income & other related indexes, performance and analytics; Exchange and vendor data feeds and symbology, etc. Perform in-depth analysis of data, analytics, and workflows to improve processes and/or develop new tools in collaboration with Tech and Development teams. Collaborate across a global organization to serve both internal and external clients in a shared services environment. Partner with our product and coverage organization to serve top-tier clientele, including central banks, leading financial institutions, hedge funds, and corporations. Your Skills and Experience That Will Help You Excel Master's degree in Finance/Economics from a premier institute (or equivalents like CFA, CA, FRM), or an engineering degree with solid experience in finance. Working knowledge of financial markets data operations (Equity, Fixed Income, Alternate investments). Excellent communication skills (both written and presentation), with the ability to thrive in a multicultural environment. A self-starter with the drive to work independently with minimal oversight. Solid background in Excel and working knowledge of SQL . Experience working with IT teams, knowledge of charting tools (Tableau, Power BI, etc.), and basic coding skills to build Proof of Concept models (Python, R, or other scripting) will be an added advantage. Desired Experience Exposure to content/research work in Alternate Asset classes , especially digital assets, will be a plus. Experience working with global vendors (Reuters, Interactive Data, Factset, etc.) will be a plus. Comfortable with different work shifts and schedules (excluding US night shifts).

MSCI Services is looking for a Data Operations - Analyst to join our Shared Service Data operations team. This role focuses on Business Activity classification with a specialization in Digital Assets . The MSCI Data team researches and evaluates companies, instruments, and other asset classes on a multitude of different factors. You'll be responsible for classifying Digital Assets and related asset types according to the Datonomy methodology and managing their systematic upkeep. This position offers exposure to the full lifecycle of digital asset initiation, classification, ongoing maintenance, and its derived use across MSCI Index and other business units. You will be a member of a highly skilled team that solves complex problems. Responsibilities: Be part of the team to re-engineer the Digital Asset classification operations . Work with the engineering team to design, build, and test systems. Build AI/LLM augmented QA, source transparency, and governance controls into the process. Integrate a unique digital asset identifier and ongoing universe management process. Also be responsible for working on other business classifications as part of the larger team, including issuer and business segment classification across different asset classes (Equities, Privates, Fixed Income issuers). Manage daily operations, coverage expansion, and internal and client query management. Gain exposure to Equity, Fixed Income & other related indexes, performance and analytics; Exchange and vendor data feeds and symbology, etc. Perform in-depth analysis of data, analytics, and workflows to improve processes and/or develop new work tools in collaboration with Tech and Development teams. Collaborate across a global organization to service both internal and external clients in a shared services environment. Partner with our product and coverage organization to service first-rate clientele, including many of the world's central banks, leading financial institutions, hedge funds, and corporations. Qualifications: Master's degree in Finance/Economics from a premier institute (including equivalents like CFA, CA, FRM) or an engineering degree with solid experience in finance. Working knowledge of financial markets data operations (Equity, Fixed Income, Alternate investments). Excellent communication skills (both written and presentation), with the ability to work in a multicultural environment. Self-starter with the drive to work independently with minimum oversight. Solid background in Excel and working knowledge of SQL . Experience working with IT teams, knowledge of charting tools (Tableau, Power BI etc.), and basic coding skills to build Proof of Concept models (Python, R, other scripting etc.) will be an added advantage. Desired Experience: Exposure to content/research work in Alternate Asset classes , especially digital assets, will be a plus. Experience in working with global vendors will be a plus (Reuters, Interactive Data, Factset etc.). Exposure to different work shifts and schedules (but No US night shift).

MSCI Services is looking for a Data Operations Associate to join our Shared Service Data operations team, with a specialized focus on Business Activity classification within Digital Assets . The MSCI Data team researches and evaluates companies, instruments, and other asset classes on a multitude of different factors. This role will be in charge of providing classification for Digital Assets and related asset types according to the Datonomy methodology , and managing their systematic upkeep. This position offers exposure to the full lifecycle of digital asset initiation, classification, ongoing maintenance, and its derived use in products across MSCI Index and other business units. Responsibilities: Be part of the team to re-engineer the Digital Asset classification operations . Work with the engineering team to design, build, and test systems . Build AI/LLM augmented QA, source transparency, and governance controls into the process. Integrate a unique digital asset identifier and an ongoing universe management process. Also responsible for working on other business classifications as part of the larger team, including issuer and business segment classification across different asset classes (Equities, Privates, Fixed Income issuers). Manage daily operations, coverage expansion, and internal and client query management. Gain exposure to Equity, Fixed Income & other related indexes, performance and analytics; Exchange and vendor data feeds and symbology, etc. Perform in-depth analysis of data, analytics, and workflows to improve processes and/or develop new work tools in collaboration with Tech and Development teams. Collaborate across a global organization to service both internal and external clients in a shared services environment. Partner with our product and coverage organization to service first-rate clientele, including many of the world's central banks, leading financial institutions, hedge funds, and corporations. Qualifications: Master's degree in Finance/Economics from a premier institute (including equivalents like CFA, CA, FRM) or an engineering degree with solid experience in finance. Working knowledge of financial markets data operations (Equity, Fixed Income, Alternate investments). Excellent communication skills (both written and presentation), with the ability to work in a multi-cultural environment. Self-starter with the drive to work independently with minimum oversight. Solid background in Excel and working knowledge of SQL . Experience working with IT teams, knowledge of charting tools (Tableau, Power BI etc.), and basic coding skills to build Proof of Concept models (Python, R, other scripting etc.) will be an added advantage. Desired Experience: Exposure to content/research work in Alternate Asset classes , especially digital assets, will be a plus. Experience in working with global vendors will be a plus (Reuters, Interactive Data, Factset etc.). Exposure to different work shifts and schedules (but No US night shift).

6-10 years of strong understanding of data pipeline/data warehouse management. - SQL Server/SSIS packages based. - Microsoft ADF & PowerBI based. - Snowflake on AWS Required Candidate profile - Strong SQL knowledge - Good experience in ITIL process (Incident, Change & problem management)

Monitor & maintain data pipelines & ETL processes to ensure reliability & performance Automate routine data operations tasks & optimize workflows for scalability & efficiency Troubleshoot & resolve data related issues, ensuring data quality Required Candidate profile 5+ years of experience into Data Operations role Should have proficiency with data pipeline tools like Apache Airflow Should have high proficiency into Python with Bash or Python with Shell scripting

Key Responsibilities: Market Data Operations: Maintain and validate daily market data inputs including yield curves, FX rates, equity prices, interest rates, and credit spreads. Monitor data feeds and ensure data integrity from sources like Bloomberg, Reuters, Markit, IDC, and internal systems. Troubleshoot data discrepancies and perform root cause analysis for incorrect valuations or PnL breaks. Support daily EOD processes, including static and dynamic data loads into front-office and middle-office systems. Support & Issue Resolution: Provide functional support to front-office traders, risk managers, and middle-office users on market data queries and breaks. Investigate data exceptions and resolve issues within agreed SLAs. Coordinate with IT for system enhancements, bug fixes, and incident resolution. Controls & Governance: Ensure compliance with internal controls, audit, and governance policies related to market data usage. Document and update standard operating procedures (SOPs), run books, and control frameworks. Participate in internal and external audits related to data governance and pricing controls. Project & Change Support: Support implementation of new products, system upgrades, and process automation related to market data handling. Contribute to UAT, data migration, and impact assessments for strategic initiatives or regulatory changes (e.g., FRTB, IFRS 13). Qualifications: Bachelor's degree in Finance, Economics, Mathematics, Computer Science, or related field. 36 years of experience in market data operations, pricing support, or middle office. Experience with financial instruments including fixed income, FX, derivatives, and equities. Key Skills & Competencies: Strong understanding of market data concepts and pricing methodologies (e.g., mark-to-market, bid/ask spreads, yield curves). Familiarity with Bloomberg, Reuters, Markit, IDC, or other market data providers. Proficiency in Excel (VBA preferred), SQL, or other data analysis tools. Good knowledge of middle office systems (e.g., Murex, Calypso, Summit, or proprietary trade platforms). Excellent problem-solving, analytical, and communication skills. Ability to work under pressure and manage priorities across multiple markets and time zones.

Company Overview. KKR is a leading global investment firm that offers alternative asset management as well as capital markets and insurance solutions. KKR aims to generate attractive investment returns by following a patient and disciplined investment approach, employing world-class people, and supporting growth in its portfolio companies and communities. KKR sponsors investment funds that invest in private equity, credit and real assets and has strategic partners that manage hedge funds. KKR’s insurance subsidiaries offer retirement, life and reinsurance products under the management of Global Atlantic Financial Group. References to KKR’s investments may include the activities of its sponsored funds and insurance subsidiaries.. KKR's Gurugram office provides best in class services and solutions to our internal stakeholders and clients, drive organization wide process efficiency and transformation, and reflect KKR's global culture and values of teamwork and innovation. The office will contain multifunctional business capabilities and will be integral in furthering the growth and transformation of KKR.. Team Overview. KKR is building out an enterprise Data Operations group to collect, manage, and harness the power of data across our diverse business activities. The Data Operation Centre of Excellence (CoE) is a cross functional team dedicated to formulating & driving KKR’s enterprise data management strategy while also providing the operation leverage required to bring these strategies/frameworks to life. The Data Ops CoE will consists of 2 focus areas (pillars); Data Management and Data Delivery.. Position Overview. The role is responsible for executing data management processes aimed at ensuring clean and quality data in the KKR data ecosystem. They will be part of KKR’s enterprise data group which collects, manages, and harnesses the power of data across our diverse portfolio investments. They will work collaboratively across the firm to set standards & best practices for data management while providing the operating leverage to centrally support the roll-out/ execution of these frameworks. Roles & Responsibilities. Operational Excellence. Develop specifications as well as testing and enhancing tools/applications in conjunction with the IT team to maintain complete, accurate and up to date data. Maintain consistent, accurate and complete data within KKR’s data ecosystem. Implement data quality controls leveraging industry best tools i.e. Collibra. Create and maintain data quality reporting functionality as per business needs. Ensure data governance practices and activities are embedded across business units. Execute and manage ad hoc data related projects within specified deadlines. Collibra workflow development and maintenance. Stakeholder Management. Collaborate with engineering and IT to support and make recommendations for enhanced digital reporting capabilities and automated data reconciliation. Communicate and work closely with relevant teams to close data gaps in a clear and timely manner. Serve as point of contact for data-related questions and updates from various internal and external groups, delivering ad-hoc analytics to answer key business questions in a timely manner. Reporting & Governance. Design and document standard operating procedures for data management. Implement and own best in class data governance practices; ensuring that data is well defined & transparently documented. Qualifications. Bachelor’s Degree or equivalent work experience required. 2-4 years of data operation experience in financial services. Experience in a multinational Financial Services organization and/or Private Equity preferred. Ability to manage standard reports, templates & dashboards. Ability to validate and review data. Ability to provide support for internal stakeholders by sending reminders of emails, filling timesheets, collecting information as per service requests. Ability to adhere to the compliance requirements of processes. Ability to develop and enhance data protection and management tools or applications. Ability to design and execute data management focusing on data governance and data quality activities.. Experience of using tool like Collibra is a must.. Systems/ Tools/ Application knowledge:. Experience with process design and process enhancement. Proficiency in data operations and data management. Advanced proficiency in Excel. Skills in a BI tool such as Power BI. Advanced SQL skills. Experience with Python is a plus. Displays high attention to detail. Demonstrates outstanding initiative and strong work ethic. Focuses on delivery excellence and accountability. Displays team-work orientation and is highly collaborative. Displays strong integrity and professionalism. Builds strong relationships with local and global colleagues. Demonstrates strong track record in accuracy and organization. Demonstrates excellent written, verbal, and interpersonal communication skills. KKR is an equal opportunity employer. Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law.. Show more Show less

What You'll Do. The Global Analytics and Insights (GAI) team is seeking an experienced and experienced Data Visualization Manager to lead our data-driven decision-making initiatives.. The ideal candidate will have a background in Power BI, expert-level SQL proficiency, to drive actionable insights and demonstrated leadership and mentoring experience, and an ability to drive innovation and manage complex projects.. You will become an expert in Avalara's financial, marketing, sales, and operations data.. This position will Report to Senior Manager. What Your Responsibilities Will Be. You will define and execute the organization's BI strategy, ensuring alignment with business goals.. You will Lead, mentor, and manage a team of BI developers and analysts, fostering a continuous learning.. You will Develop and implement robust data visualization and reporting solutions using Power BI.. You will Optimize data models, dashboards, and reports to provide meaningful insights and support decision-making.. You will Collaborate with business leaders, analysts, and cross-functional teams to gather and translate requirements into actionable BI solutions.. Be a trusted advisor to business teams, identifying opportunities where BI can drive efficiencies and improvements.. You will Ensure data accuracy, consistency, and integrity across multiple data sources.. You will Stay updated with the latest advancements in BI tools, SQL performance tuning, and data visualization best practices.. You will Define and enforce BI development standards, governance, and documentation best practices.. You will work closely with Data Engineering teams to define and maintain scalable data pipelines.. You will Drive automation and optimization of reporting processes to improve efficiency.. What You’ll Need To Be Successful. 8+ years of experience in Business Intelligence, Data Analytics, or related fields.. 5+ Expert proficiency in Power BI, including DAX, Power Query, data modeling, and dashboard creation.. 5+ years of strong SQL skills, with experience in writing complex queries, performance tuning, and working with large datasets.. Familiarity with cloud-based BI solutions (e.g., Azure Synapse, AWS Redshift, Snowflake) is a plus.. Should have understanding of ETL processes and data warehousing concepts.. Strong problem-solving, analytical thinking, and decision-making skills.. How We’ll Take Care Of You. Total Rewards. In addition to a great compensation package, paid time off, and paid parental leave, many Avalara employees are eligible for bonuses.. Health & Wellness. Benefits vary by location but generally include private medical, life, and disability insurance.. Inclusive culture and diversity. Avalara strongly supports diversity, equity, and inclusion, and is committed to integrating them into our business practices and our organizational culture. We also have a total of 8 employee-run resource groups, each with senior leadership and exec sponsorship.. Learn more about our benefits by region here: Avalara North America. What You Need To Know About Avalara. We’re Avalara. We’re defining the relationship between tax and tech.. We’ve already built an industry-leading cloud compliance platform, processing nearly 40 billion customer API calls and over 5 million tax returns a year, and this year we became a billion-dollar business. Our growth is real, and we’re not slowing down until we’ve achieved our mission to be part of every transaction in the world.. We’re bright, innovative, and disruptive, like the orange we love to wear. It captures our quirky spirit and optimistic mindset. It shows off the culture we’ve designed, that empowers our people to win. Ownership and achievement go hand in hand here. We instill passion in our people through the trust we place in them.. We’ve been different from day one. Join us, and your career will be too.. We’re An Equal Opportunity Employer. Supporting diversity and inclusion is a cornerstone of our company — we don’t want people to fit into our culture, but to enrich it. All qualified candidates will receive consideration for employment without regard to race, color, creed, religion, age, gender, national orientation, disability, sexual orientation, US Veteran status, or any other factor protected by law. If you require any reasonable adjustments during the recruitment process, please let us know.. Show more Show less

Who We Are Addepar is a global technology and data company that helps investment professionals provide the most informed, precise guidance for their clients. Hundreds of thousands of users have entrusted Addepar to empower smarter investment decisions and better advice over the last decade. With client presence in more than 45 countries, Addepar’s platform aggregates portfolio, market and client data for over $7 trillion in assets. Addepar’s open platform integrates with more than 100 software, data and services partners to deliver a complete solution for a wide range of firms and use cases. Addepar embraces a global flexible workforce model with offices in Silicon Valley, New York City, Salt Lake City, Chicago, London, Edinburgh and Pune. The Role We are currently seeking a Head of Alternatives Data Operations who is skilled in strategic problem-solving, innovative thinking, strategic execution, and has a successful history of building impactful teams with great focus on operational excellence. This role is based in Addepar’s office in Pune, India! The Director of Data Operations will be a pivotal leader responsible for the end-to-end operational excellence, data quality, and timely delivery of our critical Alternatives Data. This global role demands a strategic thinker with a strong operational background, a deep understanding of financial data (specifically alternatives data), and a proven track record in driving technology transformation. The Data Operations group sits at the nexus of Addepar's activity and requires daily communications with financial data providers, clients, and other personnel across the company. The ideal candidate will inspire and lead a diverse team of data analysts and operators, fostering a culture of continuous improvement, innovation, and accountability. As the global leader in the Data Operations team, you will bring your expertise to drive key, strategic operations initiatives that unlock efficiency, deliver high quality data to clients and mitigate operational risk. You'll work closely with your team and Engineering & Products leaders to find opportunities to drive scale through automation, modern operator tooling and champion transformation of the Data Operations function. This position requires a strong people leader with a track record of working independently in a fast-paced environment. What You’ll Do Strategic Leadership: Develop and execute a strategic roadmap for Alternatives and Market data operations, aligning with Addepar's business objectives and corporate growth plans. Collaborate with senior leadership to understand the organization's evolving needs and ensure the data operations strategy is closely aligned with these goals. Provide thought leadership on industry trends and emerging technologies to drive innovation within the data operations function. Operational Management: Oversee the spectrum of operational workflows for alternatives data and market data feeds, ensuring smooth execution and rapid issue resolution. Maintain effective process controls to ensure quality standards, and organizational objectives and deliverables are achieved. Establish, monitor, and report on Service Level Agreements (SLAs) for data delivery, ensuring consistent and timely provision of accurate data to internal and external stakeholders. Implement robust KPI tracking, metrics and analytics to measure operational effectiveness, resource utilization, operations scalability, and cost-effectiveness Maturity and Optimization: Identify and seize opportunities for process optimization, automation and innovation, contributing to the evolution of Addepar’s Data Operations function and scaling impact globally. Collaborate with product and engineering teams to define and execute the technology roadmap for data operations, focusing on modernizing infrastructure, tools, and processes that improve data quality as well as increase operational efficiency Design and implement operational strategies that support the growing volume and complexity of alternatives and market data, ensuring scalability, resilience, and disaster recovery capabilities. Strategic-Tactical Balance: Operate comfortably at both the strategic level, influencing key decision-makers, and the hands-on level, actively engaging with data operations workflows to help review, manage, and/or address data inquiries and requests from clients and internal stakeholders. Roll up your sleeves when necessary to address tactical challenges and ensure successful operation. Stakeholder Collaboration: Collaborate closely with key stakeholders, including the other Data Operations teams, Go-to-market/services, Engineering, Product, IT, compliance and risk teams to ensure alignment and integration of data operations initiatives. Effectively communicate data operations status, challenges, and strategic initiatives to senior leadership and relevant stakeholders. People Management and Culture Mentor managers/leads and consistently promote knowledge sharing and best practices to all groups. Manage a global team, fostering a strong culture alongside achieving results: Balance driving performance with cultivating a high-performing, inclusive, and growth-oriented team culture. Lead by example, empowering team members to innovate and collaborate effectively, while ensuring accountability for measurable outcomes Oversee recruitment, onboarding, and training of new team members. Who You Are Minimum 18+ years of professional experience. Significant experience in data operations, data management, or a related field within the financial services or wealth tech industry. Proven experience in a senior leadership role.Ability to manage Sr.Managers and Managers in a matrixed environment. Extensive experience with Alternatives Data (e.g., Private Equity, Hedge Funds, Real Estate, Private Credit) is a must. Experience with Market Data (e.g., equities, fixed income, derivatives, pricing, corporate actions) is a nice to have. Proven experience using process automation, operational workflow re-engineering and continuous improvement to enhance operational efficiency and scalability by using modern tools and technologies. Demonstrated track record of improving data quality and operational efficiency. Strong project management and analytical skills with experience in leading change management Experienced with leading global teams, cross-functional and cross-regional projects, and learning and development initiatives. Outstanding communication and interpersonal skills for engaging with clients, external data partners, and internal team members and stakeholders. Familiarity with data visualization tools (e.g. Looker, Tableau, Power BI) Familiarity with various data technologies (e.g., SQL, Python, scripting languages, working with cloud data platforms) Ideally, you’ll have experience in working at not only financial services companies but also product/platform led businesses. Important Note - This role requires working from our Pune office at least 3 days a week (Hybrid work model)

About us Bain & Company is a global consultancy that helps the worlds most ambitious change makers define the future Across 65 offices in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition and redefine industries Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry, In 2004, the firm established its presence in the Indian market by opening the Bain Capability Center (BCC) in New Delhi The BCC is now known as BCN (Bain Capability Network) with its nodes across various geographies BCN is an integral and largest unit of (ECD) Expert Client Delivery ECD plays a critical role as it adds value to Bain's case teams globally by supporting them with analytics and research solutioning across all industries, specific domains for corporate cases, client development, private equity diligence or Bain intellectual property The BCN comprises of Consulting Services, Knowledge Services and Shared Services, Who you will work with BCN Customer COE, as part of Bains expert client delivery network, has the vision to lend expertise, speed and competitiveness to Bains Pricing, Commercial excellence, Marketing & Customer Experience projects through co-developing and delivering Pricing products, designing Go-to-Market Strategy Solutions and Improve customer experience effectively through client-specific analysis/solutions In the CoE, we develop products and deliver solutions that help clients identify and fulfil full potential across the entire value chain of sales and customer journey Also capturing value across from problem identification, solution designing, and implementation, to capability transfer, The CoE has fast-paced, dynamic environment with continuous innovation and learning We offer multitude of professional development opportunities for those who like to problem-solve in an analytical environment The COE provides a truly global experience with opportunity to work with experts, Bain teams and clients across the world in an inclusive, collaborative and fun-loving team culture There are also global transfer opportunities for high performers, What youll do As an Associate, you will be an integral part of the team, bringing specialized knowledge to pricing product(s) in development of pricing related IP/ tools as well as help in end client delivery, Would work under the guidance of the Pricing COE Project Leader or Manager, playing a key role in driving the teams overall output while developing product or serving clients by preparing presentations, data analysis and other initiatives, Expected to oversee and train a team of COE Analysts across the above effort and develop the next set of specialists, You will be 100% staffed on a specific project at a time Take responsibility for assigned work streams and generate hypotheses Effectively understand the work plan and execute it Brainstorm with the Project Leader on various aspects of case or IP work which ranges across scope definition, data cleaning, explorations, feature engineering, feature selection, modeling, building prototype, documentation of an algorithm and insights etc Possess or develop good working knowledge on analytical tools such as Python, R, SQL etc Identify and apply the relevant analytical tools for own work stream Ensure zero-defect analysis in own work stream ensuring key questions are answered in a timely manner Help in driving conversations through analytics, including, but not limited to Building dashboards Driving insights through data analysis Story-lining the deliverable to prove/disprove hypotheses Communicate data, knowledge and insight to the entire team Perform sound reality checks and recommend actionable solutions Train up and guide the team on technical and analytical aspects Provides feedback and coach Analysts on task execution and role Deliver clear and professional presentations to teams/case team/managers etc Consistently seek and provide meaningful and actionable feedback in all interactions; recognize different professional development needs in oneself and work towards it About you Work experience range in case highest qualification is undergraduate studies 2-5 years of hands-on experience in data operations, data analytics or consulting with pricing /marketing analytics exposure and strong academic records Work experience range in case highest qualification is postgraduate studies 0-3 years of hands-on experience in data operations, data analytics or consulting with pricing /marketing analytics exposure and strong academic records Candidates should possess good technical, analytical, communication and team skills, Prior experience with ETL, data analytics is important Working skills in Python is required Proficiency in R, SQL, Alteryx, Tableau will be preferred, Proficiency and experience in analytical tools (such as Alteryx, Tableau) will be preferred, What makes us a great place to work We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility We are currently ranked the #1 consulting firm on Glassdoors Best Places to Work list, and we have maintained a spot in the top four on Glassdoor's list for the last 12 years We believe that diversity, inclusion and collaboration is key to building extraordinary teams We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ and parents,

Job Purpose We are seeking a Data Operations Engineer to improve the reliability and performance of data pipeline. Successful candidates will work with researchers, data strategists, operations and engineering teams to establish the smooth functioning of the pipeline sourced from an enormous and continuously updating catalog of vendor and market data. Essential Skills and Experience B.Tech/ M.Tech/ MCA with 1-3 years of overall experience Proficient with Python programming language like as well as common query languages like SQL Experience with the Unix platform and toolset such as bash, git, and regex. Excellent English communication: Oral and Writing Experience in the financial services industry or data science is a plus Critical thinking to dive into complex issues, identify root causes, and suggest or implement solutions A positive team focused attitude and work ethic Key Responsibilities Support the daily operation and monitoring of the pipeline Triage issues in timely manner, monitor real time alerts while also servicing research driven workflows Improve the reliability and operability of pipeline components Solve both business and technical problems around data structure, quality, and availability Interact with external vendors on behalf of internal clients. Demonstrate high attention to detail, should work in a dynamic environment whilst maintaining high quality standards Key Metrics Core Python, Linux Good to have Perl or C++ PromQL Behavioral Competencies Good communication (verbal and written) Experience in managing client stakeholders

Lead and manage day-to-day data collection and delivery operations Drive operational strategy, efficiency, and team productivity Lead performance management, resource planning & team development Ensure high data quality and timely project delivery Required Candidate profile 12–20years’ experience, with 5+ years in leadership roles Background in data ops, sustainability, ESG or similar domains Proven ability to manage large teams and drive operational excellence

Grade Level (for internal use): 08 Grade Level (for internal use): 8 Job Title: Lead Data Analyst Functional Domain: Enterprise Data Organization Job Overview: The Lead Data Analyst will play a critical role in the CCST team, working in partnership with the Quality Assurance team. The role involves managing client inquiries, analyzing banking datasets, and leveraging advanced data manipulation skills. This position requires proficiency in SQL, and experience with Python, Salesforce, and Power BI is preferred. The successful candidate will thrive in a global team environment, demonstrating a strong commitment to data integrity and client satisfaction. Key Responsibilities: Client Management & Inquiry Resolution: Act as the primary contact for managing and resolving client inquiries, ensuring exceptional service and satisfaction. Data Analysis & Insights: Analyse client questions to uncover actionable insights that support strategic business decisions. Quality Assurance Participation: Participate in the execution of sampling workflow and quality assurance initiatives to enhance data accuracy and reliability. Data Visualization: Design and develop intuitive Power BI dashboards to facilitate effective data visualization for stakeholders. Advanced Data Manipulation: Employ advanced SQL and Python skills for comprehensive data manipulation and analysis, driving product enhancement. Cross-Functional Collaboration: Collaborate with cross-functional teams to ensure data initiatives align with organizational objectives, fostering a global mindset. Shift Adaptability: Adapt to varying shifts as required, ensuring consistent and reliable support across diverse time zones. What's In It for You: Collaborative Environment: Work closely with client-facing teams to enhance service delivery and client satisfaction. Quality Focus: Engage with the Quality Assurance team to ensure data accuracy and integrity across all analyses. Career Growth: Opportunity to progress within the organization by leveraging strong technical knowledge and expertise. Skill Development: Enhance your skills in data analysis, visualization, and client management through continuous learning and development. Global Exposure: Be part of a diverse team that operates across different time zones, promoting a global mindset and cultural understanding. Basic Required Qualifications: Bachelors degree in Data Science, Computer Science, Finance, or a related field. Proven experience working with banking datasets and managing client inquiries. Proficiency in SQL for data analysis and manipulation. Ability to work in varying shifts to accommodate global business needs. Key Soft Skills: Strong attention to detail and analytical thinking. Excellent communication skills, both written and verbal. Ability to work collaboratively in a team-oriented environment. Flexibility and adaptability to changing work conditions and priorities. Additional Preferred Qualifications: Experience with Python for advanced data analysis and automation. Familiarity with Salesforce for client relationship management. Proficiency in Power BI for creating impactful data visualizations. Demonstrated ability to quickly learn and apply new technologies. Previous experience in a client-facing role within the financial sector.

The successful individual will be expected to work in a team of professionals and be able to be commercial, critical creative whilst ensuring the highest level of risk management. Data entry, data cleansing, checking and standardization for investment date into relevant platforms Identify and resolve historical and current data breaks Implement daily monitoring and governance models to ensure timely, complete and accurate data capture across the investing lifecycle Analyse root causes and implement logic to eliminate reoccurrence Synthesize data into lists, reports and visualizations Create data lineage Collaborate with cross functional teams to improve data infrastructure Establish gating controls, management reporting and escalation protocols Leverage your skills to decompose complex structured transactions and propose creative, robust operational solutions Complete deal closing checklist to ensure all required documents collected and appropriate steps taken for successful closure and completion of transaction Face off with senior stakeholders and drive priorities Exhibit excellent judgement problem-solving skills, particularly in the context of a new team with or without existing precedents BASIC QUALIFICATIONS Bachelors degree with a minimum of three years of experience in financial services, preferably in a data operations role. Proven analytical skills, problem solving ability, and a control mentality paired with meticulous attention to detail Aptitude for building relationships and ability to communicate complex issues to a wide array of internal clients with differing levels of product experience Self-motivated and proactive team player, who takes ownership and accountability of projects, has strong organizational skills as well as the ability to effectively manage competing priorities Flexible and able to work well under pressure in a team environment Strong knowledge or prior experience in an Operations role

About the Role: Grade Level (for internal use): 07 The Team The KY3P Managed Services team is responsible for supporting clients in managing third-party risk through consistent, scalable, and regulation-aligned processes. Our team thrives on collaboration, precision, and proactive communication, working across a wide variety of regulatory and compliance frameworks. We value integrity, efficiency, and a client-first mindset, making us a trusted partner to leading financial institutions worldwide. The Impact As an Analyst, you will play a vital role in helping clients maintain compliance with financial regulations and mitigate risks tied to third-party relationships. Your work directly supports operational resilience and transparency in the financial ecosystem, contributing to our clients regulatory adherence and reputational integrity. Whats in it for You Work with global clients and gain exposure to high-profile financial institutions Build expertise in regulatory compliance, third-party risk management, and operational due diligence Develop your professional skillset through ongoing training and mentorship Join a collaborative, fast-paced environment that values curiosity and continuous improvement Responsibilities Coordinate and conduct project-specific tasks in alignment with Third Party Risk Management processes Analyze and report on large datasets using Microsoft Excel and other tools to support client objectives Engage in regular, professional communication with internal and external stakeholders Participate in client meetings to discuss validation progress and resolve queries Ensure accuracy and attention to detail across all deliverables and compliance requirements Adhere to company data protection, confidentiality, and regulatory policies What Were Looking For Qualifications Bachelors degree required 13 years of experience in customer service or financial data operations Strong proficiency in Microsoft Excel; experience with large datasets preferred Familiarity with Third Party Risk Management, compliance, or banking operations is a plus Soft Skills Excellent communication skills, both written and verbal Strong analytical and problem-solving abilities Detail-oriented and highly organized with a commitment to accuracy Ability to work independently and collaboratively in a fast-paced environment About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, andmake decisions with conviction.For more information, visit www.spglobal.com/marketintelligence . Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- OPRTON203 - Entry Professional (EEO Job Group)

About the Role: Grade Level (for internal use): 08 The Team Data Quality Measurement teams execute analyses and implement controls to ensure information quality for the associated client group. A key goal of this job family is to ensure that the data sets used by the user group is of high quality and considered to be sufficient, timely and reliable considering the standards that are set by the business or regulating entity/industry group, if applicable. The team consists of highly trained data quality professionals, who understand the business and who strive to deliver outstanding client experience, while helping to mitigate regulatory and legal risk exposure to the organization. Responsibilities and Impact Engages with stakeholders to define requirements and usage needs for the measurement of data quality for a specific region or part of a business. Undertakes ownership for the on-going delivery of data quality measurement activities with a concentrated focus on a specific region or part of a business. On identification of data quality issues, performs analysis and escalates for next level review to remediate the issue and achieve high quality data. Performs testing of defined use cases on new technology and deliver results on data tasks performed; identifies sources or errors. Performs basic root cause analysis on smaller self-contained data analysis tasks that may be related to assigned projects or other unfamiliar projects. Delivers testing of defined use cases as part of data audits on new data vendors. Delivers data quality processes to assure S&P Ratings compliance against regulatory requirements. Performs data queries to identify and drive correction of data inconsistencies. Functional and Business Knowledge Applies basic knowledge of data development lifecycle, theories and work tools developed through past experience to best complete assignments. Basic knowledge of the business and the data quality objectives for his/her team. Problem Solving Identifies and solves problems in data domain of primary operation. Ability to analyze a complex business problem or use case and propose clean, objective solutions Ability to listen to & dissect a business problem and translate into objective technical requirements with minimal interaction with business use Passion for problem solving/new technologies Interactions* Works within own team; may interact with other related teams Works with stakeholders in data domain of primary operation to understand processes and procedures Communicates updates on data quality within own team Typical Scope & Impact Contributes to the achievement of personal and team objectives. Minimum and Preferred Education What Were Looking For Basic Required Qualifications Bachelor's degree or equivalent experience. An S&P Global employee in a similar position would typically have 3-4 years of experience in data operations, preferably in a data quality role. Proficiency in Data Visualization, Data Analytics, and tools like Advanced Excel, SQL, Oracle database, Power BI, ETL, Python. General understanding of financial and market data. General understanding of data and data flows Ability to deliver prioritized tasks on time Willingness to ask questions and escalate where concerns are not resolved Additional Preferred Qualifications Experience in data quality roles is an advantage. Ability to work effectively within a large, global team. Strong written and verbal communication skills. Attention to detail and problem-solving capabilities. About S&P Global Ratings At S&P Global Ratings, our analyst-driven credit ratings, research, and sustainable finance opinions provide critical insights that are essential to translating complexity into clarity so market participants can uncover opportunities and make decisions with conviction. By bringing transparency to the market through high-quality independent opinions on creditworthiness, we enable growth across a wide variety of organizations, including businesses, governments, and institutions. S&P Global Ratings is a division of S&P Global (NYSESPGI). S&P Global is the worlds foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the worlds leading organizations navigate the economic landscape so they can plan for tomorrow, today.For more information, visit www.spglobal.com/ratings Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. S&P Global has a Securities Disclosure and Trading Policy (the Policy) that seeks to mitigate conflicts of interest by monitoring and placing restrictions on personal securities holding and trading. The Policy is designed to promote compliance with global regulations. In some Divisions, pursuant to the Policys requirements, candidates at S&P Global may be asked to disclose securities holdings. Some roles may include a trading prohibition and remediation of positions when there is an effective or potential conflict of interest. Employment at S&P Global is contingent upon compliance with the Policy. ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), DTMGOP203 - Entry Professional (EEO Job Group), SWP Priority Ratings - (Strategic Workforce Planning)

Overview MSCI Data Collection team collects 2.5K raw data points across 70K companies from 300 public sources, representing 1.7+M news articles and 1M documents per year (filings, AGM, etc) leading to 20MN data updates per year. The team provides publicly disclosed raw input data used in different products models and indexes. We focus on applying QA on input data, extracted from filings, news, websites, NGO, or received from various data providers. MSCI Data Collection team comprises of 250+ internal team size (review/validation) and 600+ external team (vendors) to support collection. On a day-today basis, the team manages data production, coordinates with vendors, product teams, clients, and corporates. The team is responsible for quality review and ensures that data collected is up to date and adheres to data collection guidance and methodology defined by MSCI. Moreover, with the team’s consistent drive to innovate and leverage technology, the Data Acquisition and Collection team initiates and/or collaborates with other teams on programs related to data quality and process improvements, including but not limited to automation, workflow streamlining projects, and building data QA models. Responsibilities As a member of Data Collection team, you are expected to have a strong interest in general Environment, Social, Governance, Climate, and EU Regulation trends and an eye for detail on data quality. As a team leader, you will be responsible for overseeing a team of analysts based across locations, overseeing production and overall data quality, and managing vendors and stakeholders. To help you succeed in your role, you will have access to different learning and development opportunities, such as on leadership, stakeholder management, content, and other functional or technical trainings. Your specific responsibilities shall include: Help nurture a team of young and experienced professionals, support them in their professional growth and development while embracing our values of diversity and inclusion; Manage team production and capacity planning. Identify resource availability for production and other product support processes. Create production and resourcing proposal for new projects and initiatives; Lead the team into delivering top quality data aligned with MSCI methodology, service level agreements, and regulatory requirements; Drive process improvements to ensure consistent data quality and efficiency, such as a utomation of data quality diagnostics by developing a new system/tool that will enable quality assessment of data without manual intervention; Lead initiatives on scaling up operations, process changes, business priorities, and client expectations; Collaborating to working committees, projects, or perform other tasks as deemed necessary by the business; Work with vendor teams on quality (timeliness and accuracy) expectations and metrics. This also includes overseeing the vendor budget allocation for your product; Facilitate steering calls, regular stakeholders, and senior leader meetings to report on key performance metrics and initiatives; Escalate cases and challenges as necessary; Respond to client and issuer queries and be at the forefront representing the team on corporates and client engagements. Qualifications 15+ Years of experience in data collection, research, and team management; ESG or regulatory related experience would be an added advantage but is not a must. Must have: Good command over excel tools and functionality dealing with volume of data Strong skills (written and oral), proficiency in creating presentations, data analysis and excellent research and analytical skills Experience in issuer/corporate relation and client communication Experience working on a global team in an international company is preferred Comfortable working in a team environment across hierarchies, functions, and geographies Strong interpersonal skills and ability to work with people in different offices and time zones Sound knowledge about equities or financial markets in general and knowledge on the company disclosures, filings, public company reporting including 10-Ks and annual reports Good to have: Exposure to pandas or tools like Power BI and jupyter notebooks 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. 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

Overview The Corporate Governance Data Analyst shall provide support to projects and initiatives which will ultimately create efficiencies in the Governance Operations team. Responsibilities • Searching and processing corporate governance information on MSCI’s CG universe using acceptable methods, techniques and sources • Developing subject matter expertise and taking ownership of corporate governance knowledge within the organization • Liaising and communicating effectively with other groups such ESG Research, Controversies and others to improve understanding of corporate governance and data collection methodologies • Conducting frequent research for the purpose of procuring, verifying and processing data by browsing through various financial, exchange and government regulator websites and materials as well as corporate governance databases. Qualifications Good judgment in assessing available information and accurate encoding of such data as per MSCI methodology • Excellent oral and written communication skills in English Strong analytical and problem-solving skills, with clear attention to detail Ability to prioritize and work under tight deadlines at least a Bachelor’s degree in Finance, Economics, Accounting, Company Law, or similar field of study, with at least three to four years' experience in a managerial role Candidates with prior experience with ESG, specifically corporate governance data research and analysis will be prioritized. 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. 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

Key Responsibilities: 1. Call Monitoring & Performance Management: - Monitor inbound and outbound calls to ensure quality, compliance, and customer satisfaction. - Evaluate agents based on key metrics such as AHT (Average Handle Time), conversion rates, and success rates of calls. - Provide regular feedback and coaching to agents to improve performance and customer service delivery. 2. Agent Efficiency & Development: - Track and analyze agent performance to identify areas for improvement. - Work closely with agents to implement training plans and ensure optimal performance. - Provide consistent and constructive feedback to enhance agent skills and knowledge. 3. Performance Metrics & Reporting: - Analyze performance data to assess team efficiency, AHT, call conversions, and overall success rates. - Generate regular performance reports and present findings to senior management. - Recommend and implement strategies to improve operational efficiency and effectiveness. 4. Roster & Shift Planning: - Develop and manage the rostering and shift planning for call center agents to ensure adequate staffing levels. - Ensure optimal staffing during peak hours and adjust schedules based on demand. - Handle shift changes, leave requests, and absenteeism to minimize operational disruptions. 5. Process Optimization & Continuous Improvement: - Work closely with the operations team to continuously identify and implement process improvements to enhance team performance. - Lead initiatives to reduce AHT while maintaining quality customer service and improving conversion rates. - Conduct root cause analysis on underperformance or issues and develop strategies to resolve them. Qualifications & Skills: Education: - Graduate degree (Bachelor's or equivalent) in any field. Experience: - Minimum of 2-3 years of work experience in a similar role, preferably within a call center or customer service environment. - Proven experience in managing call center operations and understanding of key performance metrics (AHT, conversion rates, etc.). Skills & Competencies: - Strong proficiency in Excel and Google Sheets (data analysis, reporting, creating dashboards). - In-depth understanding of call center metrics, including AHT, conversion rates, and agent performance. - Excellent analytical and problem-solving skills to identify issues and implement solutions. - Strong communication and coaching abilities to manage and motivate a team of agents. - Experience in roster planning and shift scheduling to optimize staffing. - Ability to thrive in a fast-paced, high-pressure environment while maintaining a focus on quality. - Strong organizational skills with the ability to multitask and prioritize effectively.