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Goldman Sachs

Engineering-L2-Bengaluru-Analyst-Data Governance

Goldman Sachs · Bengaluru, Karnataka, India

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  • On site
  • Full-time
  • $120,000 / year
  • Bengaluru, Karnataka, India

Job highlights

  • Shape data future at global firm.
  • Enhance data quality and governance.
  • Drive data testing and AI innovation.
  • Collaborate with global teams.
  • Influence senior stakeholders on data strategy.

About the role

About Goldman Sachs Engineers

At Goldman Sachs, our Engineers don't just make things – they make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.

About the Role

If you’re passionate about transforming how a global firm understands, governs, and activates its data, this role puts you right at the center of that mission. As a Data Governance Analyst, you won’t just execute processes — you’ll help shape the future of data across the firm, driving initiatives that directly influence business decisions, client experiences, regulatory outcomes, and strategic innovation.

About the Data Governance Office

The Data Governance Office is a global, firmwide organization dedicated to ensuring that data is trusted, well managed and strategically leveraged. We collaborate closely with divisional stakeholders to provide transparency into how data flows through the firm — from creation to transformation to consumption — and how it can be strengthened at every stage through data quality controls. Our work enables the business to reduce duplication, respond faster to opportunities, elevate client experiences, and meet rapidly evolving regulatory expectations.

Who We Look For

Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. The firm is investing significantly to enhance data quality across the firm, to enable increased data commercialization, improve client experience, and ensure high quality of data sent to other external and internal parties.

Your Impact

As a Member Of The Team, You Will Be a Key Driver Of Our Data Quality Assurance Program, Influencing Senior Stakeholders And Shaping Data Quality Strategies As Part Of The Team’s Initiatives. You Will Deliver Real Impact By:

  • Championing firmwide data governance, partnering with Divisional Data Offices to promote the adoption of policies and standards.
  • Leading transformative work on end-to-end data testing for key deliverables.
  • Innovating with AI and automation to scale data testing capabilities and unlock new efficiencies.
  • Defining and implementing end-to-end data testing metrics reporting.
  • Building consensus across global teams, aligning with stakeholders on data quality priorities.
  • Working with divisions to monitor progress, ensuring that program goals are delivered.

How You Will Fulfill Your Potential

You won’t just execute — you’ll shape the future of how the firm governs its data. You will:

  • Drive the execution of the data governance framework, policies, standards, and processes.
  • Guide teams on implementing the governance requirements and best practices.
  • Lead working groups to improve the end-to-end data testing processes.
  • Execute end-to-end testing to assess data accuracy.
  • Create reference materials that document the testing activities.
  • Provide analytics that enable data consumers and producers to drive remediation efforts.
  • Communicate progress to senior stakeholders and within the team.
  • Strengthen your understanding of data and the underlying businesses that use it.

Basic Requirements

  • Bachelor’s degree with a minimum of 2 years of experience in financial services.
  • Proficient in executing data queries and performing data analysis.
  • Communicate with influence – from working groups to senior stakeholders.
  • Demonstrate effective analytical, critical thinking, be detail-oriented and have excellent organizational skills.
  • Build strong relationships, collaborate across functions, and drive change.
  • Be extremely proactive and work well in a collaborative environment, demonstrating excellent interpersonal skills.

Preferred Qualifications

  • Experience in data / transaction testing, governance, controls testing, or auditing.
  • Familiarity with financial regulatory reporting.

Key skills/competency

  • Data Governance
  • Data Quality
  • Data Analysis
  • SQL
  • Financial Services
  • Regulatory Reporting
  • AI/Automation
  • Stakeholder Management
  • Testing
  • Problem-Solving

Skills & topics

  • Data Governance
  • Data Quality
  • Data Analyst
  • Goldman Sachs
  • Financial Services
  • Bengaluru
  • SQL
  • Testing
  • Regulatory Reporting
  • AI

How to get hired

  • Tailor your resume: Highlight your 2+ years of financial services experience and data analysis skills.
  • Showcase your impact: Quantify achievements in data governance, quality assurance, or testing.
  • Demonstrate collaboration: Emphasize experience building relationships and driving change across functions.
  • Prepare for technical questions: Be ready to discuss data queries, analysis, and testing methodologies.
  • Understand the culture: Research Goldman Sachs' commitment to data and innovation.

Technical preparation

Practice SQL for data querying.,Review data analysis techniques.,Understand data governance frameworks.,Familiarize with testing methodologies.

Behavioral questions

Describe a time you drove change.,How do you influence senior stakeholders?,Share an experience collaborating globally.,How do you handle detailed analysis?

Frequently asked questions

What are the key responsibilities of a Data Governance Analyst at Goldman Sachs?
As a Data Governance Analyst at Goldman Sachs, you will champion firmwide data governance, lead end-to-end data testing initiatives, and innovate with AI and automation to enhance data quality and efficiency. You will also define reporting metrics, build consensus among global teams, and communicate progress to senior stakeholders.
What experience is required for the Data Governance Analyst role at Goldman Sachs?
A Bachelor's degree and a minimum of 2 years of experience in financial services are required. Proficiency in executing data queries, performing data analysis, and strong communication, analytical, and organizational skills are essential.
What are the preferred qualifications for this Data Governance Analyst position?
Preferred qualifications include experience in data/transaction testing, governance, controls testing, or auditing, as well as familiarity with financial regulatory reporting. These experiences can further strengthen your candidacy.
How does Goldman Sachs leverage AI and automation in data governance?
Goldman Sachs is innovating with AI and automation to scale data testing capabilities, unlock new efficiencies, and improve overall data quality. This role is central to driving those advancements.
What is the Data Governance Office's main objective at Goldman Sachs?
The Data Governance Office aims to ensure that data is trusted, well-managed, and strategically leveraged across the firm. They work to provide transparency into data flow and implement data quality controls to support business decisions and regulatory compliance.
How can I demonstrate my ability to drive change in my application for the Data Governance Analyst role?
Highlight instances where you have collaborated across functions, built strong relationships, and successfully influenced stakeholders to adopt new policies or processes, particularly in data-related initiatives.
What kind of analytical skills are needed for this Data Governance Analyst job?
You'll need strong analytical and critical thinking skills to execute data queries, perform data analysis, identify data inaccuracies, and provide analytics for remediation efforts. Detail-orientation is also crucial.