Nasdaq

Senior Data Analyst

Nasdaq · Bengaluru, Karnataka, India

Financial Services · 1,001-5,000 employees

20 h ago
Mid (2-5 yrs) Full-time India
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About the role

The Senior Data Analyst will maintain and enhance a comprehensive database of institutional investors while driving data quality initiatives and automation. They will analyze large datasets to provide actionable business insights and collaborate with cross-functional teams to support strategic objectives.

What they look for

SQL Power BI Data analysis Data management Research Automation AI tools Snowflake Databricks GitHub Financial markets Data quality Stakeholder engagement Reporting Dashboards Project coordination

Requirements

Candidates must have 3 to 4 years of experience with SQL, Power BI, and AI-powered data tools like Snowflake or Databricks. A background in the institutional investment industry is highly preferred, along with strong analytical and research capabilities.

Benefits

Annual monetary bonus Employee stock purchase program Nasdaq stock discount Health insurance program Flexible working schedule Hybrid work Flex day program Internal mentorship program Online learning resources CFA or CAIA certification support

Full description

Nasdaq eVestment is seeking a passionate, analytical, and detail-oriented Senior Data Analyst to join our growing Key Contacts Team in Bangalore. In this role, you will be instrumental in maintaining, enhancing, and scaling one of the industry's most comprehensive databases of institutional investors, consultants, and wealth management professionals.

You will drive data quality initiatives, lead complex research efforts, deliver business-critical insights, and help shape the future of our data operations through the application of AI and automation. This position offers a unique opportunity to combine financial industry knowledge, data analysis, technology, and stakeholder engagement to support strategic business objectives across Nasdaq eVestment.

We're looking for a motivated professional with experience in research, data management, and analytical problem solving who thrives in a collaborative environment and is passionate about financial markets, data quality, and continuous improvement.

Role Responsibilities :

  • Conduct in-depth research across institutional investors, consultants, RIAs, family offices, endowments, foundations, pension funds, and other investment organizations to identify and maintain key investment decision-makers and influencer relationships.
  • Ensure the accuracy, completeness, and integrity of key contact datasets by performing ongoing data validation, quality assurance, and enrichment activities.
  • Lead and support data quality initiatives designed to improve coverage, efficiency, scalability, and overall client value.
  • Leverage AI-powered technologies and modern data tools—including Snowflake, Power BI, Databricks, GitHub, Claude, Microsoft Copilot, and other emerging platforms—to streamline workflows, find opportunities for automation, and improve operational performance.
  • Analyze large datasets to identify trends, coverage gaps, research opportunities, and actionable business insights!
  • Prepare and deliver contact-related reporting, presentations, dashboards, and analytical summaries for internal customers, senior leadership, and client-facing teams.
  • Collaborate closely with Data, Product, Revenue, Marketing, and Client Success teams to understand business needs and translate them into data-driven solutions.
  • Serve as a domain expert on institutional investment contacts, industry structures, firm hierarchy, and key decision-making personas!
  • Support the oversight, training, and day-to-day coordination of contractor resources to ensure quality standards, productivity expectations, and project objectives are met.
  • Investigate and resolve complex data issues, customer concern requests, and customer inquiries while proactively finding opportunities for process improvement.
  • Document research methodologies, data standards, and best practices to promote consistency and operational excellence across the team.
  • Act as a trusted partner to internal customers by providing guidance on data interpretation, methodology, and industry trends.

 

We expect you to have:

  • Experience 3 to 4 years
  • Experience using SQL and PowerBI
  • Experience with AI data tools such as Snowflake, Databricks or GitHub
  • Experience with eVestment or with the Institutional investment industry, in general, (e.g. with an asset manager, consultant, investor, or financial data provider) is a plus

 What do we offer you?

  • Annual monetary bonus.
  • An opportunity to become a Nasdaq shareholder  
  • Employee Stock Purchase Program Nasdaq stocks with a discount  
  • Health Insurance Program
  • Flexible working schedule and hybrid way of work  
  • Flex day program (up to 6 paid days off a year) in addition to standard vacations and holidays  
  • Internal mentorship program – get a mentor or become one  
  • Wide selection of online learning resources, e.g., Udemy  
  • A CFA or CAIA certification

It would be great if you have (Preferred Qualifications)

  • Experience with eVestment or with the Institutional investment industry
  • A CFA or CAIA certification

Come as You Are

Nasdaq is an equal opportunity employer. We welcome applications from candidates of all backgrounds and identities.

We are committed to fostering an inclusive workplace where diverse perspectives, experiences, and identities are valued and celebrated.

We ensure that individuals with disabilities are provided with reasonable accommodation throughout the hiring process.