Senior Data Analyst

nasdaq· NOIP Nasdaq Corporate Solutions (India) Private Limited
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📍 Bangalore-AffluenceFull time
Full timeNOIP Nasdaq Corporate Solutions (India) Private Limited

About this role

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.

Frequently Asked Questions

Is the salary disclosed for the Senior Data Analyst position at nasdaq?
The salary for this Senior Data Analyst role at nasdaq is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Senior Data Analyst position at nasdaq located?
This Senior Data Analyst role at nasdaq is based in Bangalore-Affluence. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Senior Data Analyst role at nasdaq full-time or part-time?
This is listed as a Full time position. It is posted as a Senior Data Analyst role in the NOIP Nasdaq Corporate Solutions (India) Private Limited department at nasdaq.
Which team or department does the Senior Data Analyst at nasdaq belong to?
This Senior Data Analyst position is part of the NOIP Nasdaq Corporate Solutions (India) Private Limited department at nasdaq. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Senior Data Analyst position at nasdaq?
Click the "Apply Now" button on this page. You will be redirected to nasdaq's official application portal hosted on workday where you can submit your application directly.
When was the Senior Data Analyst job at nasdaq posted?
This Senior Data Analyst position at nasdaq was posted on Aug 10, 2026. Apply as soon as possible — early applications are often reviewed first.
Senior Data Analyst
nasdaq
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