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Job Description

Job Description: Data Analyst

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About Us

Flexi Roundtables is India’s fastest-growing leadership engagement platform, curating invite-only experiences for Top 1% leaders across technology, BFSI, manufacturing, and GCCs. With a community of 400K+ leaders and clients like AWS, Snowflake, and global enterprises, we’re building the gold standard for business conversations in India and beyond.

Role Overview

We’re looking for a Data Analyst who thrives on turning complex data into sharp insights that drive decision-making. You’ll be the backbone of how we measure, analyze, and scale the impact of our roundtables, leader communities, and sponsorship ecosystem.

What You’ll Do
  • Collect, clean, and analyze data from multiple sources (LinkedIn, CRM, event registrations, sponsor reports, feedback forms, etc.).
  • Build dashboards and reports that track leader engagement, sponsor ROI, and event performance.
  • Identify patterns in leader participation, content virality, and market trends to support strategy.
  • Work closely with leadership, content, and sales teams to provide actionable insights.
  • Own the data pipeline—ensuring data accuracy, consistency, and storytelling.
  • Experiment with predictive models for leader turnout, sponsorship success, and community growth.
What We’re Looking For
  • 2–4 years of experience in data analytics, preferably in B2B, SaaS, events, or community businesses.
  • Proficiency in SQL, Excel/Google Sheets, and BI tools (Tableau/Power BI/Looker Studio).
  • Strong ability to translate raw data into simple, visual insights.
  • Hands-on experience with data cleaning and handling large datasets.
  • Curiosity to go beyond the numbers—ask the right questions and challenge assumptions.
  • Bonus: Knowledge of LinkedIn analytics, HubSpot/Zoho CRM, or event-tech platforms.
Why Join Us
  • Be part of a 

    Top 1% Leaders

     ecosystem trusted by global enterprises.
  • Work directly with leadership on high-visibility projects that shape India’s leadership landscape.
  • Freedom to experiment with new data models and frameworks.
  • A culture built on clarity, curiosity, and scaling impact.


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