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skillzinc · Analytics

Senior Manager Analytics

Where
Bengaluru, Karnataka, India
Experience
3+ yrsstated in the description
Pay
Not stated
Posted
First seen by Unlisted 14 Oct, 08:03 UTC
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About the Company

If you want to build, develop, and see your impact, join Skillz and level up your Career!

Skillz, the first publicly-traded mobile eSports platform that hosts billions of casual mobile gaming tournaments for millions of players worldwide, is revolutionizing the gaming industry. By fostering social competition within games, the Skillz platform helps developers build multi-million dollar franchises by enabling real-money activity in their games and providing operational support while connecting players through fair, enjoyable, and meaningful competition.

At Skillz, we understand the thrill of achievement and the satisfaction of overcoming challenges. Want to join a team made up of alums from Apple, Amazon, Google, Microsoft, Tesla, Twitter (X), Roblox, Zynga, Samsung, Lyft, EA, Riot, Nexon, Gameskraft, PlayStation, Unity, Scopely, Tinder, Intel, Deloitte, EY, Twitch, DraftKings, Wynn Resorts and more? Learn more to see if Skillz is the right fit for your next career move!

 

Why Skillz

 

About the Role 

We're looking for a Senior Analytics Manager to help shape the future of our products through data-driven decision making. In this role, you'll partner closely with Product, Engineering, Design, and Leadership to uncover insights, identify opportunities, and influence strategic decisions. You'll play a key role in understanding user behavior, measuring product performance, and ensuring that product investments are backed by meaningful analysis.

This is a high-impact role for someone who enjoys solving complex business problems, thrives in a fast-paced environment, and is passionate about turning data into actionable insights that drive exceptional customer experiences and business growth.

 

Key Competencies

 
  1. Experimentation craft. Strong fundamentals in A/B testing — hypothesis framing, metric selection, power analysis, cohort-level lift analysis, and disciplined readouts. Knows the difference between statistical and practical significance and is comfortable challenging poorly designed experiments.

  2. User-level behavioral insight. Reasons about individual user journeys, not just aggregate metrics. Can identify meaningful behavioral archetypes from raw activity, distinguish correlation from causation, and connect what users do to what the product offers.

  3. Roadmap influence and opportunity sizing. Translates analysis into prioritized recommendations. Comfortable telling a PM "this won't move the metric you care about" before the work is built. Can size the financial impact of an opportunity and stack-rank it against other bets.

  4. Strong technical foundation. Expert in SQL on large datasets. Comfortable with Python for analysis and modeling. Fluent in BI tools (Tableau or equivalent). Comfortable with regression, classification, and basic ML for propensity, LTV, or churn prediction.

  5. Agentic AI fluency. Has a real point of view on AI tooling for analytics. Can prompt and orchestrate agents effectively, design human-in-the-loop workflows, and critically evaluate agent output. Treats agent output as a junior analyst's first draft — useful but always verified.

  6. Communication and executive presence. Writes for executives — leads with the answer, not the method. Can compress a complex analysis into a 3-bullet recommendation. Calibrated about uncertainty. Updates publicly when wrong.

  7. Domain judgment. Knows when to stop analyzing. Recognizes when 80% confidence with speed beats 95% confidence with delay. Pushes back on stakeholders constructively.

  Experience
  1. 10+ years of analytics experience, with at least 5 years in product analytics, growth analytics, or a closely related function with 3 years experience in managing a Analytics team/pod

  2. Demonstrated ownership of high-impact analyses that influenced a product roadmap or strategy decision.

  3. Hands-on experience designing and measuring product experiments at scale — not just reading dashboards.

  4. Proven background in a transactional or two-sided marketplace product (gaming, fintech, e-commerce, marketplaces). Experience with payment funnels or fraud analytics is strongly preferred.

  5. Strong SQL and BI background; Python or equivalent for analysis and modeling.

  6. Bonus: hands-on experience building or deploying agent-based or AI-augmented analytics workflows.

  7. Bonus: experience in skill-based gaming, sports betting, or real-money product environments.

 

Location: Onsite - Bengaluru, Karnataka

Travel Requirement: Less than 10% 

#LI-Onsite  #LI-

Skillz embraces diversity and is proud to be an equal opportunity employer. As part of our commitment to diversifying our workforce, we do not discriminate on the basis of age, race, sex, gender, gender identity, color, religion, national origin, sexual orientation, marital status, citizenship, veteran status, or disability status, and we operate in compliance with the San Francisco Fair Chance Ordinance.