Senior Manager Analytics
Bengaluru, Karnataka, India
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingWe're looking for a Senior Analytics Manager to help shape the future of our products through data-driven decision making.
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.
Design and read out A/B tests and product experiments
Analyze user behavior and identify behavioral archetypes from raw activity
Turn analysis into prioritized roadmap recommendations with financial sizing
Partner with Product, Engineering, Design and Leadership on strategic decisions
From the employer’s posting
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.
Hands-on experience designing and measuring product experiments at scale
Can identify meaningful behavioral archetypes from raw activity
Translates analysis into prioritized recommendations.
partner closely with Product, Engineering, Design, and Leadership to uncover insights
What you’ll bring
All qualificationsCore experience
- 10+ years of analytics experience, including 5+ in product or growth analytics
- 3+ years managing an analytics team or pod
- Expert SQL on large datasets; comfortable with Python and BI tools like Tableau
- Background in transactional or two-sided marketplace products
Preferred experience
- Experience with payment funnels or fraud analytics is strongly preferred.
Qualification wording
10+ years of analytics experience, with at least 5 years in product analytics
3 years experience in managing a Analytics team/pod
Expert in SQL on large datasets. Comfortable with Python for analysis and modeling. Fluent in BI tools (Tableau or equivalent).
Proven background in a transactional or two-sided marketplace product
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.
Tools in this posting
- Python
- SQL
- Tableau
Source — Tool mentions in context
- 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. - 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. - 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.
- 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. - Strong SQL and BI background; Python or equivalent for analysis and modeling. - Bonus: hands-on experience building or deploying agent-based or AI-augmented analytics workflows.
About Skillz
If you want to build, develop, and see your impact, join Skillz and level up your Career!
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us 10 days ago, still listed, and not a repost of an earlier listing.
- Status in our records
- Live
- First seen by us
- Oct 15, 2026 · 10 days ago
- Recorded sightings
- 10
- Last seen by us
- Oct 25, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Your next step
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Job description
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
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Culture of Impact: Join a united team of builders, creators, innovators, and entrepreneurs driven by the desire to win. At Skillz, we create value, obsess over our product, and make a difference in the world.
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Comprehensive Benefits: Enjoy peace of mind with our comprehensive benefits package, which includes 100% coverage for medical, dental, and vision expenses for both you and your dependents. Additionally, take advantage of our 401K matching, equity incentives, pre-tax benefit options, and more.
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Wellness Support: Enhance your well-being with our array of wellness initiatives, including meditation and mental health resources, physical fitness coaching and classes, family planning assistance, health and parenting guidance, virtual therapy sessions, and more.
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Time off: We offer competitive paid time off (PTO) & company holidays to help you recharge and pursue your passions.
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Las Vegas Headquarters: Skillz strongly believes in a five-day a week, collaborative office environment at our 36,000+ square foot headquarters. Enjoy free breakfast and catered lunches, snacks, a full-size gym with showers, commuter benefits, insurance, team bonding events and many more.
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Recognized Success: Skillz has earned recognition as one of Fast Company's Most Innovative Companies, CNBC's Disruptor 50, San Francisco Business Times' Best Places to Work, Forbes' Next Billion-Dollar Startups, and the #1 fastest-growing company in America on the Inc. 5000 list, and many more.
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Development Opportunities: We hold our employees to high standards while providing them with professional growth opportunities. We operate like a startup, and encourage all of our employees to collaborate and voice feedback about our product and ways we can improve as a business. We believe in never settling, and that also pertains to your growth.
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
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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.
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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.
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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.
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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.
-
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.
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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.
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Domain judgment. Knows when to stop analyzing. Recognizes when 80% confidence with speed beats 95% confidence with delay. Pushes back on stakeholders constructively.
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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
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Demonstrated ownership of high-impact analyses that influenced a product roadmap or strategy decision.
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Hands-on experience designing and measuring product experiments at scale — not just reading dashboards.
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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.
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Strong SQL and BI background; Python or equivalent for analysis and modeling.
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Bonus: hands-on experience building or deploying agent-based or AI-augmented analytics workflows.
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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.
Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Bengaluru, Karnataka, India
Working pattern and location restrictions need checking in the full posting.
- Work authorization
#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.
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