A game looks different once you've seen the data behind it — the tempo shift nobody in the stands noticed, the player movement pattern that predicted a scoring run three minutes before it happened. We're hiring a
Remote Sports Event Data Analyst who sees games that way. Full-time, fully remote, $90,640 a year.
What the Role Actually Covers
You'd be pulling real-time stats from live sporting events, turning raw numbers into something coaches and strategists can actually use, and building reports that make sense to people who don't live in spreadsheets all day. Some of it's technical — SQL, Python, dashboard work. A good chunk of it is translation, taking something dense and making it land clearly for whoever's reading it.
What You'd Be Doing
Collecting and Monitoring Data
- Gather and validate real-time stats from live events using approved tracking tools.
- Cross-check data sources so reporting stays accurate across matches and tournaments.
- Track key indicators — player movement, scoring patterns, event tempo — as games unfold.
Turning Data Into Insight
- Convert raw figures into clear summaries using solid visualization techniques.
- Spot trends and anomalies worth flagging for future strategy.
- Work directly with coaching staff and strategists to interpret what the numbers actually mean.
Reporting and Storytelling
- Build reports that make sense to stakeholders regardless of their technical background.
- Highlight the moments that mattered — the game-changers, not just the raw stat lines.
- Contribute to internal knowledge sharing so the wider team stays sharp on the data, too.
Working Across Teams
- Coordinate with performance coaches, technical staff, and sports psychologists to give data real context.
- Partner with the product team to improve dashboards and how people actually use them.
- Join brainstorming sessions where analytics and storytelling meet.
What You'll Need
Education: Bachelor's degree in Data Science, Sports Management, or a related field (minimum requirement).
Experience: At least 2 years in sports analytics, data analysis, or a similar remote analytics role.
You'll want a genuine grounding in statistics and comfort working in a distributed team — this isn't a role where you're figuring out remote collaboration for the first time. Familiarity with how sports events actually unfold, not just the stats they produce, helps a lot too.
What Sets Strong Candidates Apart
- A real instinct for finding the story inside a dataset, not just the summary stats.
- Ability to explain something technically dense in plain, relatable terms.
- Genuine curiosity about perspectives different from your own.
- Comfort working as part of a team rather than solo — the best insights here rarely come from one person alone.
Tools You'd Use
- SQL and Python for data querying and analysis.
- Tableau and Power BI for visual reporting.
- Wearable tracking platforms like Catapult, Zebra, or STATSports.
- Cloud-based dashboards for secure remote data access.
- Slack, Notion, and Zoom to stay connected with the team.
Compensation and Benefits
- $90,640 annual salary.
- Fully remote work with flexible scheduling.
- Paid time off and health coverage.
- Wellness stipends and mental health resources.
- Mentorship from senior analysts and clear paths toward leadership roles.
The Team You'd Be Joining
Naukri Mitra places sports analysts with organizations that treat inclusion as an actual working practice, not a line in a values statement. One analyst who joined this kind of team early in her career described feeling genuinely nervous about starting remote, only to find that virtual game nights and small team wins celebrated over video calls meant the isolation she expected never really showed up. That's less a policy here than a habit the team's built over time.
Ready to Apply?
Send your resume with your sports analytics or data analysis background clearly laid out. Specific tools you've worked with — tracking platforms, visualization software, whatever's relevant — are worth calling out directly.
This role welcomes applicants from the USA, Canada, the UK, the European Union, Australia, India, and other global regions.
