A missed free throw, a broken tackle, a three-pointer that shifts momentum — none of it means much until someone turns it into a number that tells a story. That's the job. We're hiring a Remote Sports Statistician to take raw play-by-play data and turn it into something coaches trust, fans understand, and analysts can build on.
Where You Fit In
Sports analytics is having a real moment right now, and we're building the tools that teams, broadcasters, and fantasy platforms lean on to make sense of it all. You'll be pulling live data during games, cleaning it up, running it through statistical models, and then — this part matters — explaining what it actually means to people who aren't statisticians.
Half the job is technical. The other half is translation. If you can spot a trend in a spreadsheet and also explain it in one sentence a fan would understand, you'll do well here.
Day-to-Day Duties
- Track live sporting events and capture accurate data as plays unfold.
- Clean and cross-check data from multiple feeds so nothing gets published with errors.
- Build statistical models to evaluate player and team performance.
- Study historical trends to forecast outcomes and inform strategy conversations.
- Turn dense data into dashboards, infographics, and reports that non-analysts can actually use.
- Work alongside media and broadcast teams to shape stat-driven content for live coverage.
- Partner with engineers to automate recurring data pipelines rather than doing them by hand each time.
What You'll Need
- Education: Bachelor's degree in Statistics, Mathematics, Data Science, or a related field.
- Experience: A minimum of 2 years working in sports analytics or performance data analysis.
- Solid, hands-on skills in Python, R, or SQL for statistical modeling.
- Comfort with visualization tools like Tableau, Power BI, or D3.js.
- A working understanding of key performance indicators across multiple sports, not just one.
- Experience pulling and working with data through sports league or provider APIs.
Bonus Points If You Have
- Machine learning experience applied to predictive sports analytics.
- Background working with real-time or streaming data structures.
- A genuine knack for visual storytelling — infographics, trend breakdowns, that kind of thing.
- Familiarity with cloud platforms like AWS or Google Cloud for scaling data workflows.
What the Role Actually Pays
This position comes with a salary of $86,921 per year. Beyond that, you'll get:
- Fully remote, flexible-hours setup — work when you're sharpest, not just 9 to 5.
- A results-first culture, judged on output rather than hours logged online.
- Room to specialize — fantasy sports modeling, wearable tech analytics, or fan engagement platforms are all on the table.
- Recognition tied directly to the insights you produce, not just tenure.
Who Does Well on This Team
People who like ambiguity more than rigid instructions. Priorities shift with the season, the sport, and sometimes the score — you'll need to move with that instead of fighting it. Roles like this get posted on Naukri Mitra fairly often, but the ones who thrive tend to share one thing in common: they'd analyze a game's stats for fun even if nobody paid them for it.
You'll also want a collaborative streak. This isn't a solo analyst role tucked away from everyone else — you'll be working directly with engineers, media teams, and other analysts most weeks.
Tools You'll Be Using
Python, R, and SQL cover the modeling side. Tableau, Power BI, and D3.js handle visualization. GitHub, JIRA, and Slack keep the team's workflow moving, and AWS or Google Cloud back the infrastructure when data volume gets heavy. You'll also work directly with APIs from major sports leagues and third-party data providers.
Where This Can Lead
This role isn't designed as a dead end. Strong performers move toward senior analytics roles, technical leadership, or specialized tracks in areas such as wearable analytics or fan engagement products. You'll also get exposure to global sports organizations and media partners along the way — the kind of experience that builds a real career path, not just a resume line.
How to Apply
If a box score gets you thinking rather than glazing over, send us your resume and a short note on a sports stat or trend you found genuinely interesting to work through. We're hiring across the USA, Canada, the UK, the European Union, Australia, India, and several other regions — location shouldn't stop you from applying.
