Analytics skill stack listed
Briefings list a core sports‑analytics stack built on Excel and basic statistics, then SQL and Python for data work, and Tableau or Power BI for visualisation. (sports.ndtv.com) (moneycontrol.com). Public league stats hubs and scorecards are cited as suitable data sources for portfolio projects like phase‑by‑phase IPL notebooks and ISL recruitment dashboards. (sports.ndtv.com)
Sports analytics hiring guides are converging on a simple stack: spreadsheets first, then databases and coding, then charts. (sports.ndtv.com) The entry layer is Excel and basic statistics, the tools used to sort match logs, calculate averages, and test simple patterns before moving to heavier software. Moneycontrol reported on April 12, 2026 that GitHub’s developer base in India had reached 27 million, with artificial intelligence coding tools lowering the barrier for new programmers. (moneycontrol.com) The next step is Structured Query Language, or SQL, and Python, which let analysts pull large tables, clean ball-by-ball or event data, and run repeatable workflows. Visualisation tools such as Tableau and Microsoft Power BI sit at the presentation end, where clubs, broadcasters, and fans can read trends without opening raw files. (moneycontrol.com) The public data sources for that work are no longer hard to find. NDTV’s Indian Premier League 2026 hub publishes live batting, bowling, and fielding tables, while its points table and score pages track match results and standings across the season. (sports.ndtv.com) The same pattern exists in football. The Indian Super League’s official statistics page lists player and club leaders in goals, assists, chances created, touches, interceptions, saves, and clean sheets, giving beginners enough structured data to build scouting or recruitment dashboards. (indiansuperleague.com) That makes portfolio work more concrete than a generic coding exercise. A candidate can build a phase-by-phase Indian Premier League notebook from public score data, or an Indian Super League recruitment board that compares chance creation, passing volume, and defensive actions by position. (sports.ndtv.com) GitHub’s India numbers also point to a wider supply shift in technical talent. Moneycontrol reported in November 2025 that India had 21.9 million developers on GitHub, up more than 5 million in a year, and the April 2026 figure of 27 million suggests that pool kept expanding as coding agents spread. (moneycontrol.com) The practical message is that sports analytics still starts with counting and context, not with a black-box model. The people who can move from a spreadsheet to a query to a chart, using public league data, now have a clearer template for showing their work. (sports.ndtv.com)
