Data Analyst

Location: Bengaluru

About Us:

Playo is a leading global sports activity platform with over 5 million users across 5 countries, that connects players, venues, trainers, and brands in one full stack ecosystem across 50+ sports. We operate at the intersection of consumer technology, social networking, marketplaces & real-world logistics and are building a scalable, multi-vertical sports-tech venture with a focus on long-term sustainability and global dominance.

The Opportunity:

We're looking for a Data Analyst who isn't just great with numbers, but someone who knows how to make them speak. If you can slice raw data, structure chaos, and turn it into dashboards and insights that drive decisions, you'll fit right in. This role sits at the core of Playo's growth engine, requiring precision, ownership, and the ability to move quickly.

If you're detail-driven, proactive, and looking to grow in a fast-paced, high-trust environment, this is a strong opportunity to develop and make your work count.

Responsibilities:
Gather, clean, and process raw data from SQL, Mongo

DB, and other internal sources
Build analytical models, metrics frameworks, and reusable query logic
Create dashboards and visualizations using Metabase (or similar BI tools)
Investigate trends, anomalies, edge cases, and performance shifts like a detective, not a reporter
Deliver insights that help strengthen retention, improve conversion, and drive revenue goals
Build automated reports for business, product, and ops teams
Partner with cross-functional teams to define what should be measured — not just track what already exists
Present findings in a clear, structured, and actionable format
Validate data accuracy, fix inconsistencies, and ensure reliability of reporting pipelines
Stay curious — question assumptions, test hypotheses, and push for better decision-making through data

Requirements:
2–4 years of experience in data analytics, BI, or a related field
Strong SQL skills — including joins, window functions, CTEs, and optimization
Hands-on experience with Mongo

DB querying and structuring unstructured datasets
Solid command of Python (especially Pandas, Num Py) for data wrangling
Working knowledge of visualization tools (Metabase, Tableau, Power BI, Looker, etc.)
Understanding of data modeling concepts (fact/dimension tables, normalization, indexing)
Ability to break down complex datasets into simple, logical insights
Strong communication skills — especially when presenting data
Sharp attention to detail and a habit of validating data before sharing
Bonus if you've worked with cohort analysis, funnels, churn modeling, or retention insights

Next Steps:
Believe you have what it takes to join us on the playfield If so, drop us your pitch  indicating ' Data Analyst ' in the subject line with your resume  on  [HIDDEN TEXT]    and tell us why you believe you are best suited for this role.