Data Analyst

- Analyze large and complex datasets to identify trends, patterns, and actionable insights that support business decision-making.

- Design, define, and monitor core business KPIs to evaluate product and operational performance.

- Partner with product, marketing, and business teams to translate business questions into structured data analysis.

- Deliver clear, concise, and data-driven insights to stakeholders and shareholders through presentations and reports.

- Develop and maintain dashboards and reporting frameworks that enable self-service analytics.

- Conduct ad hoc analysis to support strategic initiatives and emerging business needs.

- Ensure data quality and integrity by validating datasets and collaborating with data engineering teams when needed.

Our Stack

SQL(MySQL, Redshfit) (Must)

Python (Good to have)

AirFlow (Good to have)

Metabase (Good to have)

Requirement

- 2+ years experience in a similar data-driven role.

- Excellent working knowledge of SQL.

- Excellent working knowledge of BI and data visualization tools.

- Familiarity with Python.

- Familiarity with ETL data pipeline.

- Familiarity with Airflow.

- Understanding of principles of relational databases and data warehouse.

- Strong understanding of sports and gaming will be beneficial.