Analytics Engineer
On-site Hyderabad Knowledge city, , TSIIC, Raidurg,, India
Summary
DAZN is hiring an Analytics Engineer in Hyderabad to collect, analyze, and interpret large datasets using SQL, Python, and Power BI. You will develop data pipelines, build dashboards, and collaborate with teams to deliver data-driven solutions for sports streaming.
Why Join DAZN?
Joining DAZN in Hyderabad means being part of a cutting-edge sports streaming company in a vibrant tech hub. You’ll work alongside passionate, talented professionals on innovative projects that reach millions of fans worldwide. Hyderabad offers a dynamic work environment with a great balance of career growth and lifestyle. If you’re excited about shaping the future of live and on-demand sports entertainment, DAZN Hyderabad is the perfect place to make your mark and grow your career.
Joining DAZN in Hyderabad means being part of a cutting-edge sports streaming company in a vibrant tech hub. You’ll work alongside passionate, talented professionals on innovative projects that reach millions of fans worldwide. Hyderabad offers a dynamic work environment with a great balance of career growth and lifestyle. If you’re excited about shaping the future of live and on-demand sports entertainment, DAZN Hyderabad is the perfect place to make your mark and grow your career.
- Collect, analyze, and interpret large datasets to identify meaningful patterns, trends, and insights.
- Develop and maintain SQL queries and data pipelines to support business analysis andFunnel analysis and reporting.
- Build, enhance, and maintain interactive dashboards and reports in Google Analytics
- Perform data validation and ensure data accuracy, consistency, and integrity across systems.
- Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.
- Document analytical processes, dashboards, and data sources for transparency and reusability.
- Support ad-hoc data requests and provide actionable recommendations to stakeholders.
- Proficient in SQL (querying, joins, aggregations, data transformations).
- Experience with Power BI Desktop for building dashboards and visualizations.
- Basic knowledge of Python for data analysis and automation.
- Understanding of DAX for measures and calculated columns in Power BI.
- Strong analytical, problem-solving, and critical thinking skills.
- Ability to work independently and manage multiple priorities in a fast-paced environment.
- Excellent communication skills, with the ability to translate data into clear business insights.
Preferred Qualifications (Good to Have): - Experience working with cloud-based data warehouses (e.g., Snowflake).
- Exposure to ETL tools or data transformation frameworks (e.g., DBT).
- Exposure to orchestration tools (e.g., Airflow).