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Job Description
Data Analyst
Department: 61-416 - Technology - Hyderabad
Employment Type: Permanent - Full Time
Location: India - Hyderabad
Reporting To: Sreepanchajanyam D
Description
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.
Key Responsibilities
- 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 and reporting.
- Build, enhance, and maintain interactive dashboards and reports in Power BI and Looker.
- 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.
Skills, Knowledge & Expertise
- 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).
About DAZN
DAZN
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