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Data Analyst at DAZN

Data Analyst
DAZN
On-site
India - Hyderabad
Full-time
Salary not listed
Posted 4 June 2026
Engineering
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Job 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.

  • 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.
  • 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).

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