01Overview
Senior Data Analyst, INDepartment: 61-416 - Technology - Hyderabad
Employment Type: Permanent - Full Time
Location: India - Hyderabad
Reporting To: Madhu Babu Tanikella
Description
Why Join DAZN
Joining DAZN in Hyderabad means being part of a cutting-edge sports streaming company in a vibrant tech hub. Youll 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 youre 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 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.
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). .
