Analytics Engineer

DAZN dazn.com Open · verified Oct 24, 2026

On-site Hyderabad Knowledge city Full-time Mid-level Data Analysis & BI

At a glance

Mid-level Data Analysis & BI role at DAZN. Hyderabad Knowledge city · full-time.

Pay not stated Data Analysis & BI salary

RoleData Analysis & BI

SeniorityMid-level

LocationHyderabad Knowledge city

WorkplaceOn-site

EmploymentFull-time

PostedJun 23, 2026 · 4mo ago

Role brief

dataroles summary, based on the employer's posting.

What you'll do

Find patterns and useful insights by examining large datasets
Build and maintain SQL queries and data pipelines for business analysis, funnel analysis and reporting
Create interactive dashboards and reports in Google Analytics, then check data quality across systems
Work with other teams to clarify their needs and deliver data-backed solutions
Document analytical methods, dashboards and data sources, and answer ad-hoc requests with recommendations

What you bring

Strong SQL skills, including joins, aggregations and data transformations
Hands-on Power BI Desktop experience building dashboards and visualizations, with DAX knowledge
Basic Python ability for analysis and automation
Strong analytical reasoning, clear communication and the ability to manage competing priorities independently

Who this fits

This mid-level role suits someone who can turn data into clear business insights and work independently across multiple priorities. The job is onsite in Hyderabad.

From the employer

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 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).