# Analytics Engineer at Dazn

> Onsite · India · Unspecified · Data engineering · open. Source: https://alderhq.app/jobs/pinpoint%3Adazn%3A531108 (read 2026-11-04).

## Facts (observed)

- Company: [Dazn](https://alderhq.app/companies/dazn)
- Location text: India - Hyderabad, TSIIC, Raidurg,
- Where it can be done from (inferred): Onsite · India (evidence: "Location lists "hyderabad"")
- Posted: already open when tracking began; date unknown
- First seen by alder: 2026-11-04 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://careers.dazn.com/en/postings/5d616d5e-ac73-4ae2-b992-c01df9f5cb07
- Skills listed (inferred): Python, Airflow, Snowflake, dbt, SQL

## Pay and sponsorship

- Posted pay: not posted

## Description (the employer's text)

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.

### 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

- 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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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/pinpoint%3Adazn%3A531108 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.