About this role
Analytics Engineer
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.
Role Overview:
DAZN is seeking a highly motivated Analytics Engineer to join our Data & Analytics team. This role bridges the gap between Data Engineering and Analytics, enabling trusted, scalable, and business-ready data products that support decision-making across product, marketing, commercial, finance, and customer experience functions.
The ideal candidate will have strong expertise in dbt, SQL, and Python, with experience building modern data models, transforming large-scale datasets, and delivering reliable analytics solutions in a cloud data platform environment.
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.
Role Overview:
DAZN is seeking a highly motivated Analytics Engineer to join our Data & Analytics team. This role bridges the gap between Data Engineering and Analytics, enabling trusted, scalable, and business-ready data products that support decision-making across product, marketing, commercial, finance, and customer experience functions.
The ideal candidate will have strong expertise in dbt, SQL, and Python, with experience building modern data models, transforming large-scale datasets, and delivering reliable analytics solutions in a cloud data platform environment.
Key Responsibilities
- Design, develop, and maintain scalable data models using dbt following best practices such as modularity, testing, documentation, and version control.
- Write complex and optimized SQL transformations to create curated datasets and business metrics.
- Develop and maintain Python scripts and frameworks for data processing, automation, quality validation, and analytics workflows.
- Collaborate with Data Engineers to ingest, transform, and manage data from multiple internal and external sources.
- Build and maintain dimensional models, fact tables, and semantic layers that support reporting and self-service analytics.
- Implement data quality checks, monitoring, and testing using dbt tests and custom validation frameworks.
- Work closely with Product, Marketing, Finance, and Operations stakeholders to understand business requirements and translate them into scalable data solutions.
- Optimize data pipelines and transformation processes for performance, reliability, and cost efficiency.
- Create and maintain technical documentation, data lineage, and metadata standards.
- Support BI and reporting tools by delivering clean, governed, and trusted datasets.
Skills, Knowledge & Expertise
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related field.
- 3+ years of experience in Analytics Engineering, Data Analytics, Data Engineering, or related roles.
- Strong hands-on experience with dbt (Data Build Tool).
- Advanced proficiency in SQL, including complex joins, CTEs, window functions, performance optimization, and data modeling.
- Strong programming experience in Python for data analysis, transformation, automation, and orchestration.
- Experience with cloud data warehouses such as: Snowflake / Google BigQuery / Amazon Redshift / Databricks
- Strong understanding of dimensional modeling, data warehousing concepts, and analytics engineering principles.
- Experience using Git-based development workflows and CI/CD practices.
- Excellent problem-solving and stakeholder communication skills.
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