Analytics Engineering Jobs – Apply to Latest Analytics Engineering Job Vacancies

10.0 - 12.0 years

40 Lacs

Hyderabad

Work from Office

Location: Hyderabad (5days work from office) About the Team At DAZN, the Analytics Engineering team sits at the core of the business, transforming hundreds of data points into actionable insights that drive strategic decisions. From content strategy and product engagement to marketing optimization and revenue analytics we enable scalable, accurate, and accessible data solutions across the organization. The Role Were looking for a Lead Analytics Engineer to take ownership of our analytics data pipelines and play a critical role in designing and scaling DAZNs modern data stack. This is a hands-on technical leadership role where youll shape robust data models using dbt and Snowflake , orchestrate workflows via Airflow , and ensure high-quality, trusted data is delivered for analytical and reporting needs. Key Responsibilities Lead the development and governance of semantic data models to support consistent, reusable metrics. Architect scalable data transformations on Snowflake using SQL and dbt , applying data warehousing best practices. Manage and enhance pipeline orchestration with Airflow , ensuring timely and reliable data processing. Collaborate closely with teams across Product, Finance, Marketing, and Tech to translate business needs into technical data models. Establish and maintain best practices around version control, testing, and CI/CD for analytics workflows. Mentor junior engineers and promote a culture of technical excellence and peer learning . Champion data quality, documentation, and observability across the analytics stack. What Youll Need to Have 10+ years of experience in data or analytics engineering , with 2+ years in a leadership or mentoring role . Strong hands-on experience with SQL , dbt , and Snowflake . Experience with cloud platforms (AWS, GCP, or Azure). Proven expertise in pipeline orchestration tools such as Apache Airflow , Prefect, or Luigi. Deep understanding of dimensional modeling , ELT patterns, and data governance. Ability to navigate both technical deep dives and high-level stakeholder collaboration . Excellent communication skills with both technical and non-technical teams. Nice to Have Background in media, OTT, or sports tech domains. Familiarity with BI tools like Looker , Power BI , or Tableau. Exposure to data testing frameworks such as dbt tests or Great Expectations .

Posted 2 weeks ago

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Power BI Reporting & Analytics Engineer Smartavya Analytica

8.0 - 10.0 years

10 - 12 Lacs

Pune

Work from Office

Work Mode: Full-time, Office-based JobSummary Transform raw data into compelling stories that drive business decisions. You will design, build, and optimize interactive dashboards and reports with PowerBI, partner with business stakeholders to define KPIs and data models, and ensure every analytic deliverable meets enterprise reporting standards for accuracy, usability, and performance. KeyResponsibilities Collaborate with business teams to gather requirements, identify key performance indicators, and translate them into intuitive PowerBI reports and dashboards. Build robust semantic modelsdefining star/snowflake schemas, measures, and calculated tablesto support self service analytics. Develop advanced DAX calculations, optimized queries, and dynamic visual interactions that deliver near real time insights. Continuously tune data models, visuals, and refresh schedules to maximise performance and minimise cost. Establish and maintain report governance standards (naming conventions, documentation, version control, and accessibility compliance). Mentor analysts and citizen developers on PowerBI best practices and storytelling techniques. Partner with data engineering teams to validate data quality, source new data sets, and enhance the analytics pipeline. Must HaveSkills 6-8years in BI/reporting roles, with 3+years hands on PowerBI design and development experience. Expertise in data modelling concepts (star/snowflake, slowly changing dimensions) and strong command of DAX and PowerQuery (M). Proven ability to translate complex business needs into intuitive KPIs, visuals, and interactive drill downs. Solid SQL skills and familiarity with data warehouse/ETL processes (AzureSynapse, Snowflake, or similar). Experience optimising report performance—query folding, aggregation tables, incremental refresh, composite models, etc. Strong understanding of data visualisation best practices, UX design, and storytelling principles. Excellent stakeholder management, requirements gathering, and presentation abilities. PreferredCertifications Microsoft Certified: PowerBI Data Analyst Associate (PL 300) Microsoft Certified: Azure Enterprise Data Analyst Associate (DP 500)

Posted 3 weeks ago

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