Product Data Analyst- Data Engineering

What you can look forward to as Product Data Analyst- Data Engineering:

• End-to-End Project Ownership

  : Drive and manage analytics initiatives from concept to deployment, ensuring high-quality, timely deliverables with minimal supervision.

• Engineering Best Practices

  : Apply structured software development principles, including version control (e.g., Git), CI/CD, automated testing, and peer code reviews to ensure robust, scalable, and maintainable solutions.

• Data Architecture & Pipelines

  : Design, build, and optimize scalable and reliable data models and pipelines in Databricks, Azure Cloud, and other big data environments to support advanced analytics and AI use cases.

• Data Modeling & Performance Optimization

  : Develop and maintain high-performance data models tailored for analytical workloads and business intelligence use.

• Business Partnership

  : Serve as a key liaison between technical teams and business stakeholders to understand needs, validate outcomes, and ensure solutions are actionable and business-ready.

• Data Visualization

  : Create insightful and user-centric dashboards using tools like Power BI, Shiny for Python/R, or similar platforms.

Your profile as Product Data Analyst- Data Engineering

• 8-10 years of experience in Data Engineering/ Advanced analytics roles.
• Hands-on experience with Databricks, Azure, and familiarity with Big Data platforms (e.g., GCP, Cloudera).
• Prior experience with Data Bricks, Python, Pysprak, TecDoc or product data in the automotive domain
• Industry experience in agile development and DevOps Databases (ex. Oracle, AWS S3)
• Proficiency with data visualization tools such as Power BI, Shiny, or equivalent.