Product Innovation Leader

2 weeks ago

Rajkot, Gujarat, India beBeeDataDriven Full time ₹ 1,80,00,000 - ₹ 2,40,00,000

Unlocking Business Value with Data Insights

We help organizations optimize their operations and drive growth by leveraging data-driven strategies. Our solutions empower teams to prepare for success, delivering tangible results through proven methodologies.

Our esteemed clients have witnessed remarkable transformations, achieving:

  • 2x sales productivity
  • 215% uplift in upsell
  • 9x faster time to market

As a talented Product Engineer/Analytics Engineer, you will play a critical part in enabling data-driven decisions across the business. This role involves turning data into actionable insights that inform product direction, customer success, and revenue growth.

Key Responsibilities:

  1. Data Pipeline Development: Design, develop, and maintain scalable ETL pipelines using Python to support data ingestion, transformation, and integration from multiple sources.
  2. A/B Testing Frameworks: Develop and maintain A/B testing frameworks, track key metrics, and analyze experiment results to inform product strategies.
  3. Collaboration with Cross-Functional Teams: Work closely with the product team to develop and drive product strategy and new feature development.
  4. Commercial Strategies with Data Solutions: Collaborate with cross-functional teams to support commercial strategies with data solutions.
  5. Customer and Operational Data Analysis: Analyze customer and operational data to identify trends, patterns, and opportunities that support revenue growth and improve customer engagement.
  6. Dashboards and Reports: Develop and maintain dashboards and reports using SQL and data visualization tools like Looker, Tableau, or Power BI to present insights to stakeholders.
  7. Complex SQL Queries: Write and optimize complex SQL queries for data analysis and support decision-making processes.
  8. Data Integrity and Quality: Ensure data integrity and quality through regular audits, validations, and monitoring.
  9. Metrics and KPIs: Assist in the development of metrics and KPIs to measure the success of business initiatives.

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