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Data Driven Business Strategist

3 weeks ago

Ajmer, Rajasthan, India beBeeProduct Full time ₹ 1,80,00,000 - ₹ 2,40,00,000

Drive Business Growth through Data-Driven Insights

A Product Analyst is required to 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:

  • Develop scalable ETL pipelines using Python to support data ingestion, transformation, and integration from multiple sources.
  • Create and maintain A/B testing frameworks, track key metrics, and analyze experiment results to inform product strategies.
  • Work closely with the product team to develop and drive product strategy and new feature development.
  • Collaborate with cross-functional teams, including customer success, sales, and marketing, to support commercial strategies with data solutions.
  • Analyze customer and operational data to identify trends, patterns, and opportunities that support revenue growth and improve customer engagement.
  • Develop and maintain dashboards and reports using SQL and data visualization tools like Looker, Tableau, or Power BI to present insights to stakeholders.
  • Write and optimize complex SQL queries for data analysis and support decision-making processes.
  • Ensure data integrity and quality through regular audits, validations, and monitoring.
  • Assist in the development of metrics and KPIs to measure the success of business initiatives.
  • Partner with commercial teams to analyze performance data and support customer-facing initiatives.

Requirements:

  • Bachelor's degree in Computer Science, Data Engineering, Statistics, Mathematics, or a related field.
  • 5+ years of experience in data engineering, ETL development, or a related role.
  • Strong proficiency in Python, with experience in building ETL workflows and data processing scripts.
  • Advanced SQL skills, including query optimization and database modeling.
  • Proficiency with data visualization tools (e.g., Tableau, Power BI, or Looker).
  • Familiarity with A/B testing methodologies and ability to analyze experiment results.
  • Solid understanding of Excel, including advanced functions and pivot tables.
  • Familiarity with cloud platforms and data storage solutions (e.g., AWS, GCP, Azure) is a plus.
  • Strong analytical and problem-solving skills with a keen attention to detail.
  • Excellent communication skills to present data-driven insights to non-technical stakeholders.
  • Ability to work collaboratively in a team-oriented environment.
  • A proactive mindset and eagerness to learn new tools and technologies.

Preferred Qualifications:

  • Experience working with large datasets and implementing data governance best practices.
  • Knowledge of machine learning algorithms and their applications in data analysis.
  • Ability to create interactive and dynamic visualizations using data visualization tools.