Product Analytics Specialist

6 days ago

Kozhikode, Kerala, India beBeeData Full time ₹ 18,00,000 - ₹ 25,00,000
About the Role

We are seeking a highly analytical and technical individual to join our team as a Data Engineer/Analyst. This role will play a critical part in enabling data-driven decisions across the business, turning data into insights that influence product direction, customer success, and revenue growth.

  • Design, develop, and maintain scalable ETL pipelines using Python to support data ingestion, transformation, and integration from multiple sources.
  • Develop and maintain A/B testing frameworks, track key metrics, and analyze experiment results to inform product strategies.
  • Work closely with cross-functional teams, including customer success, sales, and marketing, to support commercial strategies with data solutions.
  • Collaborate with data engineers to design and implement scalable data architectures.
  • 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.

Key Responsibilities:

Technical Skills:
  • 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.

Personal Qualities:

  • 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.
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.

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