Assc. Manager, Data Science Analytics

5 - 8 years

50 - 55 Lacs

Posted:1 day ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Key Responsibilities
  • End-to-End Data Product Development:
    Design and develop scalable data products and tools that enable business and product teams to make better, faster decisions. This includes building data pipelines, modeling layers, and intuitive front-end dashboards or interfaces.
  • Advanced Analytics Modeling:
    Apply statistical and machine learning techniques (e.g., seller churn prediction, propensity modeling, segmentation, and targeting) to solve core business problems.
  • AI Automation:
    Leverage emerging AI technologies (e.g., agentic AI systems) to enhance analytics workflows and automate insights generation.
  • Strategic Insights Storytelling:
    Translate complex analytical findings into crisp, actionable insights for senior executives and product leaders. Create compelling narratives that influence business strategy.
  • Cross-functional Collaboration:
    Partner with global analytics, product, and business teams across US and EU markets to define success metrics, measure performance, and prioritize high-impact initiatives.
  • Planning Execution:
    Manage multiple priorities and stakeholders, ensuring timely delivery and clear communication of progress, tradeoffs, and outcomes.
Required Qualifications Skills
  • 5-8 years of experience in data science, analytics, or data product roles
  • Strong proficiency in Python and SQL
  • Hands-on experience with Tableau or other visualization tools
  • Proven experience with machine learning , statistical modeling , and data-driven experimentation
  • Strong background in handling large, complex datasets and building scalable data pipelines
  • Exceptional problem-solving and analytical thinking skills able to break down ambiguity into structured frameworks
  • Excellent communication and storytelling skills ability to influence senior stakeholders through clear and compelling narratives
  • Strong project planning, prioritization, and execution capabilities
Preferred Qualifications
  • Experience with AI/LLM-based analytics or automation solutions
  • Familiarity with modern data stack tools (e.g., Snowflake, Airflow, dbt)
  • Prior experience in e-commerce , marketplace , or retail analytics domains
  • Exposure to data product management or working in cross-functional product teams

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