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Team Lead – Business Analytics & Data Governance

Job Category: Business Analytics
Job Type: Full Time
Job Location: Mumbai

We are looking for an analytics lead who will own the business analytics & data governance vertical of the Data Science team and will contribute to the data-driven growth of the organization. This is a role for someone who is a curious, business-oriented analytics professional who enjoys the journey from data collection to insights, loves to drive the process implementation.

Location: Mumbai
Key Responsibilities:

  1. Lead a team of analysts/senior analysts to achieve organisation’s Objectives & Key Results.
  2. Lead data driven problem solving to find actionable insights and drive its implementation.
  3. Analyse large distributed datasets to identify growth opportunities and recommend targeting, retention & engagement plans.
  4. Understand business requirements and write logics/flows to process data.
  5. Work with various stakeholders across different departments (Marketing, Finance, Business, Product, Technology etc.) and ensure process management (data, information & analysis delivery) & prioritization across work streams.
  6. Oversee Data Warehousing from various data sources to central repository.
  7. Oversee MIS and data reporting infrastructure to support business visibility.
  8. Ensure robust & accurate data systems along with product & technology.
  9. Explore & implement ways to open up opportunities for professional growth and learning of each team member.
  10. Understand business criticality & take quick and effective decisions.

Competencies & Experience:

  1. 3-6 years of experience in analytics / business intelligence / data science domain.
  2. Prior experience of leading a team is preferred (not mandatory).
  3. Highly proficient in SQL (MS-SQL & Google BigQuery preferred), R(and/or) Python & any data visualisation tools (Power BI preferred).
  4. Strong data wrangling & presentation skills.
  5. Working knowledge of Google Cloud Platform & Basic Linux commands is desired.
  6. Strong business acumen and communication skills.
  7. Proven experience with reporting, data warehousing and ETL development.
  8. Familiarity with statistics & basic ML Techniques.

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