Central Analytics Lead

Gurugram, Haryana

Department Growth & Marketing
Job posted on July 4, 2025
Employee Type permanent
Experience range 4+ years
ABOUT THE ROLE

We are looking for a highly analytical and data-driven professional to join our team as the Central Analytics Lead. This pivotal role will be responsible for building and scaling our central analytics function, enabling data-driven decision-making across the organization. The ideal candidate will work closely with cross-functional teams to uncover key business opportunities and support the development of data-informed strategies that drive overall business performance.

 

RESPONSIBILITIES

  1. Develop and implement robust data analysis frameworks and methodologies
  2. Build and maintain data dashboards and reports to track key business metrics and monitor performance
  3. Conduct in-depth data analysis to identify trends, uncover insights, and inform strategic decisions
  4. Develop and present data-driven presentations to stakeholders across the organization
  5. Collaborate closely with cross-functional teams (product, marketing, sales, operations) to understand their data needs and provide actionable insights
  6. Build and mentor a high-performing team of analysts (future expectation)
  7. Identify opportunities for data-driven innovation and process improvement
  8. Ensure data quality and integrity across all systems
  9. Stay abreast of the latest advancements in data analytics and visualization

 

QUALIFICATIONS

  1. 4+ years of experience in an analytics role, preferably in a high-growth startup environment
  2. Exceptional SQL skills and experience with data warehousing and ETL processes
  3. Strong experience with data visualization tools (e.g., Tableau, Power BI, Looker)
  4. Ability to translate complex data into actionable insights and recommendations
  5. Strong analytical and problem-solving skills with the ability to think critically and independently
  6. Growth mindset with a strong desire to learn and adapt to new challenges
  7. Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, or a related field

 

 

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