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Shiprocket - Central Analytics Lead - Power BI/Big Data

Shiprocket Limited
Gurgaon/Gurugram
6 - 12 Years

Posted on: 24/11/2025

Job Description

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 :

- Develop and implement robust data analysis frameworks and methodologies

- Build and maintain data dashboards and reports to track key business metrics and monitor performance

- Conduct in-depth data analysis to identify trends, uncover insights, and inform strategic decisions

- Develop and present data-driven presentations to stakeholders across the organization

- Collaborate closely with cross-functional teams (product, marketing, sales, operations) to understand their data needs and provide actionable insights

- Build and mentor a high-performing team of analysts (future expectation)

- Identify opportunities for data-driven innovation and process improvement

- Ensure data quality and integrity across all systems

- Stay abreast of the latest advancements in data analytics and visualization.

QUALIFICATIONS :

- 5+ years of experience in an analytics role, preferably in a high-growth startup environment

- Exceptional SQL skills and experience with data warehousing and ETL processes

- Strong experience with data visualization tools (e.g., Tableau, Power BI, Looker)

- Ability to translate complex data into actionable insights and recommendations

- Strong analytical and problem-solving skills with the ability to think critically and independently

- Growth mindset with a strong desire to learn and adapt to new challenges

- Bachelors degree in Statistics, Mathematics, Economics, Computer Science, or a related field

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