Central Analytics Lead - Growth & Marketing
- Shiprocket
- 4 - 6 years
- Noida, Gurugram
- 1 month ago
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Job Description
About the Role:
We are seeking a highly analytical and data-driven individual to join our team as a Central Analytics Lead. In this role, you will play a critical role in driving data-driven decision-making across the organization. You will be responsible for building and scaling our central analytics function, identifying key business opportunities, and enabling data-informed strategies across all departments.
Key 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:
- 4+ 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).
- Excellent communication, presentation, and storytelling skills.
- 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.
- Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related field.
Bonus Points:
- Experience building and scaling data infrastructure and systems.
- Experience with machine learning and predictive modeling techniques.
Interested folks can share CV at sh*********v@sh*******t.com
Job Classification
Industry: Courier / Logistics (Logistics Tech)Functional Area / Department: Marketing & CommunicationRole Category: MarketingRole: Marketing - OtherEmployement Type: Full timeContact Details:
Company: ShiprocketLocation(s): Noida, Gurugram
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