Central Analytics Lead Job in Shiprocket

About Shiprocket:

At Shiprocket, we are on a mission to simplify and elevate the e-commerce experience. We provide e-commerce sellers with AI-powered technology and reliable services, covering everything from conversion and order fulfillment to shipping, customer communication, and returns management. Our platform scales data, workflows, and supply chains to equip sellers with the tools they need to deliver exceptional customer experiences.

What It s Like to Work at Shiprocket:

At Shiprocket, we embrace the following success traits that shape our culture and drive us toward achieving great things:

• Innovation Within Constraints: Embrace constraints and use them as a foundation for innovation.
• Speed is Key: Make swift decisions and take action based on their potential impact.
• Ruthless Frugality: Be frugal, as it leads to growth and efficiency.
• Direct Communication: Be transparent and honest in all interactions.
• Sports Team Mentality: We re not a family, we re here to win as a team.
• Customer Obsession: Always prioritize the customer and their experience.

Role Overview:

We re seeking a highly analytical and data-driven Central Analytics Lead to drive data-informed decision-making across Shiprocket. In this role, you ll play a critical part in building and scaling our central analytics function. You will help identify key business opportunities, provide actionable insights, and enable data-driven strategies across all departments.

Key Responsibilities:

• Develop & Implement Analysis Frameworks: Design and implement robust data analysis methodologies and frameworks to enhance decision-making.
• Dashboard & Reporting: Build and maintain data dashboards and reports to monitor performance and track key business metrics.
• In-depth Data Analysis: Conduct detailed analysis to identify trends, uncover insights, and inform strategic decisions that drive business growth.
• Stakeholder Presentations: Develop data-driven presentations to communicate insights and recommendations to stakeholders across the organization.
• Cross-Functional Collaboration: Work closely with teams across product, marketing, sales, and operations to understand their data needs and provide actionable insights.
• Team Development: Build and mentor a high-performing team of analysts (future expectation).
• Identify Opportunities for Innovation: Identify areas for process improvement and data-driven innovation to enhance business strategies.
• Ensure Data Integrity: Maintain data quality and integrity across all systems and platforms.
• Stay Ahead of Trends: Keep up-to-date with the latest advancements in data analytics and visualization tools.

Preferred Skills & Qualifications:

• Experience: 4+ years in an analytics role, ideally in a fast-paced, high-growth startup environment.
• SQL & Data Warehousing: Exceptional SQL skills with experience in data warehousing and ETL processes.
• Data Visualization: Strong experience with data visualization tools (e.g., Tableau, Power BI, Looker).
• Communication Skills: Excellent presentation, communication, and storytelling abilities to translate complex data into actionable insights.
• Analytical & Problem-Solving Skills: Strong critical thinking and independent problem-solving skills to tackle complex data challenges.
• Growth Mindset: Eagerness to learn and adapt to new challenges and technologies.
• Educational Background: Bachelor s degree in Statistics, Mathematics, Economics, Computer Science, or a related field.

Bonus Points:

• Data Infrastructure: Experience in building and scaling data infrastructure and systems.
• Machine Learning: Experience with machine learning and predictive modeling techniques.