Data Analyst Job in Shiprocket

About Shiprocket:

At Shiprocket, we are on a mission to make e-commerce simple, accessible, and trustworthy. We empower e-commerce sellers with AI-driven 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, providing sellers with everything they need to deliver an exceptional customer experience.

What It s Like to Work at Shiprocket:

Our culture is built on the following principles:

• Key to True Innovation: We thrive under constraints and use them as opportunities to innovate.
• Speed Above All Else: We prioritize quick decision-making and actions that make the most impact.
• Be Ruthlessly Frugal: Efficient use of resources drives growth.
• Say It Like It Is: We value honesty and directness in communication.
• We re Not A Family, We re A Sports Team: We are here to win and accomplish great things together.
• Customer-First Mentality: Our focus is always on delivering outstanding experiences for our customers.

Role Overview:

Shiprocket s Engineering Team is focused on driving innovation and excellence within the e-commerce and logistics industries. We are dedicated to developing cutting-edge technology solutions that empower businesses to scale efficiently, optimize operations, and deliver outstanding customer experiences. With a focus on automation, data-driven decision-making, and seamless integrations, we aim to revolutionize how merchants, customers, and logistics providers interact.

We are looking for a Data Analyst with 2-6 years of experience to help support our diverse business units (Finance, Product, Operations, Marketing, etc.) by leveraging insights derived from analyzing large datasets. The ideal candidate will be proficient in data mining, analytical methods, data tools, and model development and implementation.

Roles and Responsibilities:

• Data Preparation & Analysis: Gather and analyze data to generate reports that provide actionable insights to business teams. Support the strategic planning of new AI or data-centric products.
• Insight Generation: Analyze key metrics and performance indicators to identify the root causes of inefficiencies or defects in processes, helping teams drive improvements.
• Collaboration with Business Teams: Collaborate proactively with various internal business teams to enhance project outcomes, focusing on optimizing resource utilization and ensuring timely completion.
• Report Creation: Build and maintain reports that communicate key findings and trends clearly to management, facilitating data-driven decision-making.
• Continuous Improvement: Recommend and implement improvements based on data insights, contributing to better operational efficiencies.

Preferred Skills & Qualifications:

• Business & Statistical Acumen: Ability to translate business questions into statistical solutions and communicate insights effectively.
• Data Analytics Proficiency: Expertise in SQL, PL/SQL, BigQuery, and Snowflake. Experience in scripting languages like Python is highly desirable.
• Analytical Tools & Methodologies: Strong understanding of OLTP/OLAP databases, data analytics tools, and methodologies. Hands-on experience in data mining and statistical modeling.
• Data Visualization Skills: Experience with tools such as Metabase (preferred) and advanced Excel to present data insights in an accessible format.
• Cloud Services Knowledge: Familiarity with AWS services is a significant advantage.
• Problem-Solving: Proactive mindset with the ability to identify challenges and develop practical solutions to improve processes and drive business results.

Why Shiprocket?

At Shiprocket, we offer a dynamic, fast-paced work environment where you ll have the opportunity to make a significant impact. You'll work alongside a talented team that embraces innovation, prioritizes customer satisfaction, and continuously pushes the envelope to redefine e-commerce logistics.