Remote Business Intelligence Analyst

Summary

Join Zipline and help us to make good on our promise to build an equitable and more resilient global supply chain for billions of people. We are looking for a highly motivated and skilled business intelligence analyst to build out our data function within the Sales and Partnerships team.

Requirements

• 5+ years of experience in data analysis, preferably in a sales or customer success environment
• Strong proficiency in data visualization using tools like Mode, Tableau, Power BI, or Matplotlib
• Experience in writing SQL queries to extract, manipulate, and analyze large datasets from relational databases; ability to optimize SQL queries for performance improvements, create and maintain database schemas, and manage database security
• Hands-on experience working with Snowflake’s cloud data platform, including data warehousing, data lakes, and scalable cloud architecture
• Excellent problem-solving and analytical skills
• Strong communication skills with the ability to present complex data in a clear, concise manner; ability to communicate clearly with both technical and non-technical audiences
• Ability to work independently and manage multiple projects simultaneously
• Inherent self-motivation, adaptability, and creativity

Responsibilities

• Lead the development of data-driven solutions (e.g., monitoring dashboards, early warning tools, facility profiling, demand forecasting) that grow Zipline’s offering and increase business stickiness
• Collaborate with business leaders to extract actionable insights from Zipline’s operational and customer data and construct compelling narratives that highlight our value proposition and impact for diverse audiences
• Harmonize, analyze and visualize data, and develop and maintain dashboards and reports to track key performance metrics for the Africa business unit, supporting sales, customer success, marketing and program execution across multiple countries
• Identify critical trends and patterns to uncover growth opportunities, optimize strategies, and guide program implementation
• Design and implement data workflows that provide clear insights into the status of the business , highlighting successes and addressing challenges to inform decision-making
• Work cross-functionally to ensure data consistency and accuracy, troubleshoot fixes , and continuously improve data collection methods and analysis techniques