Data Analyst

• Transform raw marketplace data into accurate, meaningful insights supporting commercial, supplier, and operations teams
• Maintain recurring reports and conduct ad hoc analysis
• Develop dashboards and visualizations to help leadership monitor platform performance and identify improvement opportunities
• Write and maintain SQL queries in Snowflake to pull, join, and aggregate spend, catalog, supplier, and order data
• Transform messy source data into clean, documented, reusable tables and views
• Build and maintain Sisense and Tableau dashboards tracking GMV, supplier performance, take rate, and catalog coverage
• Answer ad hoc questions from Supplier GTM, BD, Customer Relations, and Operations by scoping analyses
• Validate data quality, reconcile numbers across sources, and flag discrepancies
• Present findings in clear charts and concise written summaries for non-technical audiences
• Document query logic, table definitions, and metric calculations
• Support the Senior Data Analyst on larger analytics projects and gradually take ownership of workstreams

• 2 to 3 years of experience in a data analyst, BI, or similar role; strong internships count
• Strong SQL skills, including joins, CTEs, window functions, aggregations, and debugging someone else's query
• Hands-on experience with at least one BI tool: Tableau, Sisense, Power BI, or Looker
• Experience cleaning and transforming data using SQL, Python (pandas), or Excel
• Comfort with a cloud data warehouse such as Snowflake
• Attention to detail and ability to validate numbers before sharing
• Clear written and verbal communication, including explaining results to non-technical colleagues
• Bachelor's degree in a quantitative field such as statistics, economics, computer science, engineering, or math, or equivalent experience
• Python for data wrangling or automation is nice to have
• Experience with dbt or another transformation framework is nice to have
• Exposure to marketplace, ecommerce, or procurement data is nice to have
• Familiarity with life sciences, lab supplies, or B2B purchasing is nice to have
• Experience with CRM data such as HubSpot or Salesforce is nice to have
• Comfort using AI tools to speed up querying and analysis is nice to have

• Work-from-home
• Monday to Friday schedule
• Follows US holidays