Data Analyst

This is a fully remote position, open to applicants in Philippines.

📋 Description

• Convert raw marketplace data into precise and valuable insights that aid commercial, supplier, and operations teams.

• Manage regular reports and perform ad hoc analyses as needed.

• Create dashboards and visualizations to assist leadership in tracking platform performance and uncovering areas for improvement.

• Write and maintain SQL queries in Snowflake to extract, join, and aggregate spend, catalog, supplier, and order data.

• Refine disorganized source data into clean, well-documented, and reusable tables and views.

• Develop and sustain Sisense and Tableau dashboards that monitor GMV, supplier performance, take rate, and catalog coverage.

• Address ad hoc inquiries from Supplier GTM, BD, Customer Relations, and Operations by defining analyses.

• Ensure data quality, reconcile figures across different sources, and identify discrepancies.

• Present findings through clear charts and succinct written summaries tailored for non-technical audiences.

• Document query logic, definitions of tables, and calculations of metrics.

• Assist the Senior Data Analyst with larger analytics projects and gradually assume ownership of specific workstreams.

⛳️ Requirements

• 2 to 3 years of experience in a data analyst, BI, or similar role; relevant internships are also considered.

• Proficient in SQL, including joins, CTEs, window functions, aggregations, and debugging queries developed by others.

• Practical experience with at least one BI tool: Tableau, Sisense, Power BI, or Looker.

• Background in cleaning and transforming data using SQL, Python (pandas), or Excel.

• Familiarity with a cloud data warehouse such as Snowflake.

• Strong attention to detail and ability to verify numbers prior to dissemination.

• Excellent written and verbal communication skills, including the ability to explain results to non-technical colleagues.

• Bachelor's degree in a quantitative discipline such as statistics, economics, computer science, engineering, or mathematics, or equivalent experience.

• Proficiency in Python for data manipulation or automation is a plus.

• Experience with dbt or another transformation framework is a plus.

• Exposure to marketplace, ecommerce, or procurement data is a plus.

• Familiarity with life sciences, lab supplies, or B2B purchasing is a plus.

• Experience with CRM data such as HubSpot or Salesforce is a plus.

• Comfort using AI tools to enhance querying and analysis efficiency is a plus.

🏝️ Benefits

• Work-from-home flexibility.

• Monday to Friday work schedule.

• Observance of US holidays.