Strategic Finance Analyst (Remote - EST Hours)

Overview

A Strategic Finance Analyst is needed on a contract basis to join a Forecasting & Business Insights team within a Strategic Finance department. This team focuses on Gross Merchandise Sales (GMS) forecasting, competitive intelligence, and SEC reporting.

Responsibilities

• Develop and maintain predictive forecasting models using SQL, Python, and BigQuery to support company-wide budgeting.
• Provide analytical support for external reporting including SEC filings, earnings presentations, and Investor Relations communications.
• Translate complex datasets into actionable business insights through dashboards and reports using Looker and Google Sheets.
• Independently write high-performance SQL queries to extract insights from GCP/BigQuery datasets, investigating areas such as user behavior, seller trends, and marketplace health.
• Design and maintain Looker dashboards as self-service tools for stakeholders.
• Collaborate on strategic projects and business cases with the Forecasting and Business Insights team.
• Present data findings clearly and concisely to stakeholders, simplifying complex statistical results into understandable narratives.

Requirements

Must-Haves

• Bachelor’s degree in Engineering, Computer Science, Finance, Statistics, Mathematics, or a related quantitative field.
• 2–4 years of experience in a data-intensive role, preferably in a two-sided marketplace, e-commerce, or B2C technology company, working with financial, marketplace, or business operations data.
• Proficiency in SQL, Google Sheets, and Git.
• Experience creating impactful data visualizations and dashboards to support decision-making.
• Ability to write efficient SQL queries for GCP/BigQuery datasets.
• Working knowledge of time-series forecasting methodologies.
• Experience building automated, executive-facing dashboards using Looker, Tableau, or similar tools.
• Strong communication skills to distill complex data into concise, actionable summaries for non-technical stakeholders.

Nice-to-Haves

• Proficiency in Python or R for data analysis.

Hours and Location

• Full-time, 40 hours per week, Monday through Friday.
• Remote position requiring Eastern Standard Time (EST) working hours.

Compensation and Benefits

• Competitive salary range offered.
• Most hires are placed at the median of the salary range, reflecting fair and equitable compensation based on experience and qualifications.