Data Analyst

Role overview

This position sits at the intersection of Finance, Accounting, Supply Chain, and Operations. The analyst will support the business by building, automating, and maintaining reporting and analysis related to sales, cost, and shipping across the company’s regional footprint. The work spans the United States, Europe, Canada, and Australia, with ownership over how products are costed and shipped. The role also includes creating leadership-ready reporting, evaluating carrier pricing and surcharges, and handling ad hoc data requests that influence day-to-day decisions. It is a high-impact role with broad responsibility, suited to someone who works independently, stays organized, and likes moving a problem from initial question to practical solution.

Work arrangement

This is a fully onsite position based in Columbus, Ohio. Remote work is not available.

Eligibility

Applicants must already be authorized to work in the United States for any employer.

Responsibilities

• Design, update, and automate reporting for sales, cost, and ecommerce performance across multiple geographies and currencies.
• Write and maintain SQL and BigQuery queries that provide accurate, dependable data to internal teams.
• Review freight and shipping expenses, including carrier pricing, surcharges, dimensional weight, and seasonal rate changes, and measure the effect of contract or rate adjustments.
• Manage landed-cost, COGS, and manufacturing P&L models, including tracking costs and reconciling duties and taxes, while checking for variances and accuracy issues.
• Set up automated recurring reporting using scheduled jobs and scripting to reduce manual effort and improve process durability.
• Handle one-off data and analysis requests from leadership and stakeholders to support decisions in pricing, sourcing, and logistics.
• Spot operational or analytical issues, then recommend and help implement improvements to business processes.

Qualifications

• A bachelor’s degree in a relevant area such as Finance, Accounting, Economics, Statistics, Data Analytics, or an equivalent discipline.
• 0 to 3 years of analytics experience; candidates without full-time experience are welcome if they have strong relevant coursework, internships, or academic projects.
• Practical SQL knowledge, including queries, joins, and aggregations; experience with BigQuery or another cloud data warehouse is beneficial.
• Advanced proficiency in Microsoft Excel or Google Sheets, including the ability to build and maintain complex models.
• A self-starting approach and comfort operating in a fast-moving, deadline-sensitive environment with minimal supervision.
• Strong organizational habits and excellent attention to detail while managing multiple active priorities.
• Exposure to or working knowledge of Python, R, or JavaScript is preferred.
• Interest in, or prior exposure to, cost accounting, shipping and logistics, or manufacturing operations is an advantage.

Additional notes

By submitting an application, you agree to receive and send text messages during the recruitment process through the employer’s preferred communication method.