Job description

Job Description: The Pricing Data Analyst owns how Rogue prices its products. Partnering across Finance, Sales, Procurement, Supply Chain, and Operations, this role builds, automates, and maintains the pricing models, cost calculators, and reporting that pricing decisions depend on. You ll analyze margin and landed cost at the order and SKU level, quantify the impact of cost and price changes, keep the pricing sheets and tools the business runs on accurate, and turn ad-hoc questions into repeatable, reliable analysis. The role blends pricing and cost expertise with hands-on data work in R/SQL,Google Sheets, and scripting. It carries a wide range of high-impact projects and significant room for ownership. Successful candidates are self-directed, detail-obsessed, and eager to take problems from question through to solution. The Pricing Data Analyst is a fully onsite role in Columbus, Ohio. Remote work is not available. Applicants must be authorized to work in the United States for any employer. Responsibilities Build, maintain, and automate pricing templates and margin reporting, reducing manual work and future-proofing existing processes. Develop and maintain SQL/BigQuery queries and pipelines to deliver clean, reliable pricing and cost data. Perform order- and SKU-level margin and landed-cost analysis — tariffs, duty/HTS rates, freight, and shipping components — to ensure pricing supports profitability targets across regions and currencies. Quantify the impact of price and cost changes (raw materials, freight, tariffs/duty, etc) and track results after changes go live. Monitor economic and cost drivers, proactively flag when changes require pricing updates, and recommend actions to leadership. Maintain and improve regional pricing logic and templates Provide scenario modeling for cost changes, competitive pressure, customer programs, and economic shifts. Support quarterly, annual, and ad-hoc pricing updates, plus budgeting and forecasting related to pricing and cost trends. Collaborate with Sales, Operations, Procurement, Supply Chain, and Finance to gather accurate cost inputs and validate pricing assumptions. Identify data-quality and process issues, then recommend and implement improvements to pricing accuracy and workflows. Prepare reports that highlight margin performance, pricing risks, economic impacts, and recommended actions Qualifications Bachelor s degree in a relevant field (Finance, Accounting, Economics, Statistics, Data Analytics, or similar); MBA a plus. 3–5 years in a data analyst role, cost, financial, or, pricing or equivalent. Working knowledge of SQL (writing queries, joins, aggregations); experience with BigQuery or another cloud data warehouse is a plus. Advanced Excel/Google Sheets skills, including building and maintaining complex models, lookups, and calculators. This is a modeling- and data-intensive role. Ability to interpret tariffs, duty/HTS codes, freight and logistics charges, and raw-material cost inputs. Familiarity with R or Python for automation and scripting preferred; experience automating recurring reporting (scheduled jobs, scripting) is a plus. High attention to detail and accuracy across many concurrent projects. Strong communication skills, with the ability to present findings and recommendations clearly. Self-motivated and comfortable in a fast-paced, in-office, deadline-driven environment with limited direction. By applying to Rogue, regardless of the platform you choose to use, you are agreeing to Rogue s preferred methods of communication (i.e. text message). Submitting an application, through whatever online forum is ultimately used, constitutes a knowing and voluntary agreement to send and receive text messages during the recruitment process.

Requirements

Must-haves

The Pricing Data Analyst is a fully onsite role in Columbus, Ohio. Remote work is not available. Applicants must be authorized to work in the United States for any employer.
Build, maintain, and automate pricing templates and margin reporting, reducing manual work and future-proofing existing processes.
Develop and maintain SQL/BigQuery queries and pipelines to deliver clean, reliable pricing and cost data.
Perform order- and SKU-level margin and landed-cost analysis — tariffs, duty/HTS rates, freight, and shipping components — to ensure pricing supports profitability targets across regions and currencies.
Quantify the impact of price and cost changes (raw materials, freight, tariffs/duty, etc) and track results after changes go live.
Monitor economic and cost drivers, proactively flag when changes require pricing updates, and recommend actions to leadership.
Maintain and improve regional pricing logic and templates
Provide scenario modeling for cost changes, competitive pressure, customer programs, and economic shifts.
Support quarterly, annual, and ad-hoc pricing updates, plus budgeting and forecasting related to pricing and cost trends.
Collaborate with Sales, Operations, Procurement, Supply Chain, and Finance to gather accurate cost inputs and validate pricing assumptions.
Identify data-quality and process issues, then recommend and implement improvements to pricing accuracy and workflows.
Prepare reports that highlight margin performance, pricing risks, economic impacts, and recommended actions
3–5 years in a data analyst role, cost, financial, or, pricing or equivalent.
Advanced Excel/Google Sheets skills, including building and maintaining complex models, lookups, and calculators. This is a modeling- and data-intensive role.
Ability to interpret tariffs, duty/HTS codes, freight and logistics charges, and raw-material cost inputs.
High attention to detail and accuracy across many concurrent projects.
Strong communication skills, with the ability to present findings and recommendations clearly.
Self-motivated and comfortable in a fast-paced, in-office, deadline-driven environment with limited direction.

Nice-to-haves

Bachelor s degree in a relevant field (Finance, Accounting, Economics, Statistics, Data Analytics, or similar); MBA a plus.
Working knowledge of SQL (writing queries, joins, aggregations); experience with BigQuery or another cloud data warehouse is a plus.
Familiarity with R or Python for automation and scripting preferred; experience automating recurring reporting (scheduled jobs, scripting) is a plus.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

sqlgopython

Platform: workday
Effort: long