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Pricing Data Analyst

Rogue Fitness Open
Columbus Full-time Mid-level Data Analysis & BI

At a glance

Mid-level Data Analysis & BI role at Rogue Fitness. Columbus · full-time · no salary stated · we estimate $86,000–$135,000 across the United States.

Estimated pay

Rogue Fitness has not published a salary for this role. The figure below is our estimate, not theirs.

$86,000 – $135,000
What the middle half of mid-level data analysis & BI roles in the United States paid, among postings that did state a salary.
Worked out from 905 postings that stated pay, median $105,892. Last updated Nov 6, 2026.
RoleData Analysis & BI
SeniorityMid-level
LocationColumbus
EmploymentFull-time
PostedOct 12, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build and automate pricing templates, cost calculators, and margin reports so teams rely less on manual work
  • Use SQL and data pipelines to keep pricing and cost information clean, dependable, and ready for analysis
  • Analyze margin and landed cost by order and SKU, including tariffs, freight, duty rates, and shipping costs
  • Model how pricing and cost shifts affect results, then track outcomes and flag when updates are needed
  • Turn pricing questions into repeatable analysis, scenarios, forecasts, and clear recommendations for leaders

What you bring

  • A relevant bachelor's degree and three to five years in data analysis, pricing, cost, finance, or equivalent work
  • Working SQL skills, including queries, joins, and aggregations
  • Advanced Excel or Google Sheets skills for maintaining complex models, lookups, and calculators
  • Ability to interpret tariffs, duty codes, freight charges, logistics costs, and raw-material inputs

Who this fits

This mid-level role suits a self-directed analyst who can handle detailed modeling, concurrent projects, and deadlines with limited direction. You’ll work fully onsite in Columbus, Ohio, and must be authorized to work in the United States for any employer.

From the employer

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.

Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Analysis & BI

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.