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Volunteer Data Analyst Jobs in Ohio (NOW HIRING)

The Pricing Data Analyst owns how Rogue prices its products. Partnering across Finance, Sales ... voluntary agreement to send and receive text messages during the recruitment process.

The Pricing Data Analyst owns how Rogue prices its products. Partnering across Finance, Sales ... voluntary agreement to send and receive text messages during the recruitment process.

Adecco is assisting a major client in their search for a Data Analyst in Cincinnati, OH. This is a ... additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit ...

Back Data Analyst Intern #6067 Multiple Locations Apply X Facebook LinkedIn Email Copy Position ... volunteering and community support, employee well-being, and providing quality products and ...

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The Data Analysis Coach supports educators and staff in using data to inform instructional ... Voluntary life insurance (employee, spouse, child) * Discounted childcare at Early Learning ...

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Volunteer Data Analyst information

See Ohio salary details

$32.3K

$78.6K

$129.3K

How much do volunteer data analyst jobs pay per year?

As of Aug 31, 2026, the average yearly pay for volunteer data analyst in Ohio is $78,566.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,400.00 and $92,200.00 per year, depending on experience, location, and employer.

What is a volunteer data analyst?

A Volunteer Data Analyst is an unpaid role where individuals use data analysis skills to support an organization’s goals. This typically involves collecting, cleaning, and interpreting data to provide insights that help with decision-making. Volunteers may work with tools like Excel, SQL, Python, or data visualization software. These roles are common in nonprofits, research institutions, and community initiatives. It's a great opportunity to gain experience, contribute to a cause, and improve analytical skills.

What kinds of projects or tasks does a volunteer data analyst typically work on within nonprofits or community organizations?

Volunteer Data Analysts often help nonprofits collect, clean, and analyze data related to program outcomes, fundraising effectiveness, or community impact. You might work on tasks like developing dashboards, preparing reports for stakeholders, or identifying trends to inform strategic decision-making. Collaboration with program managers, marketing teams, or IT staff is common to ensure data is meaningful and actionable. This hands-on involvement not only builds real-world experience but also provides vital support to organizations that may lack internal data analysis capacity.

What are the key skills and qualifications needed to thrive as a volunteer data analyst, and why are they important?

To thrive as a Volunteer Data Analyst, you need strong quantitative and analytical abilities, proficiency in data interpretation, and experience with data cleaning and visualization. Familiarity with tools such as Excel, SQL, Python or R, and platforms like Tableau is often required, though formal certifications are an advantage. Strong communication, attention to detail, and a collaborative mindset are valuable soft skills for this volunteer-driven environment. These competencies enable accurate data analysis, clear reporting, and effective support of organizational goals with limited resources.

What are the most commonly searched types of Data Analyst jobs in Ohio?

The most popular types of Data Analyst jobs in Ohio are:

What job categories do people searching Volunteer Data Analyst jobs in Ohio look for?

The top searched job categories for Volunteer Data Analyst jobs in Ohio are:

What cities in Ohio are hiring for Volunteer Data Analyst jobs?

Cities in Ohio with the most Volunteer Data Analyst job openings:

Infographic showing various Volunteer Data Analyst job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, 1% Temporary, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $78,566 per year, or $37.8 per hour.

Pricing Data Analyst

Rogue Fitness

Columbus, OH • On-site

Full-time

Re-posted 6 days ago


Rogue Fitness rating

7.9

Company rating: 7.9 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

201st of 495 rated machine equipment manufacturers


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.

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