ZipRecruiter

Log In

1

Data Analyst Python Sql Jobs in Columbus, OH (NOW HIRING)

Rogue Fitness

Pricing Data Analyst

Columbus, OH · On-site

The role blends pricing and cost expertise with hands-on data work in R/SQL,Google Sheets, and ... Familiarity with R or Python for automation and scripting preferred; experience automating ...

Emonics LLC

Junior Data Analyst

Columbus, OH · On-site

The ideal candidate should be comfortable working with Excel, SQL, data visualization tools, and ... Analyze datasets to identify trends, patterns, and insights. * Prepare regular reports, dashboards ...

OCLC, Inc.

Associate Data/ Metadata Analyst

Dublin, OH · On-site

The Associate Data Analyst/Metadata Analyst manages the lifecycle of bibliographic and holdings ... Exposure to scripting languages (Python, SQL, or XSLT) and data transfer protocols (SFTP, APIs, or ...

Hart

Junior Data Analyst

Columbus, OH · On-site

$55 - $70/hr

Analyze performance data across social media and marketing campaigns (paid and organic) * Create ... Some exposure to basic coding/scripting (SQL, Python) is a plus * Basic understanding of ETL ...

Collabera

Data Analyst

Hilliard, OH · On-site

... SQL statements required Experience with R or SAS required. Experience with Oracle or Teradata database desired Prior experience in a data analytics role strongly preferred Knowledge of statistical ...

DPDHL

Lead Business Data Analyst

Westerville, OH · On-site

$85K - $150K/yr

The Lead Business Data Analyst role has a national salary range of $85,000- $150,000. DHL Supply ... understanding of SQL, required * Experience with programming or coding (Python, Java, VB, etc ...

New

DHL

Lead Business Data Analyst

Westerville, OH · On-site

$85K - $150K/yr

The Lead Business Data Analyst role has a national salary range of $85,000- $150,000. DHL Supply ... understanding of SQL, required * Experience with programming or coding (Python, Java, VB, etc ...

The Hartford

Sr Business Data Analyst

Columbus, OH · On-site

$100K - $150K/yr

The ideal candidate will demonstrate exceptional communication skills, experience in data analysis, and strong SQL abilities to gather required data from various data sources. You will engage with a ...

Siri InfoSolutions Inc

SQL DBA

Columbus, OH · On-site

$48.25 - $60.25/hr

Automate database administration tasks using scripts (Shell, Python, SQL). Perform database ... Configure and manage Oracle Real Application Clusters (RAC), Data Guard, and RMAN. Implement and ...

Danaher

Digital Analyst Internships

Columbus, OH

$95K - $112K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

previous pagenext page

Showing results 21-40

All JobsData Analyst Python Sql JobsData Analyst Python Sql Jobs in Columbus, OH

Data Analyst Python Sql information

See Columbus, OH salary details

$32.8K

$79.8K

$131.4K

How much do data analyst python sql jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data analyst python sql in Columbus, OH is $79,822.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,400.00 and $93,700.00 per year, depending on experience, location, and employer.

What is a data analyst Python SQL?

Data Analyst Python SQL jobs involve analyzing and interpreting data to help organizations make informed business decisions. These professionals use Python for data manipulation, automation, and visualization, and SQL for querying and managing data stored in relational databases. Typical tasks include data cleaning, building reports, extracting insights, and creating dashboards. Data Analysts often collaborate with other teams to understand data requirements and communicate findings through presentations or visualizations. Proficiency in both Python and SQL is essential for efficiently handling large data sets and solving complex analytical problems.

What are the key skills and qualifications needed to thrive as a data analyst with Python and SQL?

To thrive as a Data Analyst specializing in Python and SQL, you need strong analytical skills, statistical knowledge, and proficiency in data manipulation, typically supported by a relevant degree or certification. Expertise in Python for data analysis, SQL for database querying, and experience with visualization tools like Tableau or Power BI are commonly expected. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills help ensure accurate analysis, impactful reporting, and informed decision-making within organizations.

How does a data analyst using Python and SQL typically collaborate with other departments within an organization?

Data Analysts proficient in Python and SQL frequently work alongside teams such as marketing, product development, finance, and operations. They gather requirements from stakeholders, translate business questions into data queries, and present actionable insights through dashboards or reports. Regular meetings and clear communication are essential to ensure that data solutions align with business goals, and Data Analysts often act as a bridge between technical data teams and non-technical decision makers. This collaborative environment helps drive data-informed decisions across the organization.

What is the difference between Data Analyst Python Sql vs Data Scientist?

AspectData Analyst Python SqlData Scientist
Required SkillsExcel, SQL, Python basics, data visualizationAdvanced Python, machine learning, statistical modeling
Work EnvironmentBusiness intelligence, reporting, dashboardsPredictive modeling, research, complex data analysis
Industry UsageFinance, marketing, retail, healthcareTech, finance, research institutions, startups

While Data Analysts with Python and SQL focus on interpreting data, creating reports, and visualizations, Data Scientists build predictive models and perform advanced statistical analysis. Both roles require Python and SQL skills, but Data Scientists typically have a stronger background in statistics and machine learning, making their work more research-oriented.

What are popular job titles related to Data Analyst Python Sql jobs in Columbus, OH?

For Data Analyst Python Sql jobs in Columbus, OH, the most frequently searched job titles are:

What job categories do people searching Data Analyst Python Sql jobs in Columbus, OH look for?

The top searched job categories for Data Analyst Python Sql jobs in Columbus, OH are:

What cities near Columbus, OH are hiring for Data Analyst Python Sql jobs?

Cities near Columbus, OH with the most Data Analyst Python Sql job openings:

Data Analyst Python Sql jobs near you
Infographic showing various Data Analyst Python Sql job openings in Columbus, OH as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $79,822 per year, or $38.4 per hour.

Pricing Data Analyst

Rogue Fitness

Columbus, OH • On-site

Full-time

Re-posted 11 days ago

Rogue Fitness rating

7.9

Company rating: 7.9 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

204th of 499 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.

What Rogue Fitness employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply