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Data Analyst Data Science Jobs in Columbus, OH (NOW HIRING)

Kimball Midwest

E-Commerce Data Analyst

Columbus, OH · On-site

Required : • Bachelor's degree in a STEM discipline, Business Analytics, Statistics, Data Science, Marketing Analytics, or a related field; equivalent work experience may be considered. • 2-5 ...

NSG Group

DATA ANALYST

Urbancrest, OH · On-site

Analyze data to identify trends, patterns, and insights that can inform project strategies ... Bachelor degree in Business, Computer Science, Mathematics or related field and two years related ...

NSG Group

DATA ANALYST

Urbancrest, OH · On-site

Analyze data to identify trends, patterns, and insights that can inform project strategies ... Bachelor degree in Business, Computer Science, Mathematics or related field and two years related ...

Varsity Tutors

Data Science Tutor

Columbus, OH · Remote

$40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Kimball Midwest

E-Commerce Data Analyst

Columbus, OH · On-site

Bachelor's degree in a STEM discipline, Business Analytics, Statistics, Data Science, Marketing Analytics, or a related field; equivalent work experience may be considered. * 2-5 years of experience ...

centralins

Data Analyst

Dublin, OH · Hybrid

Bachelor's degree in Computer Science or related field and 2 years of related experience * Or 4 ... Data Modeling experience * Strong analytical and problem-solving skills * Ability to set priorities ...

Collabera

Data Analyst

Hilliard, OH

Analyze data for the purpose of identifying data anomalies, drawing conclusions and determining ... Other relevant work experience may be substituted Qualifications BS in Statistics, Computer Science ...

Express

Customer Data Analyst

Columbus, OH · On-site

Bachelor's degree in Analytics, Data Science, or a related field; MBA or advanced degree a plus * 3-5+ years of experience in data analysis, customer analytics, or marketing analytics * Strong ...

Express

Customer Data Analyst

Columbus, OH · On-site

... Science, or a related field; MBA or advanced degree a plus 3-5+ years of experience in data analysis, customer analytics, or marketing analytics Strong experience working with customer databases and ...

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All JobsData Analyst Data Science JobsData Analyst Data Science Jobs in Columbus, OH

Data Analyst Data Science information

See Columbus, OH salary details

$32.8K

$79.8K

$131.4K

How much do data analyst data science jobs pay per year?

As of Jun 17, 2026, the average yearly pay for data analyst data science 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.

Is 40 too late for data science?

Data analysts and data scientists can start their careers at any age, including 40 or older. Success in data science depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, which can be learned at any stage of life. Many professionals transition into data roles later in their careers with dedication and continuous learning.

How do Data Analysts in Data Science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of the results come from 20% of the efforts or data. Data analysts often use this concept to focus on the most impactful variables or features during analysis and modeling to improve efficiency and accuracy.

What does a Data Analyst in Data Science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

Can data science work as a data analyst?

Data science and data analysis are related fields, but they have different focuses. Data scientists often develop models and algorithms using programming languages like Python or R, while data analysts primarily interpret data, generate reports, and use tools like Excel or SQL. Skills in statistical analysis, data visualization, and understanding business needs are essential for both roles, and some professionals transition between them based on experience and training.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

What are the key skills and qualifications needed to thrive as a Data Analyst in Data Science, and why are they important?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can augment their work, human expertise remains essential for interpreting results, understanding context, and communicating findings effectively. Data analysts who develop skills in machine learning, programming, and data visualization will continue to be valuable in the evolving data science environment.
What are popular job titles related to Data Analyst Data Science jobs in Columbus, OH? For Data Analyst Data Science jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Data Analyst Data Science jobs in Columbus, OH look for? The top searched job categories for Data Analyst Data Science jobs in Columbus, OH are:
What cities near Columbus, OH are hiring for Data Analyst Data Science jobs? Cities near Columbus, OH with the most Data Analyst Data Science job openings:
Data Analyst Data Science jobs near you
Infographic showing various Data Analyst Data Science job openings in Columbus, OH as of June 2026, with employment types broken down into 1% As Needed, 71% Full Time, 23% Part Time, and 5% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $79,822 per year, or $38.4 per hour.
E-Commerce Data Analyst

E-Commerce Data Analyst

Kimball Midwest

Columbus, OH • On-site

Full-time

Posted 7 days ago

Kimball Midwest rating

6.5

Company rating: 6.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

244th of 338 rated retail wholesalers

Job description

Job Summary:
Kimball Midwest, a national distributor of maintenance, repair, and operation products, is searching for an E-Commerce Data Analyst for their Columbus, OH location. The role involves developing advanced analytics models and reporting solutions to generate actionable business insights and improve marketing effectiveness.
Responsibilities:
• Develop and maintain advanced analytics models, dashboards, and reporting solutions using SQL, R, and other analytical tools.
• Apply forecasting, predictive modeling, clustering, and machine learning techniques to generate actionable business insights.
• Analyze marketing, customer, and sales data to identify trends, anomalies, opportunities, and areas for optimization.
• Conduct ad hoc analyses to answer business questions and support strategic initiatives.
• Segment customers and prospects to identify high-value audiences, growth opportunities, and targeted marketing strategies.
• Evaluate customer behavior, purchasing patterns, and campaign performance to improve marketing effectiveness.
• Create and maintain data visualizations that effectively communicate findings to technical and non-technical audiences.
• Perform data extraction, cleansing, validation, and preparation using SQL and other data management tools.
• Identify process improvement opportunities and develop standardized reporting and analytical practices.
• Manage multiple projects simultaneously while meeting deadlines in a fast-paced environment.
• Collaborate effectively with cross-functional teams, including Marketing, Sales, IT, and Leadership.
• Communicate analytical findings and recommendations clearly through written reports, presentations, and discussions.
• Demonstrate strong analytical thinking, organizational skills, and project management capabilities.
• Exhibit intellectual curiosity, continuous learning, and a proactive approach to problem-solving.
• Work independently while contributing effectively within team environments.
• Maintain a working knowledge of marketing best practices, tactics, and strategies, with the ability to measure and evaluate program performance.
• Experience working with web analytics platforms and digital marketing performance data.
• Effectively prioritize workload and manage time across competing business priorities.
Qualifications:
Required:
• Bachelor's degree in a STEM discipline, Business Analytics, Statistics, Data Science, Marketing Analytics, or a related field; equivalent work experience may be considered.
• 2–5 years of experience in marketing analytics, business analytics, data science, or a related analytical role.
• Advanced proficiency in SQL and Microsoft Excel.
• Experience with statistical programming languages such as R or Python.
• Experience developing dashboards and visualizations using business intelligence tools such as Tableau, Power BI, or Looker.
• Demonstrated ability to translate complex data into actionable business recommendations.
Preferred:
• Microsoft Certified Power BI Data Analyst Associate certification or equivalent experience.
Company:
Kimball Midwest is an e-commerce store that offers an array of abrasive, automotive, electrical, paint, and cleaning products. Founded in 1923, the company is headquartered in Columbus, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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