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Entry Level Statistical Analyst Jobs in Columbus, OH

OCLC, Inc.

Associate Data/ Metadata Analyst

Dublin, OH · On-site

Bachelor's degree in computer science, math, statistics, or related field and internship experience with data analysis or creation of library data. * Entry-level analytical and communication skills ...

Clearsulting

Campus Consulting Analyst

Columbus, OH · On-site

$68 - $72/hr

Utilize cutting-edge statistical tools and software to analyze large datasets and extract meaningful insights. * Engage in internal projects that offer opportunities for learning and personal growth.

Clearsulting LLC

Campus Consulting Analyst

Columbus, OH · On-site

$68 - $72/hr

Utilize cutting-edge statistical tools and software to analyze large datasets and extract meaningful insights. * Engage in internal projects that offer opportunities for learning and personal growth.

REV Group

Mechanical Engineer - Entry Level

Grove City, OH · On-site

$55 - $75/hr

Experience with statistical techniques and data analysis. * Strong communication and interpersonal skills with ability to work directly with hourly production employees and leadership concerning ...

New

WSP

Entry Level Survey Technician

Columbus, OH · On-site

Attend a Job Hazard Analysis Meeting every morning with field crew. * Locate and probe existing ... statistical documentation, studies and surveys, and construction. * Exercise responsible and ...

WSP

Entry Level Survey Technician

Columbus, OH · On-site

Attend a Job Hazard Analysis Meeting every morning with field crew. * Locate and probe existing ... statistical documentation, studies and surveys, and construction. * Exercise responsible and ...

Pwc

AI & GenAI Data Scientist - Manager

Columbus, OH · On-site

$99K - $232K/yr

... Statistics, Data Processing/Analytics/Science, Artificial Intelligence and Robotics - At least one ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Entry Level Statistical Analyst information

See Columbus, OH salary details

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How much do entry level statistical analyst jobs pay per year?

As of Sep 4, 2026, the average yearly pay for entry level statistical analyst in Columbus, OH is $68,048.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,500.00 and $78,200.00 per year, depending on experience, location, and employer.

What is an entry level statistical analyst?

An Entry Level Statistical Analyst is responsible for collecting, analyzing, and interpreting data to help organizations make informed decisions. They use statistical techniques and software to identify trends, create reports, and support business or research objectives. Common tasks include data cleaning, running statistical tests, and developing visualizations. This role typically requires proficiency in tools like Excel, SQL, R, or Python, as well as a strong foundation in statistics and data analysis. It is a great starting point for individuals looking to build a career in data science, business analytics, or research.

What are some typical projects or responsibilities for an entry level statistical analyst?

As an Entry Level Statistical Analyst, you can expect to work on tasks like collecting and cleaning data, running statistical tests, creating basic reports, and assisting senior analysts with larger research projects. You may be asked to prepare visualizations, help identify trends or anomalies, and support the decision-making process by presenting findings to team members or stakeholders. Collaboration is common, as analysts often work alongside data engineers, business analysts, and project managers. This hands-on work provides excellent learning opportunities and helps build a strong foundation for career advancement.

What are the key skills and qualifications needed to thrive in the entry level statistical analyst position, and why are they important?

To thrive as an Entry Level Statistical Analyst, you need a solid foundation in statistical methods, data analysis, and a relevant degree in statistics, mathematics, or a related field. Familiarity with tools such as Excel, SQL, R, or Python, and knowledge of data visualization platforms like Tableau or Power BI, is typically expected. Strong problem-solving skills, attention to detail, and the ability to communicate complex findings in a clear manner help set candidates apart. These skills ensure accurate data interpretation, effective collaboration, and the ability to provide actionable insights that support business goals.

What are the most commonly searched types of Statistical Analyst jobs in Columbus, OH?

The most popular types of Statistical Analyst jobs in Columbus, OH are:

What are popular job titles related to Entry Level Statistical Analyst jobs in Columbus, OH?

For Entry Level Statistical Analyst jobs in Columbus, OH, the most frequently searched job titles are:

What job categories do people searching Entry Level Statistical Analyst jobs in Columbus, OH look for?

The top searched job categories for Entry Level Statistical Analyst jobs in Columbus, OH are:

What cities near Columbus, OH are hiring for Entry Level Statistical Analyst jobs?

Cities near Columbus, OH with the most Entry Level Statistical Analyst job openings:

Entry Level Statistical Analyst jobs near you
Infographic showing various Entry Level Statistical Analyst job openings in Columbus, OH as of August 2026, with employment types broken down into 86% Full Time, 9% Part Time, and 5% Contract. Highlights an 79% Physical, 8% Hybrid, and 13% Remote job distribution, with an average salary of $68,048 per year, or $32.7 per hour.

Associate Data/ Metadata Analyst

OCLC, Inc.

Dublin, OH • On-site

Full-time

Medical, Retirement

Posted 24 days ago

Key responsibilities

  • Manage the lifecycle of bibliographic and holdings data, including ingestion, normalization, enrichment, and matching.

  • Assess data quality by profiling incoming data, identifying issues, and troubleshooting data quality problems.

  • Support technical workflows by applying scripts, monitoring data quality through dashboards, and utilizing AI-assisted tools for record matching and field mapping.

Job description

Together we make breakthroughs possible.
At OCLC, we build technology with a purpose: to connect libraries and make knowledge accessible worldwide, because we believe that what is known must be shared. Our teams work with complex global datasets, AI and machine learning, hybrid cloud solutions, and other technologies that connect people and organizations to the information they need. We value the power of unique perspectives and experiences to unlock innovation. At OCLC, your ideas matter, whether you have two years of experience or 20. You'll learn, create, and problem-solve with technologists, product developers, librarians, researchers, marketing pros, and support teams around the world.
Why join OCLC?
OCLC is consistently recognized as a best place to work by several independent programs. We recognize and reward people and results with a comprehensive Total Rewards package. This means competitive compensation that reflects your unique contributions-performance, experience, and skills-along with exceptional benefits, including best-in-class health coverage, retirement plans with generous company contributions, and a commitment to your overall well-being.
  • We know the best ideas don't always happen at a desk. Take a walking meeting around our 100-acre campus or enjoy lunch on the patio. We're committed to your success-both personally and professionally. Hybrid work environment: For many roles, three days a week on-site, with occasional additional days based on business needs.
  • Free use of our on-site fitness center, gym sports, group exercise classes, and game room
  • Onsite catering and cafeteria subsidized by OCLC
  • Health and wellness events
  • Work environments with individual and team spaces and the latest technology tools
  • Paid parental leave and adoption assistance
  • Tuition reimbursement and Public Service Loan Forgiveness eligibility
  • Company-subsidized pricing on local tickets and memberships

Join us in transforming how people everywhere access information and be part of a mission-driven team that makes a global impact.
The job details are as follows:
The Associate Data Analyst/Metadata Analyst manages the lifecycle of bibliographic and holdings data, ensuring accuracy and integrity through evaluation, transformation, and maintenance. This entry-level role combines metadata expertise with developing technical skills in scripting, automation, and AI-assisted workflows. Working under regular supervision, the Associate will transition from executing well-defined tasks to taking ownership of complex data projects. This is an opportunity to develop expertise at the intersection of library data, modern data engineering, and emerging AI - in a team that invests in the growth of its people.
Responsibilities:
Data Operations & Quality
  • Data Lifecycle Management: Perform data ingest, normalization, enrichment, and matching according to established standards (e.g., MARC, KBART).
  • Quality Assessment: Profile incoming data to identify and resolve structural issues, encoding errors, and tagging discrepancies.
  • Troubleshooting: Investigate and resolve data quality issues, escalating complex problems to senior staff as needed.
  • Vendor Communication: Coordinate with external data providers and partner institutions regarding routine data specifications and quality issues.
Technical Solutions & Automation
  • Pipeline Support: Apply existing scripts and automated workflows to process data; identify inefficiencies and suggest process improvements.
  • Data Visualization: Use and interpret dashboards (e.g., Power BI) to monitor data quality trends and communicate findings.
  • AI Integration: Utilize AI-assisted tools for record matching and field mapping; contribute structured feedback that helps improve AI model accuracy over time.
Collaboration & Documentation
  • Knowledge Management: Document data source profiles, processing decisions, and technical workflows to ensure team-wide knowledge sharing.
  • Team Support: Execute foundational tasks to support senior analysts and participate in platform improvement projects.

Minimum Required Knowledge, Skills and Experience:
  • Bachelor's degree in computer science, math, statistics, or related field and internship experience with data analysis or creation of library data.
  • Entry-level analytical and communication skills, with attention to data quality while working under regular supervision.

Preferred Knowledge, Skills and Experience:
  • Metadata Standards: Foundational knowledge of MARC, Dublin Core, KBART, or BIBFRAME.
  • Technical Tools: Exposure to scripting languages (Python, SQL, or XSLT) and data transfer protocols (SFTP, APIs, or AWS S3).
  • Data Platforms: Conceptual familiarity with cloud data stores (e.g., Snowflake) and visualization tools (e.g., Power BI, Streamlit).
  • Emerging Tech: Interest in applying AI and linked data concepts (e.g., Schema.org) to library data challenges.

Working Conditions: Normal office environment.
ADA/EAA: The above statements cover what are generally believed to be principal and essential functions of this job. Specific circumstances may allow or require some people assigned to the job to perform a somewhat different combination of duties.

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