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Entry Level People Analytics Jobs in Ohio (NOW HIRING)

Be Seen First

This position is on-site, and we are looking for people who share our passion. Position ... Support direct marketing campaign planning, production and analysis as needed. Minimum Requirements

Be Seen First

This position is on-site, and we are looking for people who share our passion. Position ... Support direct marketing campaign planning, production and analysis as needed. Minimum Requirements

Entry Level Recruiter

Cincinnati, OH · On-site +1

$34K - $45K/yr

Ability to analyze data and metrics to improve recruitment strategies; and * Highly organized with ... Headquartered in Cincinnati, Ohio, we employ more than 6,500 people across 40+ countries. Why ...

Entry Level Recruiter

Cincinnati, OH · On-site

$34K - $45K/yr

Ability to analyze data and metrics to improve recruitment strategies; and * Highly organized with ... Headquartered in Cincinnati, Ohio, we employ more than 6,500 people across 40+ countries. Why ...

Campus Consulting Analyst

Columbus, OH · On-site

$68K - $72K/yr

Fortune's Best Workplaces in Consulting (2022-2024) Who succeeds here The people who build ... data analytics, and organizational change to help clients solve complex business challenges.

Do you enjoy connecting people to reliable telecommunication services while engaging directly with ... Conduct consultative needs analyses to tailor product recommendations for each prospective customer

Do you enjoy connecting people to reliable telecommunication services while engaging directly with ... Conduct consultative needs analyses to tailor product recommendations for each prospective customer

Showing results 21-40

Entry Level People Analytics information

What is an entry level people analytics job?

Entry level people analytics jobs involve using data analysis to help organizations understand and improve their workforce. Professionals in these roles typically collect, analyze, and report on HR data, such as employee engagement, turnover, and performance metrics. They work closely with HR and business leaders to provide insights that inform talent management and organizational strategies. Most entry-level positions require skills in data analysis, basic statistics, and familiarity with tools like Excel or HR software.

How does an entry level people analytics professional typically collaborate with HR and other departments?

Entry-level people analytics professionals often work closely with HR teams to gather, analyze, and interpret employee data, supporting initiatives such as talent management, engagement surveys, and diversity programs. They may also partner with IT to access HR systems or with business units to understand workforce needs. Regular communication and collaboration are key, as findings often inform broader organizational strategies and decisions. This role provides a great opportunity to develop cross-functional skills and gain exposure to various areas within the company.

What are the key skills and qualifications needed to thrive as an entry level people analytics professional, and why are they important?

To thrive as an Entry Level People Analytics professional, you need a background in data analysis, statistics, and human resources, often supported by a relevant degree such as business, psychology, or data science. Familiarity with data visualization tools (e.g., Tableau, Power BI), HR information systems, and proficiency in Excel or statistical software like R or Python is typically expected. Strong analytical thinking, attention to detail, and effective communication skills help you interpret data and present actionable insights to stakeholders. These skills and qualities are crucial for translating workforce data into strategies that drive organizational performance and employee engagement.

What are the most commonly searched types of People Analytics jobs in Ohio?

The most popular types of People Analytics jobs in Ohio are:

What are popular job titles related to Entry Level People Analytics jobs in Ohio?

For Entry Level People Analytics jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Entry Level People Analytics jobs in Ohio look for?

The top searched job categories for Entry Level People Analytics jobs in Ohio are:

Infographic showing various Entry Level People Analytics job openings in Ohio as of August 2026, with employment types broken down into 92% Full Time, and 8% Part Time. Highlights an 96% In-person, and 4% Hybrid job distribution.

Associate Data/ Metadata Analyst

Management Institute of Canada

Dublin, OH • Hybrid

Full-time

Medical, Retirement

Posted 10 days ago


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. Werecognize 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 tness 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.