1

Meta Data Analyst Jobs in Ohio (NOW HIRING)

Operations Research Analyst

Beavercreek, OH ยท On-site

$91K - $108K/yr

  • Medical

  • Dental

  • Vision

  • Life

Bachelor's degree or higher in Mathematics, Statistics, Data Science, Operations Research, or ... meta-model development * Experience working with statistical software such as JMP and MATLAB

Data acquisition software * FEA Software Abaqus, Nastran, Hypermesh, Ansa, Meta, LS-DYNA * Scripting in Java, Python, MATLAB Preferred Qualifications: * Experience in data analysis and communication ...

In conjunction with the Meta PreCon Manager and with the support of the CW Site Scheduling team ... and analysis of resource data * Experience developing/managing an Owner's planning/scheduling ...

Paid Media Manager

Cincinnati, OH ยท On-site

$85K - $111K/yr

* Plan, execute, and optimize paid media campaigns across various channels including Google Ads, Meta ... Ability to gather and analyze data, create reports, and present findings to clients. * In-depth ...

Manager, Digital Paid Media

Cincinnati, OH ยท On-site

$87K - $113K/yr

Work with IT and analytics on tracking infrastructure, conversion measurement, and data quality ... Meta, TikTok, others). * Strong working knowledge of programmatic, display, and emerging paid ...

... Meta Ads Excellent communication, presentation, and interpersonal skills Analytical mindset with a talent for problem-solving and data-driven decision making Proven project management skills with ...

Vice President - Marketing

Westlake, OH ยท On-site

$180 - $320/hr

... Meta, programmatic, paid social), affiliates, partnerships, and earned/SEO.Drive a weekly testing ... Analytics, MarTech & AttributionOwn the marketing data and measurement stack end-to-end: CDP ...

New

Showing results 41-60

Meta Data Analyst information

See Ohio salary details

$32.3K

$78.6K

$129.3K

How much do meta data analyst jobs pay per year?

As of Aug 14, 2026, the average yearly pay for meta 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 are the typical daily responsibilities of a meta data analyst?

As a Meta Data Analyst, your daily tasks often include collecting, organizing, and maintaining metadata that describes an organization's data assets. You will collaborate closely with data engineers, business analysts, and IT teams to ensure data assets are accurately documented and easily accessible. Reviewing and updating data dictionaries, applying data governance frameworks, and supporting compliance efforts are also common aspects of the role. Staying up-to-date with best practices and troubleshooting data lineage or quality issues are part of your routine, making attention to detail and proactive communication critical for success.

Is it still worth it to become a meta data analyst in 2026?

Meta Data Analysts are in demand for managing and interpreting large datasets, especially as organizations increasingly rely on data-driven decision-making. Skills in database management, data visualization tools, and programming languages like SQL or Python enhance job prospects, which are expected to remain stable through 2026 due to ongoing growth in data analytics needs.

What are the key skills and qualifications needed to thrive as a meta data analyst?

To thrive as a Meta Data Analyst, you need a strong background in data management, information systems, and data governance, often supported by a degree in computer science or information technology. Familiarity with metadata management tools (such as Collibra or Informatica), database systems, and knowledge of relevant data privacy and compliance standards is crucial. Attention to detail, analytical thinking, and strong communication skills help analysts effectively document metadata and collaborate with cross-functional teams. These skills are essential to ensure accurate data cataloging, facilitate data quality, and support efficient data-driven decision-making across an organization.

What is a meta data analyst?

A Meta Data Analyst is responsible for managing and analyzing metadata, which is data about data, to improve data governance, discoverability, and quality. They work with databases, data catalogs, and systems to ensure accurate metadata tagging and organization. Their role supports data management strategies by enhancing data lineage, classification, and compliance with industry standards. Meta Data Analysts collaborate with data engineers, scientists, and business teams to optimize data usability and accessibility.

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

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

Infographic showing various Meta Data Analyst job openings in Ohio as of August 2026, with employment types broken down into 82% Full Time, 12% Part Time, and 6% Contract. Highlights an 88% In-person, 6% Hybrid, and 6% Remote job distribution, with an average salary of $78,566 per year, or $37.8 per hour.

Operations Research Analyst

Radiance Technologies

Beavercreek, OH โ€ข On-site

$91K - $108K/yr

Full-time

Medical, Dental, Vision, Life

Posted 23 days ago


Job description

Radiance Technologies is an employee-owned company with benefits that are unmatched by most companies in the Dayton, Ohio area. Employee ownership, generous profit sharing, competitive salaries, full health/dental/life/vision insurance benefits, educational reimbursement, interesting assignments, and a pleasant work environment combine to make Radiance a great place to work and succeed.

We are searching for a talented analyst to join our Modeling, Simulation, & Analysis (MS&A) team in support of various missions in Dayton, OH. The candidate will be expected to enhance analytical efforts that are centered around the Advanced Framework for Simulation, Integration and Modeling (AFSIM) Modeling & Simulation (M&S) framework by tackling complex decision-making challenges using scientific methods like mathematical modeling, statistics, and optimization. The candidate will assist in applying optimization techniques and tools to high-fidelity engineering-level analysis of conceptual systems and few-on-few engagement-level simulations. The candidate will also assist in developing analytical procedures and tools for large-scale experimentation. The candidate's efforts will directly impact the performance and effectiveness of military operations through deep analysis, simulation, and optimization. The candidate will work closely with both Government stakeholders and Radiance teammates across the country supporting AFRL, NASIC, and other Intelligence Community (IC) missions. We are focused on finding innovative self-starters who can adapt to a fast-paced, high-profile analytical effort.

Required Skills/Qualifications

  • Strong communication and organizational skills

  • Bachelor's degree or higher in Mathematics, Statistics, Data Science, Operations Research, or related field

  • US citizenship with the ability to obtain and maintain a TS/SCI security clearance

  • Minimum of a SECRET Collateral security clearance

Required Experience

  • Minimum of 4 years of analytical experience

  • Minimum of 2 years of experience in Python

  • Experience using analytical techniques such as descriptive statistics, correlation, analysis of variance, and optimization

Desired Qualifications/Experience

  • Experience in development and execution of DOE-based analysis plans

  • Experience using analytical techniques such as uncertainty quantification, sensitivity analysis, and meta-model development

  • Experience working with statistical software such as JMP and MATLAB

  • Experience working with DOE software such as Dakota, PIANO, and HAL

  • Experience working with MS&A tools such as AFSIM, NGTS, and ITASE

  • Experience using modern agile and CI/CD practices

  • Familiarity with DoD security practices

Radiance Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.