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Data Analyst Jobs in Findlay, OH (NOW HIRING)

RAKS Group LLC

Senior Data Analyst

Columbus Grove, OH

$78K - $99K/yr

Senior Data Analyst Type: Contract / C2C (temporary) Senior Data Analyst. Our client has a contract need for a Senior Data Analystto assist with their project to implement the Workday ERP system. The ...

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Data Analyst information

See Findlay, OH salary details

$31.9K

$77.6K

$127.7K

How much do data analyst jobs pay per year?

As of Aug 27, 2026, the average yearly pay for data analyst in Findlay, OH is $77,605.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,700.00 and $91,100.00 per year, depending on experience, location, and employer.

What does a data analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

What are the key skills and qualifications needed to thrive as a data analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are some common challenges data analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Do data analysts get paid well?

Data analysts typically earn competitive salaries that vary by experience, location, and industry. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries tend to increase with expertise and certifications. Overall, data analysis is considered a well-paying field with growth potential.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.
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What are the most commonly searched types of Data Analyst jobs in Findlay, OH?

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What job categories do people searching Data Analyst jobs in Findlay, OH look for?

The top searched job categories for Data Analyst jobs in Findlay, OH are:

What cities near Findlay, OH are hiring for Data Analyst jobs?

Cities near Findlay, OH with the most Data Analyst job openings:

Data Analyst jobs near you
Infographic showing various Data Analyst job openings in Findlay, OH as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $77,605 per year, or $37.3 per hour.

Senior Data Analyst

RAKS Group LLC

Columbus Grove, OH

$78K - $99K/yr

Contractor

Re-posted 18 days ago

Job description


End client: The Ohio State University (OSU)
Job title: Senior Data Analyst
Type: Contract / C2C (temporary)
Senior Data Analyst. Our client has a contract need for aÂSenior Data Analystto assist with their project to implement the Workday ERP system. The Business Process teams across the project are currently working with stakeholders to identify and define the most important data elements to build an enterprise data dictionary and catalog of reports and data assets. Scope of this work includes the upcoming Workday implementation but also historical data that needs to be preserved from legacy systems that are being retired and stored within the client's data lake environment. Position Details / Responsibilities:
  • The Data Governance team is leading the implementation of a data cataloging tool in partnership with other units. The Data & Analytics team is seeking a resource that will be engaged in hands-on and in-person metadata collection effort across the Business Process teams, the Data Conversion team, and the Data & Analytics team, in building and managing a catalog of datasets, critical data elements and report information.
  • Thus, the resource must demonstrate excellent communication and people management skills in delivering and managing information and user expectations.
  • In partnership with the Data & Analytics team, the Conversion team, and the Business Process (BP) teams, the Data Analyst will collect, review and manage detailed information from the stakeholder community on data assets, reports and critical data elements and follow up on completion of definitions for these data elements.
  • Collate this information into a repository (JIRA).
  • Work with the Data Governance team to load data elements, definitions and report specification into universityâs enterprise repository.
  • Manage the data elementsâ drafting process and the approval process by designated data stewards.
  • Serve as the primary point of contact for the project teams with regards to critical data elements.
  • Responsible for maintaining JIRA items, dashboards, and overall status of the data element identification and definition.
  • Creates and produces a weekly data element status report to the Data Governance team lead.
  • Supports Business Process and functional team data cleansing activities by querying and summarizing data, tracking progress and monitoring ongoing data cleanliness.
  • Assists in deployment of a data cataloging/data governance tool.
  • Job Duty Percentages:
    • Support for Data Catalog: 80%
    • Support for Data Quality: 20%
    • Required Qualifications:
  • Must possess excellent communication skills and have deep experience working with many varied user groups simultaneously
  • 6 years as a business/data analyst querying data and working with user groups to collect, collate, and document data assets as well as data element definitions
  • Demonstrated experience with organizational planning, and tracking skills
  • Must possess excellent interpersonal and relationship building skills
  • Strong query skills and demonstrated knowledge of databases, systems, and SQL concepts
  • Some experience with a Business Intelligence tool like Tableau
    • Desired Qualifications:
  • Experience working in a Higher Education environment
  • Experience with data cataloging or business glossary/data dictionary tools
  • Experience in creating dashboards to manage data quality
  • Experience in a previous system migration projects
  • Experience with Jira