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Data Analytics Jobs in Findlay, OH (NOW HIRING)

RAKS Group LLC

Senior Data Analyst

Columbus Grove, OH

$78K - $99K/yr

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 ...

Meta

Data Center Capacity Engineer

Bowling Green, OH

$111K/yr

In this role, you will analyze server and infrastructure capacity trends, model future demand, and ... The Data Center Capacity Engineer is responsible for planning and delivering the end-to-end server ...

Innova Solutions, Inc

Data Center PM

Bowling Green, OH · On-site

$60 - $65/hr

Responsible for demonstrating proficiency in data analytics to support informed decision-making. * Responsible for maintaining knowledge of safety regulations and an extensive understanding of ...

Ohio Logistics

Business Systems Analyst

Findlay, OH · On-site

Strong data analytics knowledge. * Commercial software experience with top-tier software providers (Gartner Quadrant) * Proficiency in Requirements Documentation, Data Analytics, Collaboration, and ...

Black Box

QA Manager - Data Center

Bowling Green, OH · On-site

Generate and analyze quality data analytics for incorporation into metrics to accurately measure and manage quality performance. * Coordinate and conduct timely quality inspections prioritized ...

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All JobsData Analytics JobsData Analytics Jobs in Findlay, OH

Data Analytics information

See Findlay, OH salary details

$23

$51

$88

How much do data analytics jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for data analytics in Findlay, OH is $51.41, according to ZipRecruiter salary data. Most workers in this role earn between $41.30 and $58.22 per hour, depending on experience, location, and employer.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, creating reports, and developing data models using tools like SQL, Excel, and Python or R. Strong analytical skills and knowledge of data visualization are essential for these positions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data specialist, or reporting analyst, focusing on collecting, processing, and analyzing data to support decision-making. They often use tools like Excel, SQL, and data visualization software, and may work in industries like finance, healthcare, marketing, or technology. Strong analytical skills and knowledge of statistical methods are essential for these positions.

What is the work for a data analytics?

A data analyst's work involves collecting, processing, and analyzing data to identify trends, support decision-making, and improve business outcomes. They use tools like Excel, SQL, and data visualization software, and often require strong analytical skills and attention to detail.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

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

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.
What are the most commonly searched types of Data Analytics jobs in Findlay, OH? The most popular types of Data Analytics jobs in Findlay, OH are:
What job categories do people searching Data Analytics jobs in Findlay, OH look for? The top searched job categories for Data Analytics jobs in Findlay, OH are:
What cities near Findlay, OH are hiring for Data Analytics jobs? Cities near Findlay, OH with the most Data Analytics job openings:
Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Findlay, OH as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $106,935 per year, or $51.4 per hour.

Senior Data Analyst

RAKS Group LLC

Columbus Grove, OH

$78K - $99K/yr

Contractor

Re-posted 28 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