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Associate Data Analyst Jobs in Ohio (NOW HIRING)

[US] Data Analytics Associate

Mason, OH · On-site

$55K - $56K/yr

Data Analytics Associate Full Time Hybrid - Mason, OH Innovate with Benchmark Gensuite as a Data Analytics Associate Everyone wants to make the world a better place. We work to make it happen. By ...

[US] Data Analytics Associate

Mason, OH · Hybrid

$55K - $56K/yr

Data Analytics Associate Full Time Hybrid - Mason, OH Innovate with Benchmark Gensuite as a Data Analytics Associate Everyone wants to make the world a better place. We work to make it happen. By ...

[US] Data Analytics Associate

Mason, OH · On-site

$55K - $56K/yr

Data Analytics Associate Full Time Hybrid - Mason, OH Innovate with Benchmark Gensuite as a Data Analytics Associate Everyone wants to make the world a better place. We work to make it happen. By ...

Showing results 41-60

Associate Data Analyst information

See Ohio salary details

$32.3K

$78.6K

$129.3K

How much do associate data analyst jobs pay per year?

As of Aug 19, 2026, the average yearly pay for associate 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 does an associate data analyst do?

An Associate Data Analyst is responsible for collecting, processing, and analyzing data to help their organization make informed business decisions. They typically work with large datasets, create reports, identify trends, and support senior analysts or data scientists. Their tasks often involve using tools like Excel, SQL, and data visualization software to present findings clearly to stakeholders. This entry-level role serves as a foundation for advancing into more specialized data analysis positions.

What are some typical projects an associate data analyst might work on during their first year?

As an Associate Data Analyst, you can expect to work on projects such as cleaning and organizing data sets, creating basic visualizations and reports, and assisting with data quality checks. You'll likely collaborate closely with senior analysts and team members from departments like marketing, finance, or operations to support ongoing analyses or new initiatives. Many entry-level projects focus on transforming raw data into actionable insights, which helps you build foundational skills and gain experience with common tools and methodologies in the field.

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

To thrive as an Associate Data Analyst, you need strong analytical abilities, proficiency in data interpretation, and a relevant degree such as in statistics, mathematics, or computer science. Familiarity with tools like SQL, Excel, and data visualization platforms (e.g., Tableau or Power BI) is typically required, along with knowledge of basic programming languages like Python or R. Attention to detail, critical thinking, and effective communication are key soft skills for translating data insights into actionable recommendations for stakeholders. These skills ensure accurate data analysis, clear reporting, and informed business decisions, which are crucial for organizational success.

What is the difference between Associate Data Analyst vs Data Analyst?

AspectAssociate Data AnalystData Analyst
Required CredentialsBachelor's degree in related field, some certificationsBachelor's degree, often with additional certifications or experience
Work EnvironmentEntry-level, supporting data teams, learning-focusedMore independent, responsible for analysis and reporting
Employer & Industry UsageCommon in tech, finance, healthcare, entry-level rolesWidely used across industries, mid-level position

The main difference between an Associate Data Analyst and a Data Analyst lies in experience and responsibility. Associate Data Analysts are typically entry-level, focusing on supporting data tasks and gaining skills, while Data Analysts handle more complex analysis and decision-making. Both roles require similar educational backgrounds, but Data Analysts usually have more experience and autonomy.

What is the role of an associate data analyst?

An associate data analyst collects, processes, and analyzes data to support business decision-making. They often use tools like Excel, SQL, and data visualization software, and typically work under supervision to generate reports and identify trends. Strong analytical skills and attention to detail are essential for this entry-level role.

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

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

What job categories do people searching Associate Data Analyst jobs in Ohio look for?

The top searched job categories for Associate Data Analyst jobs in Ohio are:

What cities in Ohio are hiring for Associate Data Analyst jobs?

Cities in Ohio with the most Associate Data Analyst job openings:

Infographic showing various Associate Data Analyst job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $78,566 per year, or $37.8 per hour.

Full-time

Re-posted 6 days ago


Western & Southern Financial Group rating

8.9

Company rating: 8.9 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

47th of 310 rated insurance


Job description

This position leads enhancements to data quality management platform and analyzes data for accuracy. Responsible for implementing business solutions that use data to streamline processes. Uses data profiling of additional data sources in determining accuracy and identifying automation opportunities. Independently partners with business users and IT to document business requirements and translates into actionable data modeling, data movement and translation programs. Works under minimal supervision and escalates to manager when appropriate.
What you will do:
  • Leads enhancements to data quality management platforms and analyzes data for accuracy including assigning new reference data when needed
  • Maintains data integrity to ensure compliance with data governance processes
  • Responsible for implementing business solutions that use data to streamline processes; includes data mapping and validation
  • Uses data profiling of additional data sources in determining accuracy and finding automation opportunities
  • Independently works with business users and IT to develop data requirements including transformation requirements between systems
  • Create basic dashboards and workflows in support of business needs, including Tableau, KNIME and Structured Query Language (SQL) queries
  • Serves as liaison between the business and ETL developers, data modelers and IT programmers related to business specific technical specifications
  • Targets opportunities to minimize risk and eliminate data redundancy
  • Keeps up on current data related technologies
  • Performs other duties as assigned.
  • Complies with all policies and standards.

  • Bachelor's Degree - Required
  • 4 - 6 years typical experience in SQL and data visualization. - Required
  • Proficient in Structured Query Language (SQL). - Preferred
  • Ability to build advanced Tableau dashboards. - Preferred
  • Demonstrated project management skills, especially pertaining to technical projects and vague or unknown initial requirements. -
  • Proven excellent relationship-building skills regarding IT functions (e.g., programmers, data modelers, data architects, etc.). -
  • Possesses and displays excellent verbal and written communication skills with ability to convey information to internal and external customers in a clear, focused and concise manner. -
  • Proven strong analytical skills, including demonstrated experience identifying and quantifying problems and providing effective resolutions with the ability to conceptualize and use new methodologies. Must have the ability to apply principles of logical thinking to define problems, collect data, establish facts, and draw valid conclusions. -
  • Superior data access skills; access, transform and manipulate internal and external data in its base form. -
  • Demonstrated knowledge of data-related tools and industry standards (ETL, business intelligence, report writing, SQL reporting services, Crystal Reports, etc.). -
  • Integration tools (DTS, SSIS, Informatica, etc.) preferred. -
  • Microsoft Office suite of products. -
  • Data-related certifications Upon Hire - Preferred

Work Setting/Position Demands:

  • Works in an office setting and remains in a stationary position for long periods of time while working at a desk, on a computer or with other standard office equipment, or while in meetings.
  • Requires the ability to verbally communicate and exchange accurate information to customers and associates on a regular basis.
  • Requires visual acuity to read and interpret a variety of correspondence, procedures, reports and forms via paper and electronic documents, visual inspection involving small defects; small parts, and/or operation of machinery (including inspection); using measurement devices continuously. Visual acuity is required to determine accuracy, neatness, and thoroughness of work assigned.
  • Requires the ability to prepare written correspondence, reports and forms using prescribed formats and conforming to rules of punctuation, grammar, diction, and style on a regular basis.
  • Requires the ability to apply principles of logical thinking to define problems, collect data, establish facts, and draw valid conclusions
  • Performs substantial movement of wrists, hands, and fingers for continuous computer work.
  • Extended hours required during peak workloads or special projects/events.
  • Occasional after-hours work needed

Travel Requirements:

  • None


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