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Data Analysis Assistant Jobs in Ohio (NOW HIRING)

Urgent Need SR Data Analyst

Dayton, OH · On-site

$83K - $105K/yr

Perform analysis of all data into, out of and within CareSource in support of Data Warehousing efforts. Identify and quantify data issues within the organization and assist in the development plans ...

Own analysis and optimization of opportunity models used for account segmentation and territory ... If you need a reasonable accommodation to assist with your job search or application for employment ...

Perform analysis of all data into, out of and within CareSource in support of HIE data Identify and quantify data issues within the organization and assist in the development plans to resolve data ...

Metadata & Semantic Enablement * Assist teams in improving metadata, documentation, and business ... Proven experience in data analysis, analytics engineering, data operations, or data quality roles.

Variance Analysis:** Assist in preparing unit dispatch and market variance analyses to measure ... Data Collection & Management:** Gather and manage data related to unit dispatch, fuel prices, power ...

Showing results 21-40

Data Analysis Assistant information

See Ohio salary details

$10

$18

$25

How much do data analysis assistant jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for data analysis assistant in Ohio is $18.11, according to ZipRecruiter salary data. Most workers in this role earn between $15.29 and $20.34 per hour, depending on experience, location, and employer.

What is the difference between Data Analysis Assistant vs Data Analyst?

AspectData Analysis AssistantData Analyst
Required CredentialsAssociate's degree or relevant certificationsBachelor's degree or higher in related fields
Work EnvironmentSupportive, entry-level roles in offices or teamsIndependent or team-based analysis in various industries
Employer & Industry UsageEntry-level support roles across sectorsData-driven decision-making roles in multiple industries
Common Search & ComparisonOften compared for entry-level data support rolesMore advanced, analytical positions

The Data Analysis Assistant typically performs entry-level support tasks, assisting with data collection and basic analysis, often requiring an associate's degree or certifications. In contrast, Data Analysts handle more complex data interpretation, reporting, and strategic insights, usually holding a bachelor's degree or higher. While both roles work in similar environments, the Data Analyst role involves greater responsibility and independence.

What are the key skills and qualifications needed to thrive as a data analysis assistant?

To thrive as a Data Analysis Assistant, you need a solid background in statistics, data interpretation, and proficiency with spreadsheets, often supported by a relevant degree or coursework. Familiarity with data analysis tools such as Microsoft Excel, SQL, and basic knowledge of programming languages like Python or R is commonly required. Attention to detail, critical thinking, and strong communication skills help you effectively process data and present findings. These competencies are crucial for ensuring accurate data handling, supporting sound business decisions, and enabling effective teamwork.

What does a data analysis assistant do?

A Data Analysis Assistant supports data analysts and data scientists by collecting, cleaning, organizing, and preparing data for analysis. They help ensure the accuracy and integrity of datasets, create basic reports or visualizations, and may assist with statistical analysis or data entry tasks. Their work allows the analysis team to focus on more complex data interpretation and decision-making, making the assistant an essential part of the data workflow.

What are some common challenges faced by data analysis assistants when supporting multiple projects simultaneously?

Data Analysis Assistants often juggle several projects at once, which can make prioritizing tasks and managing time a challenge. Balancing the differing data requirements, deadlines, and communication with multiple team members requires strong organizational skills and adaptability. It's important to maintain clear documentation, proactively clarify expectations with project leads, and regularly update stakeholders on progress. Effective use of tools for tracking assignments and deadlines can help ensure accuracy and timely delivery of analyses.
What are the most commonly searched types of Data Analysis jobs in Ohio? The most popular types of Data Analysis jobs in Ohio are:
What job categories do people searching Data Analysis Assistant jobs in Ohio look for? The top searched job categories for Data Analysis Assistant jobs in Ohio are:
What cities in Ohio are hiring for Data Analysis Assistant jobs? Cities in Ohio with the most Data Analysis Assistant job openings:
Infographic showing various Data Analysis Assistant job openings in Ohio as of August 2026, with employment types broken down into 91% Full Time, and 9% Part Time. Highlights an 100% In-person job distribution, with an average salary of $37,675 per year, or $18.1 per hour.

Process Improvement Data Analyst II

Total Quality Logistics

Cincinnati, OH • On-site

$63K - $78K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 7 days ago


Total Quality Logistics rating

6.0

Company rating: 6.0 out of 10

Based on 115 frontline employees who took The Breakroom Quiz

320th of 360 rated logistics


Job description

General information
Country
USA
State
Ohio
City
Cincinnati
Descriptions & requirements
About the role:
We are seeking a highly skilled Data Analyst focused on Process Improvement to join our team. The ideal candidate will leverage data, automation, and structured problem-solving to identify and deliver measurable operational improvements. This role goes beyond traditional reporting; You will partner on initiatives end-to-end, from discovery and analysis to implementation and impact measurement.
What's in it for you:
  • $63,000 - $78,000 base salary + performance bonuses
  • Unmatched career growth potential with structured paths and mentorship for advancement
  • Comprehensive benefits package
    • Health, dental and vision coverage
    • 401(k) with company match
    • Perks including employee discounts, financial wellness planning and more
    • Up to $5,000/year tuition reimbursement
  • Employee referral bonuses
  • Certified Great Place to Work with 900+ lifetime workplace award wins

What you'll be doing:
  • Data analysis and reporting:
    • Build and maintain scalable datasets and data models using SQL and BI tools
    • Define and track key process performance metrics (KPIs), including baseline and future-state comparisons
    • Translate complex data into clear, actionable insights and recommendations
    • Move beyond descriptive reporting to proactively surface trends, risks, and opportunities
  • Process improvement:
    • Analyze end-to-end workflows to uncover inefficiencies, bottlenecks, and optimization opportunities
    • Quantify business impact (e.g., cycle time reduction, error reduction, capacity gains) and track results over time
  • Problem solving and decision support:
    • Conduct root cause analysis to address issues and prevent recurring inefficiencies
    • Provide actionable insights and recommendations to support data-driven decision making
  • Stakeholder collaboration:
    • Partner with stakeholders to understand business needs, prioritize projects, and align improvements with organizational goals
    • Translate technical findings into clear, business-friendly communication
  • Automation and innovation:
    • Identify opportunities to automate repetitive tasks and improve data workflows
    • Modernize existing tools (e.g., Excel/VBA-based reporting) into scalable, maintainable systems

What you need:
  • 3-5 years of experience in data analysis, process improvement, or a related role
  • Bachelor's degree in data analytics, business analytics, or related field
  • Advanced experience with Power BI (or similar tools) for dashboarding and data modeling
  • Strong SQL skills for data extraction, transformation, and analysis
  • Proven ability to independently scope ambiguous problems and deliver end-to-end solutions
  • Experience identifying and implementing process improvements with measurable impact
  • Strong analytical thinking and structured problem-solving skills
  • Excellent communication skills with the ability to influence non-technical stakeholders
  • Ability to manage multiple priorities in a fast-paced environment
  • Familiarity with other data analysis tools and programming languages (e.g., Python, R) is advantageous
  • Strong interpersonal skills, a proactive mindset, and the ability to work independently and as part of a team

Where you'll be: 4289 Ivy Pointe Blvd Cincinnati, OH 45245
Employment visa sponsorship is unavailable for this position. Applicants requiring employment visa sponsorship now or in the future (e.g., F-1 STEM OPT, H-1B, TN, J1 etc.) will not be considered.
About Us
Total Quality Logistics (TQL) is one of the largest freight brokerage firms in the nation. TQL connects customers with truckload freight that needs to be moved with quality carriers who have the capacity to move it.
As a company that operates 24/7/365, TQL manages work-life balance with sales support teams that assist with accounting, and after hours calls and specific needs. At TQL, the opportunities are endless which means that there is room for career advancement and the ability to write your own paycheck.
What's your worth? Our open and transparent communication from management creates a successful work environment and custom career path for our employees. TQL is an industry-leader in the logistics industry with unlimited potential. Be a part of something big.
Total Quality Logistics is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, genetic information, disability or protected veteran status.
If you are unable to apply online due to a disability, contact recruiting at recruiting@tql.com

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