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Data Analysis Assistant Jobs in Cleveland, OH (NOW HIRING)

If you love data and are looking for unlimited growth opportunities, we want to talk with you about ... analysis. * Assist in designing and executing reporting, analytics, and optimization briefs.

Data Analyst

Cleveland, OH · On-site

$70K - $75K/yr

Data Analysis: Responsible for aggregating and analyzing quality and performance data to support ... Quality Improvement Support: Assist in the implementation of quality improvement projects and ...

Data Analyst

Cleveland, OH · On-site

$70K - $75K/yr

Data Analysis: Responsible for aggregating and analyzing quality and performance data to support ... Quality Improvement Support: Assist in the implementation of quality improvement projects and ...

Located within the Audit and Loss Prevention Department, the Data Analyst, Audit will work both independently and closely with the Field Audit Team to assist in the continuous enhancement of the data ...

Support budgeting, forecasting, and variance analysis * Assist with audit preparation and ... Strong proficiency in Microsoft Excel and data analysis tools * Understanding of general accounting ...

Support budgeting, forecasting, and variance analysis * Assist with audit preparation and ... Strong proficiency in Microsoft Excel and data analysis tools * Understanding of general accounting ...

Conduct customer/product profitability analysis * Assist in deployment of new ERP systems by ... data analysis and multi-tasking * Must possess excellent verbal and written communication skills

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Data Analysis Assistant information

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How much do data analysis assistant jobs pay per hour?

As of May 28, 2026, the average hourly pay for data analysis assistant in Cleveland, OH is $18.48, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $20.77 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Analysis Assistant, and why are they important?

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 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 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 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 most commonly searched types of Data Analysis jobs in Cleveland, OH? The most popular types of Data Analysis jobs in Cleveland, OH are:
What are popular job titles related to Data Analysis Assistant jobs in Cleveland, OH? For Data Analysis Assistant jobs in Cleveland, OH, the most frequently searched job titles are:
What cities near Cleveland, OH are hiring for Data Analysis Assistant jobs? Cities near Cleveland, OH with the most Data Analysis Assistant job openings:
Infographic showing various Data Analysis Assistant job openings in Cleveland, OH as of May 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, and 3% Contract. Highlights an 83% Physical, 1% Hybrid, and 16% Remote job distribution, with an average salary of $38,434 per year, or $18.5 per hour.

TTG Business Data Analyst Intern

TransTech Energy

Cleveland, OH • Hybrid

Other

This job post has expired today. Applications are no longer accepted.


Job description

Position Title: Internship- Business Data Analyst
Reports To: Manager of Business Analysis and Process
Location: Cleveland, OH / Hybrid
Hours: Part time/ or hybrid full time
Company Overview
TransTech provides custom-engineered and fabricated solutions for liquids and gas processing, storage, TransTech is a leading provider of specialized infrastructure and custom-engineered equipment for diverse industries. Our expansive capacity and technical expertise enable large-scale production of complex, high-quality equipment while meeting rigorous quality and safety standards.
TransTech's companies provide comprehensive solutions for gas and liquid processing, storage, transfer, and utilization, adhering to ASME, API, and TEMA standards to ensure reliability and precision in every project.
From individual services to full project solutions, TransTech's teams deliver expert engineering, fabrication, construction, operations and maintenance, supporting projects nationally and internationally. We help customers achieve impactful, sustainable results with a commitment to safety, community, and environmental responsibility.
Job Summary
TransTech is seeking a Business Data Analyst Intern to support reporting, analytics, automation, and emerging AI initiatives in our Microsoft Fabric environment. With core business data now centralized in Fabric, this role will help turn that data into useful reporting, insights, and scalable business solutions.
The intern will work closely with the Manager of Business Analysis and Process and the Business Data Analyst to collaborate with business and technical teams. The intern will support Power BI reporting, validate and organize data, assist with automation opportunities, and contribute to early AI-related projects. This is an excellent opportunity for someone looking to gain hands-on experience with modern enterprise analytics tools in a manufacturing and engineering environment.
Key Responsibilities
Reporting and Analytics Support:

• Assist in developing, updating, and maintaining Power BI dashboards and reports for business users.
• Support reporting and analysis across Finance, Operations, Supply Chain, Project Management, and other functions.
• Help users validate report outputs and confirm that business requirements are met.
• Assist with recurring reporting, KPI tracking, and ad hoc analysis to support decision-making.
Microsoft Fabric Support:
• Work with curated data already available in Microsoft Fabric to support reporting and analysis needs.
• Assist with organizing and maintaining Fabric assets such as semantic models, dataflows, reports, and related objects.
• Help validate data accuracy, consistency, and usability for business reporting.
• Support documentation of data definitions, report logic, and business rules used within the Fabric environment.
Data Quality and Business Support:
• Help identify data issues, missing values, inconsistencies, and opportunities to improve reporting reliability.
• Assist in reconciling data across business processes and reports.
• Support meetings with business users to understand reporting needs and follow up with analysis.
• Help document metrics, requirements, and process improvements related to analytics initiatives.
Automation and AI Support:
• Assist with business process improvement opportunities that use Power Automate, reporting workflows, or AI-enabled solutions.
• Support early AI use cases by helping organize source data, document needs, and participate in testing.
• Assist with document-based or workflow-based pilot efforts where AI may help improve efficiency or reduce manual effort.
• Work with internal teams and external partners to support implementation and testing of new analytics and AI solutions.
General Analytics Support:
• Help answer business questions using Excel, SQL, Power BI, or Fabric-based datasets.
• Assist with special projects related to digital transformation, enterprise reporting, and operational analytics.
• Contribute to a growing data and AI program by supporting both day-to-day reporting needs and longer-term capability building.
Preferred Qualifications:
• Familiarity with Excel, Power BI, SQL, Python or data analysis tools.
• Strong attention to detail and interest in business data, reporting, and process improvement.
• Exposure to Microsoft Fabric, Power Platform, SharePoint, or related Microsoft technologies is a plus.
• Curious, detail-oriented, and eager to learn about data systems in a real-world business setting.
Education/Experience:
• Currently pursuing a Bachelor's degree in Data Analytics, Information Systems, Computer Science, Business, Finance, Engineering, or a related field.
What You'll Gain:
• Hands-on experience working in a live Microsoft Fabric and Power BI environment.
• Exposure to real business reporting and analytics across multiple functional areas.
• Experience supporting data quality, automation, and emerging AI initiatives.
• Opportunity to contribute to meaningful business solutions in a manufacturing and engineering setting.
• Practical experience working cross-functionally as part of a broader digital transformation effort.
This organization provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
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