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Excel Research Jobs in Ohio (NOW HIRING)

US Oncology Inc.

Clinical Research Manager

Cincinnati, OH · On-site

$85 - $120/hr

Clinical Research Manager Weekly Hours: 40 (full time) SCOPE: Responsible for ensuring at the ... Knowledge and proficiency in all basic computer programs, Windows, Excel, etc. * Special knowledge ...

New

hireVouch

You will work with a team of analysts to manage complex data sets, conduct primary research ... Expertise in using Excel and PowerPoint, with knowledge of visualization software (e.g. Tableau ...

KBR, Inc.

Predictive Research Analyst

Beavercreek, OH · On-site

Predictive Research Analyst KBR is seeking a Predictive Research Analyst for mission-level combat ... Experience with Excel VBA Work Environment: * Location: On-site * Travel Requirements: N/A

Hexion, Inc.

pMDI Research Scientist

Columbus, OH

... to excel. With an unwavering commitment to safety, partnership, belonging, and impact, we empower ... Lead laboratory research on pMDI resin systems, including neat resin, aqueous suspensions ...

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Excel Research information

What is Excel research?

Excel research refers to the process of using Microsoft Excel to collect, organize, analyze, and interpret data for research purposes. This can involve tasks like data entry, statistical analysis, creating charts and graphs, and generating reports. Excel research professionals often utilize formulas, pivot tables, and various tools within Excel to extract insights and support decision-making. This role is common in business, academic, and scientific settings where data management and analysis are required. Mastery of Excel helps streamline research workflows and improve the accuracy of results.

What are some common challenges faced in an Excel research role, and how can they be overcome?

A common challenge in an Excel Research role is managing and analyzing large, complex datasets while maintaining data accuracy. This often requires advanced proficiency in Excel functions, such as pivot tables and formulas, and sometimes integrating data from external sources. Collaborating with other team members, like data analysts or subject matter experts, is essential to ensure the research findings are thorough and reliable. Staying organized with clear documentation and regularly validating data helps minimize errors and streamline workflow.

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

To excel as an Excel Research Analyst, you need strong analytical skills, proficiency in data interpretation, and a solid understanding of Microsoft Excel functions and data management, often supported by relevant coursework or experience. Familiarity with advanced Excel tools such as PivotTables, VLOOKUP, and data visualization add-ons, as well as certifications like Microsoft Office Specialist, are highly beneficial. Attention to detail, problem-solving abilities, and clear communication are crucial soft skills that help ensure accuracy and effective reporting. These skills and qualities are essential for transforming raw data into actionable insights and supporting informed business decisions.

What is the difference between Excel Research vs Data Analyst?

AspectExcel ResearchData Analyst
Required CredentialsBasic Excel skills, possibly some certifications in data managementDegree in statistics, data science, or related field; often certifications in data analysis tools
Work EnvironmentOffice or remote, focused on data gathering and basic analysisOffice, corporate, or consulting settings, involving complex data interpretation
Employer & Industry UsageMarket research firms, small businesses, or departments within larger companiesFinance, marketing, healthcare, and tech industries
Common Search & ComparisonOften compared for entry-level data tasksMore advanced analysis and reporting roles

Excel Research typically involves gathering and organizing data using Excel, focusing on basic analysis. Data Analysts perform more complex data interpretation, statistical analysis, and reporting, often requiring advanced skills and certifications. While Excel Research is suitable for entry-level data tasks, Data Analysts handle comprehensive data projects across various industries.

What are popular job titles related to Excel Research jobs in Ohio?

For Excel Research jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Excel Research jobs in Ohio look for?

The top searched job categories for Excel Research jobs in Ohio are:

What cities in Ohio are hiring for Excel Research jobs?

Cities in Ohio with the most Excel Research job openings:

Excel Research jobs near you

Senior Research Engineer

University of Dayton

Dayton, OH • On-site

Full-time

Posted 10 days ago

University Of Dayton rating

8.4

Company rating: 8.4 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

102nd of 628 rated colleges and universities

Job description

Senior Research Engineer
Job No: 503813
Work Type: Staff Full Time (1500 hours or greater)
Location: Dayton, OH
Category: Research Institute Staff
Department: High Temp Mtrl Characterization - 250555
Pay Grade: R3 - Exempt
Advertised: August 24, 2026
Applications close: September 07, 2026
Position Summary:
Are you interested in a career opportunity that offers tuition assistance for yourself and dependents, great benefits package, and more? Take the next step in your career and help shape the future of metals research at the renowned University of Dayton Research Institute (UDRI). As a Research Engineer within the Materials Technology and Transition division, you'll work alongside a talented group of researchers to develop cutting-edge technologies that push the boundaries of materials science. Join our cutting-edge team and apply today!
This individual will serve as a key member of the Rapid Characterization Team of metal researchers, supporting microstructural characterization, performance evaluation, and the integration of high-temperature metals for aerospace applications. The Research Engineer will focus on the development of state-of-the-art characterization techniques and the automation of characterization and data collection methodologies. Daily operations will include executing advanced testing modes, performing rigorous analysis of test data, and contributing to technical reports. Additional attributes sought include strong interpersonal and communication skills, detail oriented and capable of completing multiple time-sensitive tasks, able to prioritize workloads, and the ability to thrive in a fast-paced, changing environment with minimal supervision.
Minimum Qualifications:
• Bachelor of Science degree in Materials Science, Mechanical Engineering, or a closely related engineering discipline.
• For R3 level eight years of directly related experience is required.
• Experience in a research or laboratory environment with a focus on materials characterization.
• Proficiency with a high-level programming language (e.g., Python, MATLAB) for data analysis and/or process automation.
• Experience with Microsoft Word, PowerPoint, and Excel.
• Experience with data interpretation and analysis from materials testing or characterization.
• Proficient written and oral communication skills.
• Due to the requirements of our research contracts with the U.S. federal government, candidates for this position must be a U.S. Citizen.
Preferred Qualifications:
While not everyone may possess all of the preferred qualifications, the ideal candidate will bring many of the following:
• Advanced degree (M.S. or Ph.D.) in Materials Science, Mechanical Engineering, or a related field.
• Expertise in automating laboratory hardware and integrating characterization tools (e.g., SEM, EBSD, robotic systems) using manufacturer APIs or custom scripts.
• Advanced proficiency in Python and relevant scientific libraries (e.g., Pandas, NumPy, OpenCV, Scikit-Image).
• Hands-on experience with high-throughput data pipelines, including data acquisition, processing, and routing.
• Experience with 3D microstructural reconstruction and analysis using tools like DREAM.3D.
• Familiarity with version control systems, such as GitLab.
• Hands-on experience with system building and developing custom fixtures for rapid testing and characterization.
Special Instructions to Applicants:
To apply please submit a cover letter addressing each minimum qualification and any applicable preferred qualifications that you meet.
Closing Statement:
Informed by its Catholic and Marianist mission, the University is committed to the dignity of every human being. Informed by this commitment, we seek to increase diversity in all of its forms, achieve fair outcomes, and model inclusion across our campus community. The University is committed to policies of affirmative action designed to increase the employment opportunities of individuals with disabilities and protected veterans in compliance with the Rehabilitation Act of 1973 and Vietnam Era Veterans' Readjustment Assistance Act of 1973.
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