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Part Time Excel Data Analyst Jobs in Ohio (NOW HIRING)

POOL: Data Analytics Instructor

Athens, OH · On-site

$19.75 - $25/hr

Spring 2027; or Fall 2027 (as needed.) Data analytics faculty/instructors will be paid throughout the semester according to the rates for part-time and overload teaching in University College ...

Data Scientist

Dayton, OH · On-site

$77K - $176K/yr

On our team, you'll use your analytical skills and data science knowledge to create real-world ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

This is a part-time position working 20 hours each week. Job Responsibilities: * Create, maintain ... Analyze and resolve data discrepancies impacting production, inventory, or costing * Support ...

Purchasing Coordinator

Lewis Center, OH · On-site

$20 - $26.75/hr

Purchasing Coordinator Part-Time | Lewis Center | $26-28 A growing organization is seeking a detail ... data analysis using Microsoft Excel * Maintain organized documentation related to purchasing ...

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Purchasing Coordinator

Lewis Center, OH · On-site

$20 - $26.75/hr

Purchasing Coordinator Part-Time | Lewis Center | $26-28 A growing organization is seeking a detail ... data analysis using Microsoft Excel * Maintain organized documentation related to purchasing ...

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Part Time Excel Data Analyst information

What is the difference between Part Time Excel Data Analyst vs Part Time Data Entry Clerk?

AspectPart Time Excel Data AnalystPart Time Data Entry Clerk
Required skillsExcel, data analysis, reportingData entry, basic computer skills
CertificationsExcel proficiency, data analysis certificationsNone typically required
Work environmentOffice, remote, or client sitesOffice, data centers, remote
Industry usageFinance, marketing, researchAdministrative, clerical tasks

While both roles involve working with data, a Part Time Excel Data Analyst focuses on analyzing data sets, creating reports, and deriving insights using Excel. In contrast, a Part Time Data Entry Clerk primarily inputs and manages data with less emphasis on analysis. The analyst role often requires Excel certifications and analytical skills, whereas the clerk role emphasizes accuracy and speed in data entry tasks.

What are some common challenges faced by part-time Excel Data Analysts, and how can they effectively manage their workload?

Part-time Excel Data Analysts often face the challenge of balancing multiple projects within limited working hours, which can make prioritization and time management crucial. They may also need to quickly familiarize themselves with new datasets or processes when collaborating with different departments. To manage these challenges effectively, it’s important to maintain clear communication with team members about deadlines and expectations, utilize Excel’s automation features (like macros or Power Query) to streamline repetitive tasks, and actively document their work for smooth handovers or future reference. Regularly reviewing priorities and proactively seeking clarification can help ensure productivity and accuracy, even with a part-time schedule.

What are part time Excel data analysts?

Part time Excel data analysts are professionals who work on a flexible or reduced-hour schedule to analyze, interpret, and manage data using Microsoft Excel. Their duties typically include organizing data sets, creating reports, developing charts and graphs, and using formulas or pivot tables to generate insights for a company or organization. These roles are ideal for individuals seeking work-life balance, students, or those supplementing other employment. Excel data analysts are essential in helping businesses make informed decisions by transforming raw data into actionable information.

What are the key skills and qualifications needed to thrive as a Part Time Excel Data Analyst, and why are they important?

To thrive as a Part Time Excel Data Analyst, you need strong analytical skills, attention to detail, and proficiency in Microsoft Excel, often backed by relevant coursework or experience in data management. Familiarity with Excel functions, pivot tables, data visualization tools, and sometimes knowledge of VBA or Power Query is highly beneficial. Effective communication, problem-solving abilities, and time management are crucial soft skills for interpreting data and sharing insights with stakeholders. These skills ensure accurate data analysis, efficient workflow, and valuable data-driven decision-making for organizations.
What are the most commonly searched types of Excel Data Analyst jobs in Ohio? The most popular types of Excel Data Analyst jobs in Ohio are:
What cities in Ohio are hiring for Part Time Excel Data Analyst jobs? Cities in Ohio with the most Part Time Excel Data Analyst job openings:
Infographic showing various Part Time Excel Data Analyst job openings in Ohio as of July 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution.
POOL: Data Analytics Instructor

POOL: Data Analytics Instructor

Ohio University

Athens, OH • On-site

$19.75 - $25/hr

Full-time, Part-time

Retirement

Re-posted 17 days ago


Ohio University rating

6.9

Company rating: 6.9 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

408th of 555 rated colleges and universities


Job description

Posting Details
Applications will be accepted until midnight (Eastern Time Zone) on the 'Posting End Date' shown below.
Position Information
Job Title
POOL: Data Analytics Instructor
Applications Accepted From
Public: Open to the Public
Special Instructions to Applicants
Instruction to occur in the Fall, 2026; Spring 2027; or Fall 2027 (as needed.)
Data analytics faculty/instructors will be paid throughout the semester according to the rates for part-time and overload teaching in University College (currently $1224/credit hour, with additional funds for training attendance and supervision of learning community leaders, when applicable.)
If you are a current employee at Ohio University, please e-mail your interest to OHIO University College at university.college@ohio.edu.
This position is eligible for the following benefits:
sick leave and retirement.
Posting Number
20163042F
Job Description
University College offers several courses for students pursuing a successful completion of their degree(s). A few of the courses offered are:
1) Data Analytics courses (DATA 2100, 3510) introduce the fundamental concepts, principles, and tools of data analytics. They also teach key principles of analytic design and useful visualization techniques for the exploration and presentation of data.
2) Study Skills, Time Management, and Personal Finance courses (UC 1100, 1070, 1101) focus on the specific knowledge and skills necessary for students to be successful at the college level.
Instructors:
1) serve as a role model, referral, and resource to students;
2) provide contact information to students; communicating availability and encouraging students to contact them for assistance;
3) in case of an emergency or planned absence, make arrangements for a substitute instructor;
4) provide a complete syllabus on the first meeting of class and grade assignments in a timely manner;
5) submit final grades online by the university deadline; and
6) participate in assessment processes to determine efficacy of the courses and course materials.
Minimum Qualifications
Master's Degree
Preferred Qualifications
Educational/work experience related to the course(s).
Department
University College, Dean's Office
Pay Rate
Total Compensation Estimator (For Full-Time Benefits Eligible Employees)
User Selection Field
Job Open Date
01/30/2026
Posting Close Date
Applications to this pool will be considered to fill part-time, non-tenure track, non-benefits eligible instructor positions as student demand dictates on the Athens campus. Position will remain open until filled.
Employment Type
intermittent regular
Job Category
Instructor
Months
seasonal
Planning Unit
University College
Work Schedule
Campus
Athens
Applicants may contact this person if they have questions about this position.
Nelli Gurbanova, gurbanova@ohio.edu
Non-Discrimination Statement
Ohio University is proud of its rich history and as part of our ongoing efforts to provide and support a transformative learning experience, we affirm our commitment to fostering a welcoming and respectful workforce and community. All qualified applicants are encouraged to apply and will receive consideration free from discrimination on the basis of age, ancestry, color, disability, ethnicity, gender, gender identity or expression, genetic information, military service or veteran status, national origin, pregnancy, race, religion, sex, sexual orientation, status as a parent or foster parent, or any other bases under the law. Ohio University is an equal access/equal opportunity employer.
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