Part-Time Trainer - Data AnalyticsWashtenaw Community College • Lansing, Michigan, United States
Part-Time Trainer - Data Analytics
Washtenaw Community College
- Lansing, Michigan, United States
- Lansing, Michigan, United States
Über
Position Description Washtenaw Community College seeks a qualified Part-Time Trainer to deliver short‑term, non‑credit data analytics instruction in a face‑to‑face format. The role focuses on the data analytics component of a workforce training pathway, which may be combined with a separate bookkeeping element.
Position Summary The trainer uses existing WCC‑developed course materials to provide practical instruction in data literacy, spreadsheet analysis, data organization, cleaning, formulas and functions, pivot tables, charts, dashboards, reporting, data visualization, and the application of data to business decision‑making. Students gain applied data skills for business, office, accounting, administrative, workforce, and entry‑level positions.
Essential Duties
Serve as subject‑matter expert and trainer for data analytics course content;
Deliver short‑term, non‑credit workforce training in a face‑to‑face instructional format using existing WCC materials;
Provide instruction on foundational data analytics concepts, including data literacy, organization, cleaning, spreadsheet analysis, formulas and functions, pivot tables, charts, dashboards, reporting, and visualization;
Teach students how to use data to identify patterns, summarize information, communicate findings, and support business decision‑making;
Facilitate hands‑on learning activities, demonstrations, guided practice, applied exercises, review sessions, and skills‑based assignments;
Use business scenarios, sample datasets, spreadsheet exercises, reporting examples, and applied projects to support student learning;
Help students understand how data analytics skills apply to workplace roles in business operations, office administration, accounting/bookkeeping support, data reporting, workforce analytics, and related fields;
Support students with varying levels of prior experience in data analytics, spreadsheets, business technology, and computer‑based learning;
Communicate course expectations, learning outcomes, technology requirements, assignment expectations, and completion requirements clearly to students;
Provide feedback to students to support skill development and successful course completion;
Maintain a safe, inclusive, and professional learning environment for adult learners, workforce training participants, career changers, and entry‑level students;
Communicate classroom, technology, software, course material, and student support needs to Corporate Training & Lifelong Learning staff;
Review existing course materials and provide feedback or recommendations for improvement based on student needs, course delivery experience, and workforce expectations;
Coordinate with Corporate Training & Lifelong Learning staff regarding course delivery, scheduling, materials, software access, classroom needs, and student support;
Follow WCC policies, procedures, and expectations for part‑time trainers;
Other duties as assigned.
Related Duties
Recommend updates to instructional examples, datasets, exercises, demonstrations, and course resources as needed;
Provide input on course delivery format, instructional flow, classroom technology needs, and future course improvements;
Support alignment between data analytics instruction and related workforce training pathways, including a separate bookkeeping training component as appropriate;
Communicate any issues with course materials, software access, student readiness, or classroom technology before or during course delivery;
Assist with course improvement feedback after course offerings;
Support future course enhancements based on student needs, workforce demand, employer feedback, and industry trends;
Utilize technology, including AI‑enabled tools and software where appropriate, to support the effective performance of assigned duties, enhance productivity, improve communication and information management, support decision‑making, and other responsibilities while ensuring compliance with confidentiality requirements, institutional policies, procedures, and applicable regulations.
Hours / Schedule
This is a part‑time training assignment scheduled based on course offerings, course development needs, and department needs.
Instruction will primarily take place in a standard classroom or computer lab with an instructor station, projector or classroom display, internet access, and seating for students. The course may require access to computers, spreadsheet software, data files, sample datasets, digital instructional materials, and other classroom technology needed for hands‑on data analytics instruction.
Physical Demands
The position generally requires the ability to teach in a classroom or computer lab setting, operate instructional technology, stand or walk during instruction, communicate clearly with students, and support students while they complete computer‑based learning activities.
The trainer may occasionally need to transport, set up, or handle printed materials, classroom resources, or lightweight instructional equipment.
Minimum Qualifications
Demonstrated knowledge of data analytics concepts, spreadsheet‑based analysis, data organization, reporting, and business decision‑making.
Experience using Microsoft Excel, Google Sheets, or similar spreadsheet tools for data organization, formulas, functions, charts, pivot tables, dashboards, and reporting.
Ability to deliver existing WCC‑developed data analytics training materials in a clear, practical, and engaging face‑to‑face instructional format.
Ability to teach foundational data analytics concepts to students with varying levels of prior experience.
Ability to facilitate hands‑on learning activities, demonstrations, applied exercises, and skills‑based practice.
Ability to connect data analytics skills to real‑world workplace applications in business operations, office administration, accounting/bookkeeping support, reporting, workforce analytics, and related roles.
Strong communication, organization, and training facilitation skills.
Ability to maintain a safe, inclusive, and professional learning environment.
Basic computer skills and ability to use classroom technology, digital instructional materials, spreadsheet tools, and internet‑based resources.
Ability to work collaboratively with WCC staff regarding course delivery, scheduling, materials, software access, and student support.
Ability to use workplace technology relevant to the position, including the capacity to learn and appropriately leverage emerging AI‑supported tools; assess the accuracy and reliability of AI‑generated content; maintain confidentiality; and apply sound judgment and ethical practices in the use of technology.
Preferred Qualifications
Prior teaching, training, coaching, or instructional experience.
Experience teaching or training adult learners, noncredit students, workforce training participants, career changers, or entry‑level learners.
Experience using Power BI, Tableau, or other data visualization/business intelligence tools.
Experience developing or adapting workforce training curriculum, instructional materials, assessments, datasets, or learning activities.
Experience working in data analytics, business operations, accounting support, office administration, finance, workforce reporting, or a related field.
Experience helping learners apply data skills to business, financial, administrative, or workforce‑related scenarios.
Knowledge of current data analytics tools, business technology trends, and employer expectations for entry‑level data‑related roles.
Posting Information Posting Number: 0603880
Posting Date: 05/28/2026
Closing Date: 07/05/2026
Salary / Hourly Rate $60 per hour
Supplemental Questions
Do you meet all minimum qualification? Yes
No
Please describe your experience with data analytics, spreadsheet‑based analysis, business reporting, or related data work. (Open Ended Question)
Please describe your experience using Microsoft Excel, Google Sheets, or similar tools for formulas, functions, charts, pivot tables, dashboards, and data reporting. (Open Ended Question)
Please describe your experience using Power BI, Tableau, or other data visualization/business intelligence tools. (Open Ended Question)
Please describe your experience teaching, training, coaching, or supporting others in data analytics, spreadsheets, business technology, or related topics. (Open Ended Question)
Please describe your experience delivering existing instructional materials or adapting training materials for classroom delivery. (Open Ended Question)
Please describe your experience supporting adult learners, workforce training participants, career changers, or students with varying levels of technical experience. (Open Ended Question)
Please describe how you would help students understand the workplace value of data analytics skills in business, administrative, accounting support, or related roles. (Open Ended Question)
Are you presently legally authorized to work in the United States? Yes
No
In order for WCC to employ you, would you require WCC to provide a petition or a letter to the Department of Homeland Security unless authorized as a F1 student to work? Yes
No
Required Documents
Resume
Cover Letter
Optional Documents
Certificate
Teaching Philosophy
Unofficial Transcripts
Other Documents
Washtenaw Community College does not discriminate on the basis of religion, race, color, national origin, age, sex, height, weight, marital status, disability, veteran status, or any other protected status as provided for and to the extent required by federal and state statutes. Nor does the college discriminate on the basis of sexual orientation, gender identity or gender expression.
Click here for Notice of Nondiscrimination and Other Compliance Statements.
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Sprachkenntnisse
- English
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