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Part Time Analytics Jobs in Indiana (NOW HIRING)

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All JobsAnalytics JobsPart Time Analytics JobsPart Time Analytics Jobs in Indiana

Part Time Analytics information

See Indiana salary details

$57.6K

$117.8K

$166.5K

How much do part time analytics jobs pay per year?

As of Aug 18, 2026, the average yearly pay for part time analytics in Indiana is $117,850.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,300.00 and $146,100.00 per year, depending on experience, location, and employer.

What is a part time analytics job?

Part-time analytics jobs involve analyzing data to help organizations make informed decisions, but on a reduced or flexible schedule instead of a traditional full-time position. These roles can include tasks such as data collection, statistical analysis, creating reports, and providing insights into business trends. Part-time analytics professionals may work in various industries, including finance, marketing, healthcare, or e-commerce. These jobs are ideal for individuals seeking work-life balance, students, or those looking to gain experience while managing other commitments.

What are the key skills and qualifications needed to thrive as a part time analytics professional?

To thrive as a Part Time Analytics professional, you need a solid understanding of data analysis, statistical methods, and proficiency in tools like Excel, supported by relevant coursework or a degree in a quantitative field. Familiarity with analytics platforms such as SQL, Tableau, or Python, and sometimes certifications like Google Data Analytics, are commonly required. Strong problem-solving abilities, attention to detail, and clear communication help you interpret data and present insights effectively. These skills ensure you can deliver actionable data-driven recommendations that support business decisions, even within limited working hours.

How does a part time analytics professional typically collaborate with full-time team members and stakeholders?

Part-time analytics professionals often work closely with full-time analysts, data engineers, and business stakeholders by attending key meetings, sharing progress updates, and contributing insights on specific projects. While their hours may be limited, clear communication and proactive scheduling help ensure that deliverables align with team timelines. Tools like shared dashboards, project management platforms, and regular check-ins are commonly used to maintain alignment and maximize impact. Adapting quickly to shifting priorities and being flexible with availability are important for successful collaboration in this role.

What is the difference between Part Time Analytics vs Part Time Data Analyst?

AspectPart Time AnalyticsPart Time Data Analyst
Required CredentialsTypically a degree in analytics, statistics, or related fieldUsually a degree in data science, statistics, or similar
Work EnvironmentBusiness, consulting, or tech companiesCorporate, finance, or marketing sectors
Employer & Industry UsageUsed across industries for decision supportCommon in finance, healthcare, and marketing
Search & Comparison IntentUnderstanding roles and responsibilitiesClarifying job scope and skills needed

Part Time Analytics focuses on analyzing data to inform business decisions, often involving strategic insights. Part Time Data Analyst typically emphasizes data collection, cleaning, and reporting. While both roles require analytical skills and similar credentials, Part Time Analytics may involve higher-level interpretation, whereas Part Time Data Analyst is more data-focused. Understanding these differences helps job seekers find roles aligned with their skills and career goals.

Can data analysts work part-time?

Data analysts can work part-time, with many roles offering flexible schedules or project-based assignments. Part-time positions typically require proficiency in data analysis tools like Excel, SQL, or Python, and may involve remote work options. Availability depends on employer needs and the specific job requirements.

What are the most commonly searched types of Analytics jobs in Indiana?

The most popular types of Analytics jobs in Indiana are:

What cities in Indiana are hiring for Part Time Analytics jobs?

Cities in Indiana with the most Part Time Analytics job openings:

Part Time Analytics jobs near you
Infographic showing various Part Time Analytics job openings in Indiana as of August 2026, with employment types broken down into 1% Internship, 90% Full Time, 6% Part Time, and 3% Contract. Highlights an 81% Physical, 6% Hybrid, and 13% Remote job distribution, with an average salary of $117,850 per year, or $56.7 per hour.

Adjunct Faculty - Data Analytics

Ivy Tech

Indianapolis, IN • On-site

$48.67/hr

Part-time

Medical, Retirement

Posted 6 days ago

Job description

Job Title: Adjunct Faculty - Data Analytics
Location: Indianapolis
Job Type: Part-time
Classification: Adjunct faculty
Salary Range: $48.67 Per Contact Hour
Reports To: Department/Program Chair
Who We Are:
Ivy Tech is Indiana's community college and workforce engine, delivering: high-quality learning experiences that propel Indiana's communities, measurable economic return, excellence in teaching, and industry-aligned credentials of value, empowering every learner to achieve lifelong success.
Our Values:
• Empathy: We lead with care and connectivity, ensuring we meet our students where they are.
• Integrity: We act responsibly and ethically in the best interest of our students, employees, partners, institution, and the State.
• Agility: We move with purpose and adapt to the evolving needs of our students, employers, and the State.
• Impact: We exist to change lives through quality education. Our work strengthens individuals, families, communities, and the future of Indiana.
About the Role:
Adjunct Faculty are hired each semester on an as-needed basis. Adjunct Faculty are responsible for creating a learning environment that assists students in reaching their goals; and for providing effective instruction and assessment within the framework of common syllabi provided.
MAJOR RESPONSIBILITIES:
  • Facilitate student learning by delivering assigned classes in accordance with College policy and course objectives.
  • Make optimal use of available technology to enhance instructional methods.
  • Supplement and alter, where appropriate, lesson plans, assignments, tests, and materials. Maintain accurate student records, grades, and other requirements.
  • Engage with students proactively and regularly in meaningful and productive ways that impact student learning and lead to a positive experience with Ivy Tech Community College.
  • Demonstrate evidence of developing and implementing teaching strategies focused on engaging students with their learning.
  • Interact with students and co-workers in a professional and cooperative manner, complying with College policies, guidelines and expectations.
  • Maintain a safe, quality educational environment.
  • Must demonstrate the ability to promote an environment that reflects the broad backgrounds represented by our students and employees in which every individual feels respected and valued.

This is not to be construed as an exhaustive list. Other duties logically associated with this position may be assigned. All responsibilities will be conducted within the parameters of the Family Educational Rights and Privacy Act (FERPA), other applicable regulatory requirements, and professional standards.
EDUCATION AND EXPERIENCE:
Data Analytics Program DATA Standard:
A qualified faculty member in Data Analytics DATA meets the program standard through one of four routes:
  • Possesses an earned master's degree or higher, from a regionally accredited institution, in database, data analytics, information systems or related field as appropriate to the program; or
  • Possesses an earned related or out-of field master's degree, from a regionally accredited institution, with documented 18 semester hours or equivalent of courses beyond the introductory principle(s) level in database, data analytics, information systems or related field as appropriate to the program; or
  • Possesses an earned related or out-of-field master's degree, from a regionally accredited institution, with documentation in two or more of the following:
    • Professional certification (national, regional, or state)
    • Two years of in-field professional employment
    • Documented evidence of teaching excellence, including date of award
    • Documentation of research and publication in the field
    • Documented relevant additional coursework beyond the bachelor's degree, equivalent to 18 semester hours or equivalent subject matter coursework, CEU's, vendor, or military: or
  • Possesses an earned bachelor's degree, from a regionally accredited institution, in database, data analytics, information systems or related field as appropriate to the program, with documentation in two or more of the following:
    • Professional certification (national, regional, or state) in the field
    • Two years of in-field professional employment
    • Documented evidence of teaching excellence, including date of award
    • Documentation of research and publication in the field
    • Documented relevant additional coursework beyond the bachelor's degree, equivalent to 18 semester hours or equivalent subject matter coursework, CEU's, vendor, or military.

DBMS 131 Course Standard:
A qualified faculty member teaching DBMS 131 meets the Data Analytics program standard and holds a valid, non-expired Oracle SQL Fundamentals certification; Oracle Database Foundations certification; or other industry recognized SQL certification or two years of documented database administration professional employment.
DBMS 230, DBMS 231, DBMS 240 and DBMS 241 Course Standard:
A qualified faculty member teaching DBMS 230, DBMS 231, DBMS 240 or DBMS 241 meets the Data Analytics program standard and two years of documented SQL server professional employment.
DBMS 251 Course Standard:
A qualified faculty member teaching DBMS 251 meets the Data Analytics program standard and holds a valid, non-expired Oracle Administration certification or higher-level Oracle certification; or two years of documented Oracle database administration professional employment.
DBMS 261 Course Standard:
A qualified faculty member teaching DBMS 261 meets the Data Analytics program standard and holds a valid, non-expired CIW Data Analyst certification; or two years of documented Data Analytics professional employment.
Must demonstrate ability to promote an environment that reflects the broad backgrounds represented by our students and employees and which every individual feels respected and valued.
Ivy Tech is committed to supporting the well-being, growth, and financial security of our part-time employees. These benefits include:
Health & Wellness
  • Access to a comprehensive vision care plan with low-cost exams and allowances for glasses or contact lenses
  • Employee Assistance Program offering no cost confidential counseling sessions, legal consultations, financial planning consultations, and other resources

Financial & Retirement Benefits
  • All employees can contribute pre-tax or post-tax dollars through payroll deduction to build retirement savings

Educational Benefits
  • Fee remission for employees, spouses, and legal dependents.

For more information on Ivy Tech Benefits, visit https://careers.ivytech.edu/benefits.
Ivy Tech Community College is an accredited, equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, national origin, marital status, religion, sex, gender, sexual orientation, gender identity, disability, age or veteran status. As required by Title IX of the Education Amendments of 1972, Ivy Tech Community College does not discriminate on the basis of sex, including sexual harassment in its educational programs and activities, including employment and admissions. Questions specific to Title IX may be referred to the College's Title IX Coordinator or to the US Department of Education Office of Civil Rights.

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