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Part Time Data Analyst Jobs in Fishers, IN (NOW HIRING)

TEGNA Inc.

People Analytics Analyst

Indianapolis, IN · On-site

This role blends people analytics, business intelligence, data automation, and emerging AI ... Our 401(k) program offers full, part-time and temporary employees the opportunity to contribute ...

BACA

Board Certified Behavior Analyst

Greenwood, IN

$67K - $82K/yr

Part-time and full-time positions available. For nearly 15 years, the Behavior Analysis Center for ... Analyze data/behavior and makes data-based decisions * Guide ongoing implementation of teaching ...

Stantec

Civil Engineer in Training

Indianapolis, IN · On-site

$60K - $69K/yr

Perform data analysis and calculations to analyze and design civil system components. * Collect ... Regular full-time and part-time employees (working at least 20 hours per week) have access to ...

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All JobsData Analyst JobsPart Time Data Analyst JobsPart Time Data Analyst Jobs in Fishers, IN

Part Time Data Analyst information

See Fishers, IN salary details

$30.6K

$74.4K

$122.4K

How much do part time data analyst jobs pay per year?

As of Jul 27, 2026, the average yearly pay for part time data analyst in Fishers, IN is $74,401.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,300.00 and $87,300.00 per year, depending on experience, location, and employer.

What are part time data analysts?

Part time data analysts are professionals who work fewer hours than a standard full-time schedule, typically analyzing and interpreting data to help organizations make informed decisions. They use statistical tools and software to process data, identify trends, and generate reports. Part time positions are ideal for those seeking flexible work arrangements, such as students, parents, or individuals with other commitments. Despite working fewer hours, part time data analysts are expected to have strong analytical skills and proficiency in data management tools. Their contributions are valuable to businesses seeking data-driven insights without the need for a full-time role.

Is 40 too late for data science?

A part-time data analyst role typically requires skills in data manipulation, statistical analysis, and tools like Excel or SQL. Age is not a barrier; many professionals transition into data roles later in their careers by gaining relevant certifications or training. Success depends on skills, experience, and continuous learning rather than age alone.

Can you be a data analyst as a side hustle?

Yes, data analysts can pursue side projects or freelance work outside their main employment, often using skills in Excel, SQL, or data visualization tools. Managing time and maintaining confidentiality are important when working part-time or freelance as a data analyst.

Will AI replace data analysts?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking and communication that AI cannot fully replicate, so AI is more likely to augment rather than replace the profession.

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

AspectPart Time Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; some roles may require certifications like Microsoft Excel or SQLBachelor's or master's degree in data science, statistics, or related fields; often requires programming skills and certifications
Work EnvironmentTypically in office settings, supporting specific projects or departments, with flexible or part-time hoursUsually in tech or research environments, working on complex models and large datasets, often full-time
Employer & Industry UsageUsed across industries like finance, marketing, healthcare for data reporting and analysisCommon in tech, finance, and research sectors for developing predictive models and advanced analytics

While both roles involve data analysis, Part Time Data Analysts focus on supporting business decisions with basic data tasks, often on a flexible schedule. Data Scientists handle complex modeling and predictive analytics, typically in full-time roles. The choice depends on your skills, experience, and career goals.

Is a data analyst a part-time job?

A data analyst position can be offered as either full-time or part-time, depending on the employer and project needs. Part-time data analyst roles typically involve fewer hours per week and may require skills in data visualization, SQL, and Excel. Availability for part-time work varies by company and industry demand.

What Does a Part-Time Data Analyst Do?

A part-time data analyst collects, organizes, assesses, and reviews information. In this career, you review data to ensure that it is accurate and to identify trends, provide analysis of a market or a company’s operations and processes, or meet other needs of a company or client. Data analysts typically create reports that explain their analysis. Your responsibilities also include helping to develop and deploy systems and tools to collect, extract, and categorize data so that you can analyze it more efficiently. As a part-time employee, you perform your duties for less than 40 hours per week.

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

To excel as a Part Time Data Analyst, you need proficiency in data analysis, statistical methods, and a relevant degree such as mathematics, statistics, or computer science. Familiarity with technical tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting and presenting data insights. These competencies enable accurate, actionable analyses that support decision-making, even within limited working hours.

How does a part-time data analyst typically collaborate with full-time team members to ensure project continuity?

As a part-time data analyst, you’ll often work closely with full-time analysts, project managers, and business stakeholders to maintain seamless project progress. Regular check-ins, clear documentation of your analyses, and using collaborative tools like shared dashboards or project management software are key practices. Flexibility and strong communication skills are essential, as you may need to align your schedule with team meetings or coordinate handoffs to ensure your work integrates smoothly with ongoing projects.
More about Part Time Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Fishers, IN? The most popular types of Data Analyst jobs in Fishers, IN are:
What job categories do people searching Part Time Data Analyst jobs in Fishers, IN look for? The top searched job categories for Part Time Data Analyst jobs in Fishers, IN are:
What cities near Fishers, IN are hiring for Part Time Data Analyst jobs? Cities near Fishers, IN with the most Part Time Data Analyst job openings:
Part Time Data Analyst jobs near you
Infographic showing various Part Time Data Analyst job openings in Fishers, IN as of July 2026, with employment types broken down into 85% Full Time, 8% Part Time, 1% Temporary, and 6% Contract. Highlights an 82% Physical, 8% Hybrid, and 10% Remote job distribution, with an average salary of $74,401 per year, or $35.8 per hour.
People Analytics Analyst

People Analytics Analyst

TEGNA Inc.

Indianapolis, IN • On-site

Full-time, Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

TEGNA rating

6.7

Company rating: 6.7 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

53rd of 75 rated media

Job description

About TEGNA
TEGNA Inc. (NYSE: TGNA) helps people thrive in their local communities by providing the trusted local news and services that matter most. With 64 television stations in 51 U.S. markets, TEGNA reaches more than 100 million people monthly across the web, mobile apps, streaming, and linear television. Together, we are building a sustainable future for local news.
We are seeking a curious, analytical, and forward-thinking People Analytics Analyst to join our HR Operations & Technology team. This role blends people analytics, business intelligence, data automation, and emerging AI capabilities to help leaders make data-driven workforce decisions.
The ideal candidate is technically skilled and experienced in building dashboards, automating data processes, and transforming complex data into actionable insights. You will partner closely with HR, Finance, and business leaders to define key workforce metrics, identify trends, and deliver analytics that drive strategic decision-making.
You will work with tools including Power BI, Snowflake, Python, APIs, and AI-driven analytics solutions to build scalable reporting and insights capabilities.
This is a hybrid position based in our Indianapolis office (WTHR), with an in-office presence required three days per week.
Responsibilities:
• Analyze workforce data to identify trends, patterns, and opportunities related to hiring, retention, engagement, compensation, and organizational effectiveness.
• Define, document, and standardize key people metrics and reporting methodologies across the organization.
• Design, develop, and maintain interactive dashboards and reports using Power BI and other visualization tools; use APIs to automate and connect data sources.
• Collaborate with HR and business stakeholders to understand reporting needs, translate them into scalable analytics solutions, and clearly communicate insights and recommendations in a concise, actionable way.
• Develop automated data pipelines and workflows to improve reporting efficiency and data accuracy.
• Integrate and manage data from multiple sources using APIs, data connectors, and automation tools.
• Leverage AI and machine learning techniques to support predictive analytics, anomaly detection, and trend analysis.
• Ensure data quality, consistency, and governance across people-related data sources.
Qualifications:
• 3+ years of experience in data science, business intelligence or a related field.
• Experience working with HR, workforce, or people-related data.
• Strong proficiency with Power BI, including dashboard development, data modeling, and visualization best practices.
• Advanced Excel skills for data analysis and reporting.
• Experience with Python, R, or another scripting language for data analysis and automation.
• Experience working with APIs and data integrations
• Familiarity with HR technology platforms such as UKG Pro, Greenhouse, ServiceNow, or similar systems.
• Experience with Snowflake or other cloud-based data platforms.
• Exposure to statistical analysis, predictive modeling, or machine learning techniques.
Benefits:
TEGNA offers comprehensive benefits designed to safeguard the physical, mental and financial health of our employees and their families. TEGNA offers two medical plan options for full and part-time employees through Blue Cross Blue Shield of Texas, as well as access to dental and eye care coverage; fertility, surrogacy and adoption assistance; disability and life insurance.
Our 401(k) program offers full, part-time and temporary employees the opportunity to contribute 1% - 80% of their pay on a pre-tax basis to TEGNA's 401(k). Contributions made up to the first 4% of pay are eligible for a 100% match from the company and are 100% vested from day one.
Regardless of participation in TEGNA medical plans, ALL employees and their eligible family members receive nine free virtual doctor's appointments with a physician through Teladoc, and 12 free annual therapy sessions with a licensed clinician through Spring Health.
TEGNA offers a generous Paid Time Off (PTO) benefit as well as nine paid holidays per year.
* Some jobs are covered by a collective bargaining agreement and thus some or all of the benefits described herein may not apply. For example, some newsroom bargaining unit employees receive health and retirement benefits under plans administered by the union.
EEO statement:
TEGNA Inc. is a proud equal opportunity employer. We are proud to be an equal opportunity employer, hiring and developing individuals from diverse backgrounds and experiences to add to our collaborative culture. We value and consider applications from all qualified candidates without regard to actual or perceived race, color, religion, national origin, sex, gender, age, marital status, personal appearance, sexual orientation, gender identity or expression, family responsibilities, disability, medical condition, enrollment in college or vocational school, political affiliation, military or veteran status, citizenship status, genetic information, or any other basis protected by federal, state or local law. TEGNA will reasonably accommodate qualified individuals with disabilities in accordance with applicable law. If you are in need of an accommodation in order to submit your application, please email askhr@tegna.com
Recruiting Fraud Alert:To all candidates: your personal information and online safety are important to us. Only TEGNA Recruiters or Hiring Managers will reach out to you regarding consideration of your application or background. Communications with TEGNA employees will either come from a TEGNA email address with a domain of tegna.com or one of our affiliate station domains.
Recruiters or Hiring Managers will never request payments, ask for financial account information or sensitive information such as social security numbers.
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