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Part Time Data Analyst Jobs (NOW HIRING)

$69K - $158K/yr

Share Signals Data Analyst, Mid The Opportunity: Leverage SIGINT and non-SIGINT data sources to ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

$69K - $158K/yr

Share Signals Data Analyst, Mid The Opportunity: Leverage SIGINT and non-SIGINT data sources to ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

... full-time or part-time. We believe that everyone, from seasoned professionals to first-time ... About the Role Fora is looking for a Senior Data Analyst, Marketing to join our growing Data team ...

Cyber Data Analyst

Alexandria, VA · On-site +1

$55K - $126K/yr

Share Cyber Data Analyst The Opportunity: When our country's cybersecurity is on the line, simply ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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Pay Range: $40.00 - $45.00/hr DOE Shift/Days: Part-Time (Schedule Info Pending) Are you a skilled Data Analyst who loves bridging the gap between complex database systems and real-world business ...

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Part Time Data Analyst information

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$34K

$82.6K

$136K

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

As of Jul 22, 2026, the average yearly pay for part time data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 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.
What cities are hiring for Part Time Data Analyst jobs? Cities with the most Part Time Data Analyst job openings:
What are the most commonly searched types of Data Analyst jobs? The most popular types of Data Analyst jobs are:
What states have the most Part Time Data Analyst jobs? States with the most job openings for Part Time Data Analyst jobs include:
Infographic showing various Part Time Data Analyst job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Part-time

Posted 16 days ago


Job description

Company Description

Non-profit private, Christian Liberal Arts University

Job Description

William Jessup University seeks a part-time person who is analytical, and detailed oriented in their approach to solving tasks for the role of Data & Operations Analyst in the School of Professional Studies (SPS). The Data & Operations Analyst is part of a team that serves the adult student population at WJU. As a member of our vibrant team, they exemplify the values and mission of WJU. We are looking for an individual with a strong sense of collaboration, a desire to be part of an inspired and productive team. This position is responsible for supporting and identifying the enrollment and budget forecasting needs of the SPS Director by turning data into information, information into insight and insight into business decisions. This position is also responsible for requirements analysis and design, developing analysis and reporting capabilities, and continuously monitoring performance and quality control plans to identify improvements within the CRM, SIS, and budget management software (Adaptive). The Analyst will help accomplish business objectives by identifying and solving department information and processing problems. The Analyst is responsible for maintaining the CRM database by entering, verifying, and balancing data, and training operators on new and existing data processes. In addition, the Analyst must also routinely examine their own methodologies to find ways of improving predictive accuracy. This position also trains and supervises student workers that work within the CRM and CAMS database, ensuring data quality and consistency. See job description for complete details. This is a part-time non-exempt position.

Normal working hours will be between 25-29/hours per week with schedule established M-F. Hours can be flexibly scheduled between 7am - 6pm once the person is trained. This is a part-time non-exempt position.

Qualifications

Detail-oriented individual with strong organizational support skills and quantitate skills

Interpersonal communication skills to interact with students, faculty, vendors, other

University departments and the general public

Have CA Driver's License and a vehicle or a way to get to and from offsite events

Able to apply the Federal and State regulations related to maintaining student and

personnel records in regards to confidentiality and personal privacy (FERPA)

Additional Information

ESSENTIAL JOB FUNCTIONS:

-Assist Director in budget and enrollment forecasting

Meet the Director's needs by identifying and addressing any current performance trends

Create/update enrollment reports containing budget/revenue implications for historical and realtime

analysis

Provide real-time and historical enrollment analysis and reports for the recruiting team and SPS

Director

-Responsible for monitoring and collecting all data associated with the recruitment process

Data entry and management within the CRM and University database

Locate and define new process improvement opportunities - develop and implement data

collection systems and other strategies that optimize statistical efficiency and data quality

Interpret data, analyze results using statistical techniques and provide ongoing reports to Director

Prepares team to use any new or updated systems by conducting training

-Support recruiting/marketing efforts by creating and maintaining email campaigns within the CRM,

collecting event attendance data, and reporting on findings

-Create and maintain SPS website content as needed in conjunction with the WJU Marketing Department

-Other organizational support as directed

REQUIRED KNOWLEDGE:

Experience with a CRM or other databases, preferably in a higher education setting

General familiarity witAll your information will be kept confidential according to EEO guidelines.