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Part Time Data & Analytics Jobs (NOW HIRING)

Assists senior analytics staff with data-management and data-quality tasks. * Performs other ... Special Requirements * Part-time schedule, working 20 hours or less per week. KNOWLEDGE, SKILLS ...

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Data Collection Associate-Belgrade, MT

Belgrade, MT ยท On-site

$18.75 - $25.75/hr

... analysis, and customer targeting that always hit the mark. Responsible for collecting and ... Click the link below to learn more about the duties and responsibilities of a part time Data ...

Data Analyst

Dayton, OH ยท On-site +1

$61K - $141K/yr

Develop data analytics and visualizations by applying proven, industry-standard data science ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Analyst Assistant

American Fork, UT ยท On-site

$20 - $22/hr

Data Analyst Assistant (Part-time, 20 hours/week) - Programming Focus Location: American Fork, Utah (In Office) About Us: Brevium is a dynamic and innovative healthcare technology company located in ...

Data Analyst Assistant (Part-time, 20 hours/week) - Programming Focus Location: American Fork, Utah (In Office) About Us: Brevium is a dynamic and innovative healthcare technology company located in ...

This temporary part-time opportunity is designed to help manage critical operational workloads ... Data Analytics, Finance, Accounting, Business Administration, or related analytical disciplines

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Part Time Data Analytics information

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How much do part time data & analytics jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for part time data & analytics in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

What is a part time data & analytics professional?

Part-time data & analytics jobs involve working with data to gather insights, create reports, and support decision-making, but on a reduced or flexible work schedule. These roles may include tasks like data cleaning, analyzing trends, creating dashboards, and presenting findings to stakeholders. Part-time positions are ideal for students, professionals seeking flexible hours, or those balancing other commitments. Employers often look for candidates with skills in Excel, SQL, or data visualization tools. These jobs can be found in many industries, including marketing, healthcare, finance, and technology.

What skills and qualifications are needed to thrive as a part time data & analytics professional?

To thrive as a Part Time Data & Analytics professional, you typically need a background in statistics, mathematics, or computer science, along with experience in data analysis and interpretation. Familiarity with tools like Excel, SQL, Python, or Tableau is commonly required, and certifications in data analytics or related fields can be advantageous. Strong attention to detail, critical thinking, and effective communication skills help individuals excel in this role. These skills and qualities are crucial for delivering actionable insights that drive informed decision-making and business success.

How does a part time data & analytics professional typically collaborate with full time team members to ensure project continuity?

Part-time Data & Analytics professionals often coordinate closely with full-time team members through regular check-ins, shared documentation, and project management tools to maintain seamless workflow. They may attend key meetings, provide updates on their progress, and clarify priorities to ensure that their contributions align with ongoing projects. Effective communication and proactive scheduling are essential to bridge any gaps due to limited hours, allowing part-time analysts to stay informed and integrated with the team's objectives.

Can data analysts work part-time?

Data analysts can work part-time, depending on employer needs and project requirements. Many organizations offer flexible schedules, and part-time roles often involve skills in data visualization, SQL, and Excel. Such positions may require specific certifications or experience but are common in the industry.
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What cities are hiring for Part Time Data & Analytics jobs?

Cities with the most Part Time Data & Analytics job openings:

What are the most commonly searched types of Data & Analytics jobs?

The most popular types of Data & Analytics jobs are:

What states have the most Part Time Data & Analytics jobs?

States with the most job openings for Part Time Data & Analytics jobs include:

Infographic showing various Part Time Data & Analytics job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.

Part Time IT Data Analyst I

City Of Roswell

Roswell, GA โ€ข On-site

$20/hr

Part-time

Posted 3 days ago

New


Job description

City of Roswell, Georgia

JOB DESCRIPTION www.roswellgov.com/jobs

To perform this job successfully, an individual must be able to perform the essential job functions satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the primary job functions herein described. Since every duty associated with this position may not be described herein, employees may be required to perform duties not specifically spelled out in the job description, but which may be reasonably considered to be incidental in the performing of their duties just as though they were actually written out in this job description.


Department: Administration

FLSA Status: Non-Exempt

JOB SUMMARY

This is a part-time, entry-level position working 20 hours or less per week. The IT Data Analyst I supports the collection, organization, and analysis of data and assists in developing reports, dashboards, and visualizations that support decision-making across the City. Working under the direction of the Enterprise and Data Manager and alongside senior analytics staff, the position performs foundational data tasks with guidance.

The role is well suited to an early-career analyst building experience in data analysis, reporting, and business intelligence. It emphasizes learning established tools and processes, producing accurate routine and ad-hoc reporting, and following the City's data governance and quality practices rather than defining them.

ESSENTIAL JOB FUNCTIONS
  • Assists in collecting, cleaning, and validating datasets from multiple sources to support data accuracy and integrity.
  • Helps analyze data to identify basic trends and patterns under the guidance of senior staff.
  • Assists in building and maintaining dashboards, reports, and data visualizations for business users.
  • Runs, refreshes, and updates existing reports, and produces routine and ad-hoc analyses as requested.
  • Helps translate business requirements into simple reporting solutions and communicates findings clearly to non-technical users.
  • Supports cross-functional teams (IT, Finance, Comms, Comm Dev, and others) in gathering data and reporting requirements.
  • Assists in monitoring key performance indicators (KPIs) and in maintaining routine and automated reporting processes.
  • Follows established data governance, privacy, and security policies and procedures.
  • Assists senior analytics staff with data-management and data-quality tasks.
  • Performs other related tasks and duties as required.
MINIMUM QUALIFICATIONS

Education and Experience

  • Enrollment in or completion of coursework, a certificate, or a degree in Data Analytics, Statistics, Computer Science, Information Systems, Mathematics, Business, or a related field.
  • Zero to one (0-1) years of experience in a data, analytics, reporting, or related role; relevant internships, academic projects, or coursework may substitute for professional experience.
  • Foundational proficiency in Microsoft Excel, including sorting, formulas, and pivot tables.
  • Basic familiarity with SQL and/or a data visualization tool (such as Power BI) is preferred.
  • Any equivalent combination of education, training, and experience that provides the requisite knowledge, skills, and abilities may be considered.
Special Requirements
  • Part-time schedule, working 20 hours or less per week.



KNOWLEDGE, SKILLS, AND ABILITIES
  • Strong attention to detail, reliability, and a willingness to learn.
  • Good written and verbal communication skills, with the ability to present simple findings clearly.
  • Ability to follow instructions and work effectively under the guidance of senior staff.
  • Basic problem-solving skills and the ability to organize and manage assigned tasks and deadlines.
  • Interest in developing skills in SQL, data visualization (such as Power BI), and data analysis.
  • Ability to handle data responsibly and maintain confidentiality.
  • Familiarity with scripting or automation (such as Python or SQL), cloud data platforms, or data warehousing concepts is a plus, but is not required.
PHYSICAL DEMANDS

The work is sedentary to light, which requires the ability to exert light physical effort, but which may involve some lifting, carrying, pushing and/or pulling of objects and materials of light weight (up to 10 pounds). Tasks may involve extended periods of time at a keyboard or workstation. Tasks also require the ability to perceive and discriminate colors or shades of colors, depth, texture, and visual cues or signals. The position requires the ability to communicate orally and in writing.

WORK ENVIRONMENT

Work is regularly performed without exposure to adverse environmental conditions.


The City has the right to revise this job description at any time. This description does not represent in any way a contract of employment.

The City of Roswell, Georgia commits to a policy of equal employment opportunity for applicants and employees, complying with local, state and federal laws. The City's policy is to employ qualified persons without discrimination regarding race, creed, color, religion, age, sex, country of national origin, marital status, disability, sexual orientation, gender identity, genetic information, political affiliation, ethnicity, or status in any other group protected by federal/state/local law.