ZipRecruiter

Log In

2

Part Time Weekend Data Analyst Jobs (NOW HIRING)

Remex, Inc

Data Analyst

Skillman, NJ · On-site

$18 - $23/hr

Established in 1983, Remex, Inc. is a dynamic accounts receivable management company seeking a part-time Data Analyst to manage the transfer of client data files into our enterprise application ...

Booz Allen Hamilton, Inc.

Data Analyst

Dayton, OH · On-site +1

$61K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Share Data Analyst The Opportunity: The Data Analyst applies their technical and analytical ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Margaritaville at Sea

Data Analyst

Orlando, FL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Responsibilities: The Data Analyst is responsible for ensuring enterprise data is accurate ... Part-time with benefits employees receive time off based on the number of hours they work. Other ...

Booz Allen Hamilton, Inc.

Data Analyst

San Diego, CA · On-site +1

$61K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

As data analyst, you love diving into data and turning it into meaningful insights. With the ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

netx

Data Analyst

New York, NY · On-site

Data Analyst - part time Netx is a great place to work - we think you're going to love it here. We pride ourselves on having a great team and fun work environment while doing great work for our ...

Brevium

Data Analyst Assistant

American Fork, UT · 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 ...

Brevium

Data Analyst Assistant

American Fork, UT

$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 ...

The Pennsylvania State University

The Analyst would be responsible for supporting methods development and data analysis for a variety of projects, and may have opportunities to contribute to the implementation of an effective ...

Booz Allen Hamilton, Inc.

Data Analyst, Senior

Fayetteville, NC · On-site +1

$79K - $99K/yr

  • Medical

  • Life

  • Retirement

  • PTO

As data analyst, you love diving into data and turning it into meaningful insights. With the ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Analyst, Senior

Hurlburt Field, FL · On-site +1

$78K - $99K/yr

  • Medical

  • Life

  • Retirement

  • PTO

As data analyst, you love diving into data and turning it into meaningful insights. With the ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

next page

Showing results 1-20

All JobsData Analyst JobsPart Time Weekend Data Analyst Jobs

Part Time Weekend Data Analyst information

See salary details

$34K

$82.6K

$136K

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

As of Aug 14, 2026, the average yearly pay for part time weekend 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 some common challenges faced by part time weekend data analysts, and how can they be addressed?

Part-time weekend data analysts often face challenges such as limited access to team members who work standard weekday hours and tighter deadlines due to condensed work schedules. To address these, it's helpful to establish clear communication channels with colleagues and supervisors, proactively clarify expectations, and use collaborative tools that allow for asynchronous updates. Additionally, effective time management and setting priorities are essential to ensure that data analysis tasks are completed accurately and on time. Seeking feedback during available hours and documenting work thoroughly can further help maintain workflow continuity.

What is a part time weekend data analyst?

Part time weekend data analysts are professionals who work with data to help organizations make informed decisions, but their work schedule is limited to weekends and often on a part-time basis. They collect, process, and analyze data using statistical tools and software, then present their findings to guide business strategies. This role is ideal for those who need flexibility or want to supplement their income, as it allows for work outside traditional weekday hours. Key responsibilities include data cleaning, report generation, and supporting data-driven decision-making. Employers often seek candidates with strong analytical skills, proficiency in tools like Excel or SQL, and the ability to communicate insights clearly.

What are the key skills and qualifications needed to thrive as a part time weekend data analyst, and why are they important?

To thrive as a Part Time Weekend Data Analyst, you need strong analytical skills, proficiency in data interpretation, and a background in statistics or a related field, often supported by a relevant degree. Familiarity with data visualization tools (like Tableau or Power BI), spreadsheet software (Excel), and programming languages such as SQL or Python is typically required. Attention to detail, effective communication, and time management are vital soft skills, especially for independently handling weekend projects. These skills enable accurate data-driven insights, efficient reporting, and timely decision-making even with limited weekday collaboration.

Is it still worth it to become a part time weekend data analyst in 2026?

Part-time weekend data analyst roles can still be valuable in 2026, especially as demand for data analysis skills grows across industries. These positions often require proficiency in tools like Excel, SQL, or Python, and can offer flexible schedules and experience that can lead to full-time opportunities or career advancement.

What cities are hiring for Part Time Weekend Data Analyst jobs?

Cities with the most Part Time Weekend Data Analyst job openings:

What are the most commonly searched types of Weekend Data Analyst jobs?

The most popular types of Weekend Data Analyst jobs are:

What job categories do people searching Part Time Weekend Data Analyst jobs look for?

The top searched job categories for Part Time Weekend Data Analyst jobs are:

Part Time Weekend Data Analyst jobs near you

Data Analyst - Part Time

City of Salt Lake City

Salt Lake City, UT • On-site

Part-time

Posted 9 days ago

Job description

Position Title:
Data Analyst - Part Time
Job Description:
Working under limited supervision, incumbent is responsible for providing strategic, tactical, and operational support and analytics to patrol, investigations, special operations and command staff as well as handling time-sensitive requests from city officials, other law enforcement agencies, and the public via GRAMA requests. Responsibilities include identifying emergent crime patterns and series, analyzing criminal activity and contributing to intervention efforts, communicating critical intelligence to officers, completing complex analyses joining datasets from disparate sources, and producing reports/dashboards/maps that meet the needs of internal and external stakeholders. Candidate has advanced knowledge of visualization software such as ArcGIS, Tableau, and Power BI, and/or coding languages such as SQL, Python, or R.
Incumbents at this level possess the skill and demonstrated ability to apply advanced knowledge and effectiveness to facilitate data-driven decision-making within in the organization as well as the city overall.
This is a part-time, hourly position.
If operation of a city-owned motor vehicle is required a motor vehicle records check will be conducted during the hiring process or onboarding.
TYPICAL DUTIES:
  • Works with data in multiple systems, develops appropriate datasets, applies analytical best practices, ensures accuracy, and creates reports, dashboards, and maps that meet the needs of the end users, which include the department, outside agencies, city officials, and the public.
  • Designs the right solutions for partners through a clear understanding of what questions are being asked. Helps various stakeholders understand key takeaways from the results.
  • Serves as primary contact and subject matter expert for patrol divisions and investigations. Provides on-demand support based on quickly evolving crime patterns and the emerging needs of city leaders.
  • Participates in the investigative process through analytical examination of data, intelligence, and evidence, to identify offenders and link cases in support of successful case resolution.
  • Performs comprehensive research of persons, places, and vehicles in criminal cases.
  • Conducts open-source research and data analysis of social media for potential criminal activity and/or threats to the community.
  • Presents clear and concise findings to stakeholders and provides recommendations. Encourages partners to consider new data-driven approaches.
  • Evaluates and anticipates reporting needs of the department.
  • Consistently delivers work products on time.
  • Demonstrates technical expertise by knowing which data tools are best suited to accomplish certain requests.
  • Troubleshoots data challenges and reconciles discrepancies with creative problem solving.
  • Collaborates with IT partners and analyst colleagues across the city to develop optimized data solutions.
  • Develops trust and partnerships within the department to deliver value-added reporting and intelligence that reflects the strategic objectives of the organization.
  • Handles highly sensitive information with integrity and professionalism.
  • Performs additional duties as assigned.

MINIMUM QUALIFICATIONS:
  • Graduation from an accredited four-year college or university with a bachelor's degree in the Social Sciences, Data/Computer Science, Statistics/Mathematics, Criminology/Criminal Justice, or closely related field and three years of professional experience in analytics. This includes gathering data, interpreting the results, identifying trends and patterns, creating visualizations and narratives that explain the main takeaways.
  • Directly related work experience may be substituted for education on a year-for-year basis. A master's degree in a related field may be substituted for up to two years of professional experience.
  • Advanced knowledge of visualization software such as ArcGIS, Tableau, and Power BI, and/or coding languages such as SQL, Python, or R.
  • Ability to collect and analyze data/trends and make appropriate recommendations to further a department's goals. Possess strong data analysis skills and project management skills.
  • Excellent problem-solving skills and ability to think creatively with numbers. When encountering roadblocks, communicates the issue and considers alternate solutions.
  • Strong verbal and written communication skills. Effectively communicates with people of diverse backgrounds within and outside an organization.
  • Knowledge of the theory, principles, practices, and methods of crime analysis and criminal behavior.
  • Manage conflicting priorities with different timelines, multitask, and effectively adapt to change.
  • Demonstrates critical thinking skills by asking questions and identifying opportunities for improvement. Always looking to learn and enhance personal and team performance.
  • Proficient in Microsoft Office.
  • Able to learn new software and analytic techniques and apply it to future projects.

DESIRED QUALIFICIATIONS:
  • In depth knowledge of statistics, quantitative analysis, and telling stories with data.
  • Professional experience using analytical software, databases, and systems used to gather analytics and intelligence such as ArcGIS, Tableau, Power BI, SQL, Python, or R.
  • Master's degree in GIS, Data/Computer Science, Statistics/Mathematics, Criminology/Criminal Justice, or related field.
  • Professional certifications including International Association of Crime Analysts (IACA).
  • Technical certifications in programming such as SQL, Python, etc.

The above statements are intended to describe the general nature and level of work being performed by persons assigned to this job. They are not intended to be an exhaustive list of all duties, responsibilities and skills required of personnel so classified. All requirements are subject to possible modification to reasonably accommodate individuals with disabilities
POSITION TYPE
Part-Time
DEPARTMENT
Police
Full Time/Part Time:
Part time
Scheduled Hours:
0

Apply