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Part Time Data Analyst Jobs in Sandy, UT (NOW HIRING)

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 ...

University of Utah

Data Entry Clerks

Salt Lake City, UT · On-site

$15/hr

This part-time position offers an opportunity to work closely with our marketing team and gain ... Analyze and monitor the effectiveness of marketing efforts, including email and text message ...

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All JobsData Analyst JobsPart Time Data Analyst JobsPart Time Data Analyst Jobs in Sandy, UT

Part Time Data Analyst information

See Sandy, UT salary details

$32.3K

$78.5K

$129.2K

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

As of Aug 11, 2026, the average yearly pay for part time data analyst in Sandy, UT is $78,530.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,400.00 and $92,200.00 per year, depending on experience, location, and employer.

What is a part time data analyst?

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.

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.

Are part time data analyst jobs still in demand?

Part-time data analyst jobs remain in demand as organizations seek flexible staffing options to analyze data, generate insights, and support decision-making. Skills in tools like Excel, SQL, and data visualization software are valuable, and remote or flexible schedules are increasingly common in this field.

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 Sandy, UT? The most popular types of Data Analyst jobs in Sandy, UT are:
What job categories do people searching Part Time Data Analyst jobs in Sandy, UT look for? The top searched job categories for Part Time Data Analyst jobs in Sandy, UT are:
What cities near Sandy, UT are hiring for Part Time Data Analyst jobs? Cities near Sandy, UT 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 Sandy, UT as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $78,530 per year, or $37.8 per hour.

Data Analyst - Part Time

City of Salt Lake City

Salt Lake City, UT • On-site

Part-time

Posted 6 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

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