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Part Time Analytics Jobs in Utah (NOW HIRING)

LoanPro

RevOps Analyst (Part-time)

Farmington, UT

  • Medical

  • Dental

  • Retirement

  • PTO

RevOps Analyst (Part-time) - Farmington, UT Why LoanPro: "We want to change how the future of ... Data Analytics, or a related field. * Interest in Enterprise SaaS, B2B sales, and revenue ...

LoanPro

RevOps Analyst (Part-time)

Farmington, UT · On-site

  • Medical

  • Dental

  • Retirement

  • PTO

RevOps Analyst (Part-time) - Farmington, UT Why LoanPro: "We want to change how the future of ... Data Analytics, or a related field. * Interest in Enterprise SaaS, B2B sales, and revenue ...

LedgerGurus

Part-Time Accounting Manager

Lehi, UT · On-site +1

$32 - $39/hr

  • Retirement

  • PTO

PART-TIME REMOTE ACCOUNTING MANAGER LedgerGurus is looking to hire a part-time Accounting Manager ... We provide each client with an accounting team to perform the following: analyze data for a client ...

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 ...

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All JobsAnalytics JobsPart Time Analytics JobsPart Time Analytics Jobs in Utah

Part Time Analytics information

See Utah salary details

$55.1K

$112.7K

$159.3K

How much do part time analytics jobs pay per year?

As of Aug 19, 2026, the average yearly pay for part time analytics in Utah is $112,748.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,200.00 and $139,700.00 per year, depending on experience, location, and employer.

What is a part time analytics job?

Part-time analytics jobs involve analyzing data to help organizations make informed decisions, but on a reduced or flexible schedule instead of a traditional full-time position. These roles can include tasks such as data collection, statistical analysis, creating reports, and providing insights into business trends. Part-time analytics professionals may work in various industries, including finance, marketing, healthcare, or e-commerce. These jobs are ideal for individuals seeking work-life balance, students, or those looking to gain experience while managing other commitments.

What are the key skills and qualifications needed to thrive as a part time analytics professional?

To thrive as a Part Time Analytics professional, you need a solid understanding of data analysis, statistical methods, and proficiency in tools like Excel, supported by relevant coursework or a degree in a quantitative field. Familiarity with analytics platforms such as SQL, Tableau, or Python, and sometimes certifications like Google Data Analytics, are commonly required. Strong problem-solving abilities, attention to detail, and clear communication help you interpret data and present insights effectively. These skills ensure you can deliver actionable data-driven recommendations that support business decisions, even within limited working hours.

How does a part time analytics professional typically collaborate with full-time team members and stakeholders?

Part-time analytics professionals often work closely with full-time analysts, data engineers, and business stakeholders by attending key meetings, sharing progress updates, and contributing insights on specific projects. While their hours may be limited, clear communication and proactive scheduling help ensure that deliverables align with team timelines. Tools like shared dashboards, project management platforms, and regular check-ins are commonly used to maintain alignment and maximize impact. Adapting quickly to shifting priorities and being flexible with availability are important for successful collaboration in this role.

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

AspectPart Time AnalyticsPart Time Data Analyst
Required CredentialsTypically a degree in analytics, statistics, or related fieldUsually a degree in data science, statistics, or similar
Work EnvironmentBusiness, consulting, or tech companiesCorporate, finance, or marketing sectors
Employer & Industry UsageUsed across industries for decision supportCommon in finance, healthcare, and marketing
Search & Comparison IntentUnderstanding roles and responsibilitiesClarifying job scope and skills needed

Part Time Analytics focuses on analyzing data to inform business decisions, often involving strategic insights. Part Time Data Analyst typically emphasizes data collection, cleaning, and reporting. While both roles require analytical skills and similar credentials, Part Time Analytics may involve higher-level interpretation, whereas Part Time Data Analyst is more data-focused. Understanding these differences helps job seekers find roles aligned with their skills and career goals.

Can data analysts work part-time?

Data analysts can work part-time, with many roles offering flexible schedules or project-based assignments. Part-time positions typically require proficiency in data analysis tools like Excel, SQL, or Python, and may involve remote work options. Availability depends on employer needs and the specific job requirements.

What are the most commonly searched types of Analytics jobs in Utah?

The most popular types of Analytics jobs in Utah are:

Part Time Analytics jobs near you
Infographic showing various Part Time Analytics job openings in Utah as of August 2026, with employment types broken down into 1% Internship, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 77% Physical, 8% Hybrid, and 15% Remote job distribution, with an average salary of $112,748 per year, or $54.2 per hour.

Data Analyst - Part Time

City of Salt Lake City

Salt Lake City, UT • On-site

Part-time

Posted 14 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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