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Part Time Analytics Jobs in Utah (NOW HIRING)

Benefits This is a full-time or part-time REMOTE position You'll be able to choose which projects ... threat analysis, vulnerability assessments, and offensive security techniques Design and solve ...

Benefits This is a full-time or part-time REMOTE position You'll be able to choose which projects ... threat analysis, vulnerability assessments, and offensive security techniques Design and solve ...

Benefits This is a full-time or part-time REMOTE position You'll be able to choose which projects ... threat analysis, vulnerability assessments, and offensive security techniques Design and solve ...

M&A Analyst

Salt Lake City, UT · Remote

$50 - $60/hr

Job Overview We are looking for an M&A Analyst to join our team to train AI models. You will ... Benefits Full-time or part-time remote position Choose which projects you want to work on Work on ...

Benefits This is a full-time or part-time REMOTE position You'll be able to choose which projects ... analysis, financial modeling, data analysis, and other reasoning exercises related to finance ...

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Showing results 1-20

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 May 28, 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 are the key skills and qualifications needed to thrive as a Part Time Analytics professional, and why are they important?

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 are part-time analytics jobs?

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 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.

What are the most commonly searched types of Analytics jobs in Utah? The most popular types of Analytics jobs in Utah are:
Malware Analyst

Malware Analyst

DataAnnotation

Salt Lake City, UT • Remote

$40/hr

Full-time, Part-time

This job post has expired today. Applications are no longer accepted.


Job description

We are looking for experienced cybersecurity professionals to join our team to help train AI models. In this role, you will evaluate AI-generated security content, solve technical cybersecurity problems, and provide feedback to improve how AI systems reason about real-world threats and defenses. Cybersecurity platforms are increasingly powered by AI, but these systems still require practitioners with real-world experience to validate their outputs.

You will work directly with advanced AI models to assess their accuracy, strengthen their reasoning, and contribute to building more reliable tools for the cybersecurity industry. Benefits This is a full-time or part-time REMOTE position You'll be able to choose which projects you want to work on You can work on your own schedule Projects are paid hourly starting at $40+ USD per hour Work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand Responsibilities Evaluate AI-generated cybersecurity content, including threat analysis, vulnerability assessments, and offensive security techniques Design and solve security-focused technical problems used to train AI systems Write clear technical explanations and security-relevant code Provide feedback that directly shapes the next generation of AI security models Qualifications 2+ years of hands-on experience in cybersecurity (e.g., penetration testing, red teaming, incident response, detection engineering, DFIR, malware analysis, threat intelligence, or similar) Some coding experience required Fluency in English (native or bilingual level) Strong writing and analytical skills A bachelor's degree is preferred Cybersecurity certifications are a plus (e.g., OSCP, CRTO, GREM, GCFA, CEH) Notes To get started, you will complete a short assessment. If successful, you will gain access to paid work through our platform.

Payment is made via PayPal. We will never ask for any money from you. This role is only available to candidates in the US, Canada, UK, Ireland, Australia, and New Zealand.

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