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Hourly Data Analytics Jobs in Draper, UT (NOW HIRING)

Stio

Data Analyst

Salt Lake City, UT · Remote

This is a remote role that is part of the Finance department and reports to the Director of Data & Analytics. YOUR RESPONSIBILITIES * Partner directly with stakeholders across the business (Product ...

Stio

Data Analyst

Salt Lake City, UT · Remote

This is a remote role that is part of the Finance department and reports to the Director of Data & Analytics. YOUR RESPONSIBILITIES * Partner directly with stakeholders across the business (Product ...

AVA Consulting

Data Analyst

Salt Lake City, UT · On-site

AVA Consulting is seeking a Data Analyst Location: Salt Lake City, UT (Hybrid) U.S. Citizens and ... Analytics across various domains is undergoing a fundamental shift, and we are looking for a highly ...

Brevium

Data Analyst Assistant

American Fork, UT · On-site

$20 - $22/hr

Our team is dedicated to delivering advanced data analytics and insights to empower healthcare professionals. Responsibilities: * Collaborate with the data science team to understand, enhance, and ...

United Trading Group

Data Analyst

Salt Lake City, UT · On-site

$69 - $105/hr

Data Analyst Part-Time - $50.00 - $76.00 Hourly Wage - Hybrid - 8/23/2026* - Recruiter - Breanna Granger | bgranger@utah.gov | 801-526-4337 *This job posting may close at any time after the minimum ...

Stadler US Inc.

Data Analyst

Salt Lake City, UT · On-site

HOW YOU CAN MAKE AN IMPACT The Data Analyst is responsible for collecting, analyzing, and interpreting manufacturing and supply chain data to support operational efficiency, inventory optimization ...

Omnicom

Data Analyst

Salt Lake City, UT · On-site

Data and Analytics Job Subfunction: Data Science and Analytics MRM is part of the Omnicom Precision Marketing activation practice. This practice integrates CRM platform expertise, journey management ...

Omnicom

Data Analyst

Salt Lake City, UT · Hybrid

Data and Analytics Job Subfunction: Data Science and Analytics MRM is part of theOmnicomPrecision Marketing activation practice.This practice integrates CRM platform expertise, journey management ...

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Hourly Data Analytics information

See Draper, UT salary details

$22

$51

$88

How much do hourly data analytics jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for hourly data analytics in Draper, UT is $51.18, according to ZipRecruiter salary data. Most workers in this role earn between $41.11 and $57.98 per hour, depending on experience, location, and employer.

What is hourly data analytics?

Hourly data analytics refers to the process of collecting, analyzing, and interpreting data on an hourly basis to monitor trends, performance, and patterns within that specific timeframe. This approach is commonly used in industries such as retail, IT, and manufacturing to spot hourly fluctuations, optimize operations, and make timely decisions. Hourly data analytics can help organizations quickly identify issues or opportunities and respond proactively, improving overall efficiency and outcomes.

What are the key skills and qualifications needed to thrive as an hourly data analyst, and why are they important?

To thrive as an Hourly Data Analyst, you need strong analytical abilities, proficiency with data manipulation, and a foundational understanding of statistics, often supported by a degree in a quantitative field. Familiarity with tools such as Excel, SQL, and data visualization platforms like Tableau or Power BI is typically required. Attention to detail, problem-solving, and effective communication are crucial soft skills that set top performers apart. These skills and qualities are important to ensure accurate data insights, efficient task completion, and clear reporting to stakeholders.

What are some common challenges faced in an hourly data analytics role, and how can I prepare for them?

In an hourly data analytics role, a common challenge is managing multiple short-term projects with tight deadlines, as tasks often shift based on immediate business needs. You'll need to quickly analyze datasets, generate actionable insights, and communicate findings to different stakeholders, sometimes with limited context. To succeed, focus on honing your time management, adaptability, and clear communication skills. Being comfortable with learning new analytics tools on the fly and collaborating with cross-functional teams will also help you thrive in this dynamic environment.

What is the difference between Hourly Data Analytics vs Data Analyst?

AspectHourly Data AnalyticsData Analyst
Work HoursTypically hourly, flexible shiftsUsually full-time, standard hours
CertificationsRelevant certifications (e.g., Google Data Analytics)Same certifications often required
Work EnvironmentContract or freelance settings, remote or onsiteCorporate or organizational settings, office or remote
Job ScopeProject-based, task-specificBroader analysis responsibilities

Hourly Data Analytics and Data Analyst roles share similar skills and certifications but differ mainly in work hours and employment type. Hourly Data Analytics offers flexible, project-based work, while Data Analysts often work full-time in organizational settings. Both roles require comparable analytical skills and certifications, making them closely related in the data industry.

What are the most commonly searched types of Data Analytics jobs in Draper, UT?

The most popular types of Data Analytics jobs in Draper, UT are:

What cities near Draper, UT are hiring for Hourly Data Analytics jobs?

Cities near Draper, UT with the most Hourly Data Analytics job openings:

Hourly Data Analytics jobs near you

Manager, Fraud Detection and Data Analytics

Salt Lake City, UT

Fidelity Investments
10K+ employees

8.7

Company rating: 8.7 out of 10

Based on 272 frontline employees who took The Breakroom Quiz

17th of 152 rated financial services

People enjoy working here

Good employer

Recommended by students

Learn more about Fidelity Investmentsexternal

Full-time

Posted 6 days ago

Job description

Job Description:

Note: Fidelity will not provide immigration sponsorship for this position.

The Role
The Fraud Detection Analytics Team is responsible for ensuring that fraudulent events-such as account logins, account openings, and payment attempts-occurring on Fidelity's platform are detected and mitigated in a timely manner. The team leverages a combination of vendor and internally developed tools and models to enable real-time detection and interdiction at various stages of the customer lifecycle.
You will work closely with data scientists, fraud strategists, and business stakeholders to support real-time fraud detection and prevention strategies. Your work will focus on identifying fraud and scam schemes and implementing detection solutions to mitigate risk, using advanced analytics and data analysis tools. Key responsibilities include:

  • Analyze complex datasets to identify risk signals related to cryptocurrency and scams involving money movement.

  • Use Python, SQL, and analytical tools to analyze large, complex, and unstructured datasets and extract actionable insights.

  • Implement fraud detection strategies in a real-time fraud decisioning engine.

  • Support anomaly detection efforts to identify coordinated fraud attacks and organized fraud rings.

  • Communicate insights clearly and effectively to influence stakeholders and drive product changes.

  • Collaborate across business units to drive data-informed strategies for fraud detection.

  • Contribute to the continuous improvement of the fraud detection program, through rule and model refinement, fraud hunting, and data discovery.

The Expertise and Skills You Bring

  • Bachelor's with 5 plus years or Master's with 3 plus years of experience in data analytics, preferably in fraud detection, cybersecurity, or risk domains.

  • Strong proficiency in Python and SQL for data analysis and automation.

  • Experience working with large-scale datasets and analytical platforms.

  • Skilled in using analytics tools (e.g., dashboards, statistical packages, data visualization platforms) and predictive statistics to perform advanced analytics and uncover actionable insights.

  • Ability to translate complex data into clear, actionable insights.

  • Strong communication and collaboration skills to work across teams and influence decisions.

  • Experience in anomaly detection, fraud/scams analytics, or crypto is a plus.

Fidelity's Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.

Certifications:Category:Data Analytics and Insights

Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

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