ZipRecruiter

Log In

1

Data Analysis Manager Jobs in Sandy, UT (NOW HIRING)

Workiva

Spring 2027 Intern - Data Analytics

Orem, UT · On-site +1

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... Exceptional organizational skills with the ability to multi-task and manage multiple processes ...

Workiva

Spring 2027 Intern - Data Analytics

Orem, UT · On-site

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... Exceptional organizational skills with the ability to multi-task and manage multiple processes ...

Pwc

Data Governance- Manager

Salt Lake City, UT · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract ...

Professional Recruiters

Be Seen First

Technical Data Analyst

Salt Lake City, UT · On-site

$77K - $100K/yr

... data analysis, reporting, system management, and operational improvement. This position works ... closely with engineering, operations, and field teams to monitor production performance, identify ...

previous pagenext page

Showing results 21-40

All JobsData Analysis JobsData Analysis Manager JobsData Analysis Manager Jobs in Sandy, UT

Data Analysis Manager information

See Sandy, UT salary details

$21.4K

$84.3K

$136.9K

How much do data analysis manager jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data analysis manager in Sandy, UT is $84,295.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,700.00 and $103,200.00 per year, depending on experience, location, and employer.

What does a data analysis manager do?

A Data Analysis Manager oversees teams that collect, process, and interpret data to help organizations make informed business decisions. They are responsible for managing data projects, ensuring data quality, and translating complex data findings into actionable insights for stakeholders. Additionally, they often coordinate with other departments, set analytical strategies, and mentor data analysts. Their role is crucial for driving data-driven decision-making in a company.

What are the key skills and qualifications needed to thrive as a data analysis manager?

To thrive as a Data Analysis Manager, you need advanced analytical skills, a strong background in statistics or data science, and relevant experience often backed by a degree in mathematics, computer science, or a related field. Expertise in tools such as SQL, Python, R, and business intelligence platforms, along with proficiency in data visualization software like Tableau or Power BI, is typically required. Leadership, effective communication, and problem-solving abilities are crucial soft skills for managing teams and translating complex data insights into actionable business strategies. These skills and qualities are essential for driving data-informed decision-making and ensuring the success of analytics initiatives within an organization.

How does a data analysis manager typically collaborate with other departments within an organization?

A Data Analysis Manager regularly partners with teams such as marketing, finance, operations, and IT to identify data needs and translate business questions into actionable analysis. They facilitate communication between data analysts and stakeholders, ensuring that data insights are aligned with organizational goals. By leading cross-functional meetings and presenting findings to non-technical audiences, they help drive data-informed decision-making across the company. This collaborative approach not only enhances the impact of analytics but also fosters a culture of data literacy throughout the organization.

What is the difference between Data Analysis Manager vs Data Analyst?

AspectData Analysis ManagerData Analyst
ResponsibilitiesOversees data analysis projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to support business decisions
Required SkillsLeadership, project management, advanced analyticsStatistical analysis, data visualization, technical skills
QualificationsBachelor's or master's in data science, statistics, or related field; experience in managementBachelor's in data science, statistics, or related field; technical proficiency
Work EnvironmentTypically in corporate offices, leading teamsOften in office or remote, focused on individual analysis tasks

The main difference between a Data Analysis Manager and a Data Analyst lies in scope and responsibilities. The manager oversees teams and strategic projects, while the analyst focuses on executing data analysis tasks. Both roles require strong analytical skills and relevant qualifications, but the manager's role emphasizes leadership and project management.

What are the most commonly searched types of Data Analysis jobs in Sandy, UT?

The most popular types of Data Analysis jobs in Sandy, UT are:

What are popular job titles related to Data Analysis Manager jobs in Sandy, UT?

For Data Analysis Manager jobs in Sandy, UT, the most frequently searched job titles are:

What job categories do people searching Data Analysis Manager jobs in Sandy, UT look for?

The top searched job categories for Data Analysis Manager jobs in Sandy, UT are:

What cities near Sandy, UT are hiring for Data Analysis Manager jobs?

Cities near Sandy, UT with the most Data Analysis Manager job openings:

Data Analysis Manager jobs near you
Infographic showing various Data Analysis Manager job openings in Sandy, UT as of August 2026, with employment types broken down into 85% Full Time, 14% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $84,295 per year, or $40.5 per hour.

Manager, Fraud Detection and Data Analytics

Fidelity Investments

Salt Lake City, UT • On-site

Full-time

Posted 16 days ago

Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 273 frontline employees who took The Breakroom Quiz

16th of 154 rated financial services

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.

What Fidelity Investments employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply