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

Young Living Essential Oils

Data Analyst

Lehi, UT · On-site

Provide analysis supporting campaigns, events, and initiatives. * Execute analytic projects to ... Present findings to upper management using well-structured reports and visuals. * Provide ...

Young Living Essential Oils

Data Analyst

Lehi, UT · On-site

Provide analysis supporting campaigns, events, and initiatives.  * Execute analytic projects to ... Present findings to upper management using well-structured reports and visuals. * Provide ...

Raytheon

Principal Analyst Data Manager

Provo, UT

We are hiring a Principal Analyst Data Manager to work onsite in Tucson, Arizona. What You Will Do * Identifies all data deliverables made part of a contract * Builds a data track in a Product Data ...

Overstock

Data Analyst - IC 2

Salt Lake City, UT

... data analysis findings to executive leadership. Education Bachelor's degree (or U.S. equivalent in Economics, Statistics, Business, Information Systems, Mathematics, Supply Chain Management, or ...

L3HHCM20

Lead, Data Architect

Salt Lake City, UT

The ideal candidate will have experience supporting analytics, AI/ML, and data solution initiatives ... Manage project timelines, resources, and deliverables to ensure the timely and successful ...

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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

$136.8K

How much do data analysis manager jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data analysis manager in Sandy, UT is $84,254.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,700.00 and $103,100.00 per year, depending on experience, location, and employer.

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 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 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 1% As Needed, 83% Full Time, 15% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $84,254 per year, or $40.5 per hour.

Data Analyst

Young Living Essential Oils

Lehi, UT • On-site

Full-time

Posted 10 days ago

Job description

Summary:
The Data Analyst independently analyzes diverse data sets to identify trends, deliver insights, and guide strategic business decisions. This mid-level role collaborates across departments, develops executive-ready reports and dashboards, and plays a key role in interpreting key performance indicators (KPIs) to influence business outcomes.
Essential Functions:
  • Analyze structured and unstructured data using Excel and SQL to support decisions across marketing, sales, and operations.Create presentations, graphics, and reports summarizing key insights.
  • Understand and apply knowledge of company metrics, sales drivers, and KPIs.
  • Provide analysis supporting campaigns, events, and initiatives.
  • Execute analytic projects to support company growth and retention strategies.
  • Support data quality efforts by flagging inconsistencies and helping document known issues.
  • Conduct moderately complex analyses such as correlation, trend forecasting, and variance analysis to inform strategy.
  • Design, build, and maintain recurring dashboards or self-service tools using BI platforms.
  • Extract, transform, validate, and analyze data from multiple systems to ensure consistency and usability. Present findings to upper management using well-structured reports and visuals.
  • Provide actionable insights related to company KPIs, trends, and initiatives.
  • Collaborate across departments to support strategic data needs.
  • Develop tools to facilitate business users' own analysis through AI tools

Skills & Qualifications:
  • Proficiency in Excel and intermediate SQL.
  • Strong critical thinking and problem-solving skills.
  • Experience with business intelligence tools and dashboards.
  • Strong presentation and storytelling abilities.
  • Knowledge of sales and marketing metrics and their influence on business outcomes.
  • Experience with agentic AI tools

Required Education and Experience:
  • 3-5 years of experience in business analytics or a related quantitative role.
  • A combination of education and experience may meet this requirement.

Preferred Education and Experience:
  • Bachelor's degree in Business, Statistics, Computer Science, Information Technology, Engineering, Accounting, or related field.

Supervisory Responsibility:
This job does not have supervisory responsibilities.
Work Environment:
This job operates in a professional office environment. The role routinely uses standard office equipment such as a laptop, desktop, smartphone, and photocopiers. The noise level in the work environment is usually moderate. Essential oils are worn and/or diffused in the work environment.
Position Type/Expected Hours of Work:
This position requires the incumbent to be physically present at the assigned worksite. The regular schedule is from 8 a.m. to 5 p.m., with an hour lunch, Monday through Friday. Occasional evening and weekend work may be required as job duties demand. Employees are also expected to work at least one non-convention farm event a year and to work at the annual company convention.
Exact hour requirements can be reasonably modified as necessary for the business needs by the employee's manager.
Physical Demands:
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Specific vision abilities of this job include close vision and the ability to adjust focus. The employee is required to type, file, and occasionally lift office supplies up to 20 pounds. The employee must be physically able to tolerate the scent of essential oils worn or diffused.
Equal Employment Opportunity:
Young Living is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, or protected veteran status and will not be discriminated against on the basis of disability.
Sponsorship:
Young Living does not provide visa sponsorship for this position. Applicants must be currently authorized to work in the United States on a full-time basis.
Note:
This job description is not intended to be all-inclusive. Employees may perform other related duties as needed to meet the ongoing needs of the organization.

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