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Executive Data Science Jobs in Utah (NOW HIRING)

Young Living Essential Oils

Data Analyst

Lehi, UT · On-site

This mid-level role collaborates across departments, develops executive-ready reports and ... Bachelor's degree in Business, Statistics, Computer Science, Information Technology, Engineering ...

Outsmart

Senior Learning Designer, Science

Lehi, UT · On-site

$100K - $170K/yr

... executives and a founding team that also includes Emmy Award winners. With a strong culture ... As an AI-native company, you'll also shape how AI tools and data insights are woven into curriculum ...

Young Living Essential Oils

Data Analyst

Lehi, UT · On-site

$70 - $90/hr

This mid-level role collaborates across departments, develops executive-ready reports and ... Bachelor's degree in Business, Statistics, Computer Science, Information Technology, Engineering ...

Young Living Essential Oils

Data Analyst

Lehi, UT · On-site

This mid-level role collaborates across departments, develops executive-ready reports and ... Bachelor's degree in Business, Statistics, Computer Science, Information Technology, Engineering ...

Pattern

Technical Product Manager, AI

Lehi, UT

$156K - $181K/yr

In this role, you will collaborate closely with Software Engineers, Data Scientists, and Senior Product Managers as well as other departments including Engineering, Executive Leadership, Strategy ...

Pattern

Technical Product Manager, AI

Lehi, UT · On-site

$156K - $181K/yr

In this role, you will collaborate closely with Software Engineers, Data Scientists, and Senior Product Managers as well as other departments including Engineering, Executive Leadership, Strategy ...

Pattern

Technical Product Manager, AI

Lehi, UT · On-site

$156K - $181K/yr

In this role, you will collaborate closely with Software Engineers, Data Scientists, and Senior Product Managers as well as other departments including Engineering, Executive Leadership, Strategy ...

New

Exiger

Forward Deployed Engineer

South Ogden, UT · On-site

You will operate at the intersection of engineering, data science, and mission delivery - embedded ... and executive-level briefings. You will not just build models - you will ensure they function ...

Pwc

Payer Quality Consultant, Director

Salt Lake City, UT · On-site

$155K - $410K/yr

Accounting, Actuarial Science, Analytics/Data Science, Business Administration/Management, Computer ... executive-level client relations and stakeholder engagement - Promoting operational excellence ...

Snowflake

Solutions Architect

Salt Lake City, UT · On-site

$120 - $170/hr

Snowflake , Netezza, Exadata, Teradata, Greenplum, etc.) along with data science/AI/ML use cases ... through C‑suite executives. BONUS POINTS FOR THE FOLLOWING : * Big 5 Consulting experience.

Circle

Director, USDC Application Product

Salt Lake City, UT · On-site +1

$225K - $236K/yr

Partner with Marketing and Data Science on attribution, referral/viral mechanics, and paid/organic ... Define the North Star metric and supporting KPIs, and report progress to executive leadership What ...

Pattern

Senior Ecommerce Sales Engineer

Lehi, UT · On-site

Working across sales, ads, data science, brand mgmt, finance, and other teams to drive strategies ... Present business cases to potential accounts (executive teams). * Serve as an expert on all things ...

Pattern

Senior Ecommerce Sales Engineer

Lehi, UT · On-site

Working across sales, ads, data science, brand mgmt, finance, and other teams to drive strategies ... Present business cases to potential accounts (executive teams). * Serve as an expert on all things ...

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All JobsData Science JobsExecutive Data Science JobsExecutive Data Science Jobs in Utah

Executive Data Science information

What is executive data science?

Executive Data Science refers to the leadership and management of data science initiatives within an organization. Professionals in this role are responsible for setting the strategic direction for data-driven projects, overseeing data teams, and ensuring that data science efforts align with business goals. They bridge the gap between technical teams and executives, translating analytical insights into actionable business strategies. Typically, Executive Data Scientists have a blend of technical expertise and strong business acumen, enabling them to make high-level decisions that impact the organization’s growth and innovation.

What skills and qualifications are needed to thrive as an executive data scientist?

To thrive as an Executive Data Scientist, you need deep expertise in statistics, machine learning, and data analysis, typically supported by an advanced degree in a quantitative field. Proficiency with data platforms (such as SQL, Hadoop, or Spark), programming languages (like Python or R), and familiarity with data visualization tools is essential, along with certifications like Certified Analytics Professional (CAP) being advantageous. Strategic vision, leadership, and the ability to communicate complex insights to non-technical stakeholders are vital soft skills. These competencies drive effective data-driven decision-making and ensure alignment between analytics initiatives and business objectives.

How does an executive data scientist typically collaborate with other departments to drive data-driven decision making?

Executive Data Scientists frequently work cross-functionally with departments such as marketing, product, finance, and operations to identify key business challenges and opportunities where data can provide strategic insights. They lead or advise interdisciplinary teams, translate complex analytics into actionable recommendations, and often present findings to senior leadership or stakeholders. Building strong relationships and understanding business objectives are crucial, as these collaborations enable the alignment of data science initiatives with organizational goals.

What is the difference between Executive Data Science vs Data Scientist?

AspectExecutive Data ScienceData Scientist
CredentialsAdvanced degrees (Master's/PhD), leadership experienceBachelor's or Master's in Data Science, Computer Science, or related fields
Work EnvironmentStrategic, leadership-focused, often in executive officesHands-on data analysis, modeling, coding in technical teams
Employer & Industry UsageSenior roles in tech, finance, consulting, and large organizationsTech companies, startups, research institutions, various industries

Executive Data Science roles focus on strategic decision-making, leadership, and overseeing data initiatives, while Data Scientists are primarily involved in technical data analysis and modeling. Both roles require strong analytical skills, but Executive Data Scientists combine technical expertise with leadership responsibilities.

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

The most popular types of Data Science jobs in Utah are:

What are popular job titles related to Executive Data Science jobs in Utah?

For Executive Data Science jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Executive Data Science jobs in Utah look for?

The top searched job categories for Executive Data Science jobs in Utah are:

What cities in Utah are hiring for Executive Data Science jobs?

Cities in Utah with the most Executive Data Science job openings:

Executive Data Science jobs near you

Data Analyst

Young Living Essential Oils

Lehi, UT • On-site

Full-time

Posted 16 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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