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Analytics Jobs in Sandy, UT (NOW HIRING)

Podium

Analytics Engineer

Lehi, UT · Hybrid

Analytics Engineer This role will build out foundational agentic data tooling to support sales analytics and operations. As an Analytics Engineer at Podium you will be responsible for the ...

Podium

Analytics Engineer

Lehi, UT · On-site

Analytics Engineer This role will build out foundational agentic data tooling to support sales analytics and operations. As an Analytics Engineer at Podium you will be responsible for the ...

Gabb Wireless

Marketing Analytics Engineer

Lehi, UT · On-site

$90K - $115K/yr

This role owns the analytics infrastructure and insight delivery for our marketing and growth teams -- building in-house capability as the function scales -- while also contributing to company-wide ...

Gabb Wireless

Marketing Analytics Engineer

Lehi, UT · On-site

This role owns the analytics infrastructure and insight delivery for our marketing and growth teams - building in-house capability as the function scales - while also contributing to company-wide ...

Varsity Tutors

Business Analytics Tutor

Provo, UT · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Business Analytics tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

Gabb Wireless

Marketing Analytics Engineer

Lehi, UT · On-site

This role owns the analytics infrastructure and insight delivery for our marketing and growth teams - building in-house capability as the function scales - while also contributing to company-wide ...

MX Technologies, Inc.

Senior Analytics Engineer

Lehi, UT · On-site

$98K - $134K/yr

Job Summary As a Senior Analytics Engineer within the Operational Analytics department, you'll play a key role in transforming complex, raw data into reliable and performant data products that power ...

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All JobsAnalytics JobsAnalytics Jobs in Sandy, UT

Analytics information

See Sandy, UT salary details

$61.3K

$119.1K

$170.1K

How much do analytics jobs pay per year?

As of Jul 16, 2026, the average yearly pay for analytics in Sandy, UT is $119,092.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,000.00 and $141,600.00 per year, depending on experience, location, and employer.

What is analytics and what do analytics professionals do?

Analytics refers to the systematic computational analysis of data or statistics to discover, interpret, and communicate meaningful patterns and trends. Analytics professionals collect, process, and analyze data to help organizations make informed decisions, solve problems, and optimize performance. They may use statistical methods, data visualization, and predictive modeling in various industries such as business, healthcare, finance, and technology. Their work often involves working with large datasets, using specialized software tools, and translating complex findings into actionable insights for decision-makers.

Is data analytics well paid?

Data analytics is generally a well-paid field, with salaries often higher than average for entry-level roles and increasing with experience, skills, and certifications in tools like SQL, Python, or Tableau. Compensation varies by industry, location, and company size, but overall, data analysts and related roles tend to offer competitive salaries.

What are the 4 types of data analyst?

Data analysts can be categorized into four main types based on their focus: business analysts, who interpret data to inform business decisions; operations analysts, who optimize processes; financial analysts, who analyze financial data; and marketing analysts, who evaluate marketing campaigns and customer data. Each type requires specific skills and tools, such as SQL, Excel, and data visualization software, to perform their roles effectively.

How do analytics professionals typically collaborate with other departments to drive business decisions?

Analytics professionals often work closely with departments like marketing, product development, finance, and operations to translate data insights into actionable strategies. They may attend cross-functional meetings, present findings, and help define metrics for success. Collaboration is key, as analytics teams must understand each department’s goals and challenges to provide relevant, impactful analysis. Strong communication skills are essential to ensure data-driven recommendations are clearly understood and implemented by non-technical stakeholders.

What are the key skills and qualifications needed to thrive in Analytics, and why are they important?

To thrive in Analytics, you need strong quantitative skills, proficiency in data analysis, and typically a degree in statistics, mathematics, computer science, or a related field. Familiarity with tools such as SQL, Python or R, and data visualization platforms like Tableau or Power BI—as well as relevant certifications—are commonly required. Critical thinking, attention to detail, and effective communication help translate complex data insights into actionable business strategies. These skills are crucial for extracting meaningful information from data, driving informed decisions, and delivering measurable value to organizations.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, providing insights, and making strategic decisions. The role is evolving to include skills in machine learning, data visualization, and domain expertise, making human judgment still vital in the analytics field.

What is the difference between Analytics vs Data Analyst?

AspectAnalyticsData Analyst
Required CredentialsDegree in statistics, mathematics, or related field; certifications like Google Data AnalyticsDegree in data science, statistics, or related; similar certifications
Work EnvironmentBusiness intelligence teams, data departments, consulting firmsCorporate, finance, marketing, or healthcare organizations
Employer & Industry UsageUsed across industries for strategic insightsCommonly employed for data interpretation and reporting
Search & Comparison IntentUnderstanding roles, skills, and career paths in analyticsClarifying job responsibilities and skills of data analysts

Analytics and Data Analysts often work closely but focus on different aspects. Analytics involves broader strategic analysis and decision-making, while Data Analysts focus on interpreting data and creating reports. Both roles require similar skills and credentials, but their scope and responsibilities differ based on organizational needs.

Is 40 too late for data science?

The analytics field, including data science, values skills and experience over age; many professionals transition into data science later in their careers. Gaining proficiency in programming languages like Python or R, along with statistical knowledge and relevant certifications, can help late entrants succeed. Age is less a barrier than acquiring the necessary technical skills and building a strong portfolio.
What are the most commonly searched types of Analytics jobs in Sandy, UT? The most popular types of Analytics jobs in Sandy, UT are:
What are popular job titles related to Analytics jobs in Sandy, UT? For Analytics jobs in Sandy, UT, the most frequently searched job titles are:
What job categories do people searching Analytics jobs in Sandy, UT look for? The top searched job categories for Analytics jobs in Sandy, UT are:
What cities near Sandy, UT are hiring for Analytics jobs? Cities near Sandy, UT with the most Analytics job openings:
Analytics jobs near you
Analytics Engineer

Analytics Engineer

Podium

Lehi, UT • Hybrid

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Job description

Analytics Engineer

This role will build out foundational agentic data tooling to support sales analytics and operations. As an Analytics Engineer at Podium you will be responsible for the infrastructure that supports all analytics projects, dashboards, reports, and models. Your direct stakeholders will be the internal Sales Operations and Analytics team but you will also work cross-functionally with talented Software Engineers, Data Engineers, and Data Scientists. The core responsibilities require you to create new data models and data agents on Snowflake. This role is a balance between a Data Analyst and a Data Engineer. You should be equally comfortable and excited about coding and modeling as you are about mentoring, training, and empowering a team of Analysts and Data Scientists. 

What you will be doing:

  • Design and implement a semantic data warehouse layer on top of our datalake using Snowflake and dbt
  • Architect scalable data solutions that empower all of Podium to work with data through agentic processes more easily and efficiently
  • Write documentation for best practices and to record Podium's data
  • Follow best practices around version control and mentor Data Analysts and Data Scientists on version control

What you should have:

  • 3+ years of work experience with SQL and experience with multiple flavors, Snowflake preferred
  • 2+ years of work experience with Python
  • 2+ years of work experience using Git for version control
  • Experience using dbt and Snowflake is desirable
  • Demonstrated knowledge of how agents interact with data and how to build secure, scalable data interfaces for humans and AI
  • Strong drive to organize and document data in a reproducible manner
  • Ability to understand the business logic for structuring data in a given way while also understanding and overcoming the technical limitations and challenges of implementing the desired data structure
  • Eagerness to work on development of internal tools, systems, packages, process, and documentation
  • You have a proven record of providing analyses that have tangible impact on the business
  • Degree in Computer Science, Math, Statistics, Engineering, Economics, Information Systems, or hands on job experience with data science or analytics
  • You are committed to honesty and a diverse and inclusive workplace

What we hope you have:

  • Experience supporting Sales operations and GTM teams

Why you'll love working here:

  • Podium is the best place to work to:
    • Join the leaders in AI agents
    • Unlock career-defining growth
    • Build with world-class talent
    • Make a real impact on local business

Benefits

  • (If local to Utah) Work in this building in Lehi, UT 5 days a week
  • Open and transparent culture 
  • Life insurance, long and short-term disability coverage
  • Paid maternity and paternity leave
  • Fertility Benefits
  • Generous vacation time, plus three 4-day summer holiday weekends
  • Excellent medical, dental, and vision benefits
  • 401k Plan
  • Bi-annual swag drops with cool Podium gear and apparel 
  • A stellar HQ (Utah) gym with local professional coaches and classes offered
  • Onsite HQ (Utah) child care center, subsidized for employees

Podium is an equal opportunity employer. Podium provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, national origin, sexual orientation, gender identity or expression, age, disability, genetic information, marital status or veteran status.

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