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Senior Data Analytics Engineer Jobs in Provo, UT

We are seeking a Senior Analytics Engineer to play a key role in advancing Trove Brands' analytics ... This individual will help drive data governance, data quality, and scalable analytics solutions ...

New

Data analysis and report development, including high visibility, cross-departmental dashboards. * Data modeling and ETL development, ensuring accurate and quality data for Trove reporting needs.

New

Role Summary We are seeking a strong Analytics Engineer to join our Data Strategy and Architecture team. This role will help design, build, validate, and maintain trusted analytical data assets that ...

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 ...

Sr. Data Engineer

Draper, UT · Hybrid

$107K - $128K/yr

Essential Job Duties As a Senior Data Engineer, you will play a key role in designing, building ... Collaborate with data analysts, data scientists, ML engineers, business stakeholders, and AI ...

Verisk is seeking an Analytics Engineer to help build the trusted data foundation that powers smarter decisions across the insurance ecosystem. In this role, you will partner with product ...

Sr Data Solution Engineer

Lehi, UT · On-site

$51.75 - $67/hr

This senior individual contributor role requires deep data engineering expertise and strong product ... You will partner with business collaborators, analysts, program leaders, architects, and engineers ...

Sr Data Solution Engineer

Lehi, UT · On-site

$51.75 - $67/hr

This senior individual contributor role requires deep data engineering expertise and strong product ... You will partner with business collaborators, analysts, program leaders, architects, and engineers ...

Senior Data Scientist

Lehi, UT · On-site

$107K - $183K/yr

As a Senior Data Scientist, you will collaborate with cross-functional stakeholders to identify ... and advanced analytics tools; proficient in multiple data-related programming languages

As a Senior Data Scientist, you will collaborate with cross-functional stakeholders to identify ... and advanced analytics tools; proficient in multiple data-related programming languages

Senior Data Engineer

American Fork, UT

$94K - $128K/yr

ABOUT THIS ROLE As Senior Data Engineer, you will own and evolve LVT's core data platform ... power reporting, analytics, and business decisions at scale. This is a high-impact individual ...

Sr. Data Scientist

Provo, UT · On-site

$118K - $154K/yr

... 59pm MST. ** Sr. Data Scientist The Sr. Data Scientist supports institutional research and ... Proficiency in Python, SQL, R, or similar statistical programming languages * Strong analytical ...

Senior Data Engineer

Lehi, UT · On-site

$99K - $135K/yr

As a Senior Data Engineer, you will be a high-impact "Game Changer" responsible for architecting ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Senior Data Engineer

Lehi, UT

$99K - $135K/yr

As a Senior Data Engineer, you will be a high-impact "Game Changer" responsible for architecting ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

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Showing results 1-20

Senior Data Analytics Engineer information

See Provo, UT salary details

$76.6K

$119.5K

$165.5K

How much do senior data analytics engineer jobs pay per year?

As of Aug 5, 2026, the average yearly pay for senior data analytics engineer in Provo, UT is $119,502.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,300.00 and $136,200.00 per year, depending on experience, location, and employer.

What is the difference between Senior Data Analytics Engineer vs Data Scientist?

AspectSenior Data Analytics EngineerData Scientist
CredentialsBachelor's/Master's in Data Science, Computer Science, or related fieldsBachelor's/Master's in Data Science, Statistics, or related fields
Work EnvironmentFocus on data pipelines, analytics tools, and reporting systemsFocus on model development, statistical analysis, and predictive modeling
Industry UsageUsed in analytics teams to build data infrastructure and insightsUsed in R&D, product development, and research teams for modeling

While both roles require strong analytical skills and similar educational backgrounds, Senior Data Analytics Engineers primarily focus on building and maintaining data infrastructure and delivering insights through analytics tools. Data Scientists, on the other hand, concentrate on developing predictive models and statistical analysis. The roles often collaborate but serve different functions within data-driven organizations.

How does a senior data analytics engineer typically collaborate with cross-functional teams to deliver insights?

As a Senior Data Analytics Engineer, you will frequently work with stakeholders in product, marketing, and engineering to translate business needs into data solutions. This involves gathering requirements, designing and building data pipelines, and presenting actionable insights. Effective communication and regular meetings with team members ensure that data models and dashboards align with business objectives. You may also mentor junior analysts and engineers, fostering a collaborative and knowledge-sharing environment.

What does a senior data analytics engineer do?

A Senior Data Analytics Engineer is responsible for designing, developing, and maintaining scalable data pipelines and analytical solutions. They work closely with data scientists, analysts, and business stakeholders to gather requirements and ensure data quality and availability. Their role often includes optimizing data workflows, implementing best practices in data management, and mentoring junior team members. Additionally, they help translate business needs into technical solutions to support data-driven decision making.

What are the key skills and qualifications needed to thrive as a senior data analytics engineer, and why are they important?

To thrive as a Senior Data Analytics Engineer, you need expertise in statistics, data modeling, and programming languages such as Python or SQL, typically backed by a degree in computer science, engineering, or a related field. Experience with data analytics tools (e.g., Tableau, Power BI), cloud platforms (e.g., AWS, Azure), and relevant certifications like Google Data Engineer are highly valued. Strong problem-solving, communication, and leadership skills help you translate complex data insights into actionable business strategies and mentor junior team members. These capabilities are crucial for delivering accurate data-driven solutions that drive organizational decision-making and innovation.
What are the most commonly searched types of Data Analytics Engineer jobs in Provo, UT? The most popular types of Data Analytics Engineer jobs in Provo, UT are:
What are popular job titles related to Senior Data Analytics Engineer jobs in Provo, UT? For Senior Data Analytics Engineer jobs in Provo, UT, the most frequently searched job titles are:
What job categories do people searching Senior Data Analytics Engineer jobs in Provo, UT look for? The top searched job categories for Senior Data Analytics Engineer jobs in Provo, UT are:
What cities near Provo, UT are hiring for Senior Data Analytics Engineer jobs? Cities near Provo, UT with the most Senior Data Analytics Engineer job openings:
Infographic showing various Senior Data Analytics Engineer job openings in Provo, UT as of July 2026, with employment types broken down into 89% Full Time, 9% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $119,502 per year, or $57.5 per hour.

Other

Posted 2 days ago

New


Trove Brands rating

8.2

Company rating: 8.2 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description

We are seeking a Senior Analytics Engineer to play a key role in advancing Trove Brands' analytics and data strategy. This individual will help drive data governance, data quality, and scalable analytics solutions while serving as a cross-functional data champion across the organization.

Responsibilities:

  • Provide recommendations to enhance the company's Analytics strategy, including adoption of new tools & processes.
  • Help develop, implement, and maintain best practices for data governance and data quality.
  • Provide training and mentorship for Analytics Engineers & Analysts throughout the company.
  • Data analysis and report development, including high visibility, cross-departmental dashboards.
  • Data modeling and ETL development, ensuring accurate and quality data for Trove reporting needs.
  • Become a data champion, forging connections between departments and business processes to steer data-driven improvements at an organizational level.
  • Communicate recommendations for change based on personal analysis and investigated trends.

 

Requirements:

  • Advanced SQL experience, including expertise querying, optimizing, cleaning, and validating large volumes of data.
  • Data modeling & data warehouse development experience, particularly with modern cloud-based technologies (Snowflake preferred).
  • Solid programming skills with Python or other programming languages.
  • Experience with GitLab or other version control system.
  • Experience with Airflow or other orchestration platforms.
  • Experience working with modern AI tools (Claude Code, Cursor, etc.)
  • Ability to create compelling and easy to understand data visualizations.
  • Proven ability to implement and maintain complex BI solutions.
  • Proactive work ethic and ability to work in a highly collaborative environment.
  • Fast learner who can gain a deep understanding of business processes and solve problems quickly with minimal supervision.
  • Prior analytics experience in any of the following areas is a plus - ERP (Acumatica preferred), Finance, Supply Chain, Sales, or Marketing.
  • Experience with predictive analytics is a plus.
  • Highly proficient with Microsoft Office suite.
  • Strong written and oral communication skills, including the ability to clearly explain technical details to a non-technical audience.
  • Exhibit professionalism while dealing with customers and coworkers, including with confidentiality.

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