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Manager Data Analytics Engineer Jobs in Draper, UT

Gabb Wireless

Marketing Analytics Engineer

Lehi, UT · On-site

What You'll Do Analytics Engineering & Data Modeling * Own and extend our SQL data models ... Work with data from connected sources (ad platforms, CRM, ecommerce, subscription systems) and ...

ARUP

Senior Analytics Engineer

Salt Lake City, UT

$100K - $138K/yr

The Sr. Analytics Engineer is responsible for modeling our complex clinical and operational data ... Managers to understand the nuances of our laboratory operations to augment our data model for ...

Pwc

Data Engineer - Senior Manager

Salt Lake City, UT

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Neighbor

Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

... , executive team, managers, and individual contributors with the robust and trustworthy ... Standardize analytics workflows by integrating software engineering best practices, including ...

Neighbor

Data Engineer

Lehi, UT · On-site +1

$107K - $129K/yr

... , executive team, managers, and individual contributors with the robust and trustworthy ... Standardize analytics workflows by integrating software engineering best practices, including ...

Neighbor

Data Engineer

Lehi, UT · On-site +1

$107K - $129K/yr

... , executive team, managers, and individual contributors with the robust and trustworthy ... Standardize analytics workflows by integrating software engineering best practices, including ...

Pwc

Data Engineer - Manager

Salt Lake City, UT

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As a Data Engineer - Manager, you will play a pivotal role in transforming raw data ...

WesTech Engineering

Data Engineer

Salt Lake City, UT · On-site +1

$105K - $126K/yr

... for analytics engineering workflows. * Improve documentation standards for data lineage, business rules, and technical architecture. * Contribute to data governance and master data management ...

Pwc

Data Engineer - Senior Associate

Salt Lake City, UT

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

mophie

Director, Analytics

Midvale, UT · On-site

Direct and manage a small team of contractors: an Analytics Engineer responsible for data pipeline and infrastructure work, and a Tagging amp; Tracking Specialist responsible for implementation and ...

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Showing results 1-20

All JobsManager Data Analytics Engineer JobsManager Data Analytics Engineer Jobs in Draper, UT

Manager Data Analytics Engineer information

See Draper, UT salary details

$41.6K

$121.3K

$165.9K

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

As of Jun 22, 2026, the average yearly pay for manager data analytics engineer in Draper, UT is $121,265.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,000.00 and $128,500.00 per year, depending on experience, location, and employer.

What is the difference between Manager Data Analytics Engineer vs Data Analytics Engineer?

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

How does a Manager Data Analytics Engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

What are the key skills and qualifications needed to thrive as a Manager Data Analytics Engineer, and why are they important?

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

What is a Manager Data Analytics Engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.
What are popular job titles related to Manager Data Analytics Engineer jobs in Draper, UT? For Manager Data Analytics Engineer jobs in Draper, UT, the most frequently searched job titles are:
What job categories do people searching Manager Data Analytics Engineer jobs in Draper, UT look for? The top searched job categories for Manager Data Analytics Engineer jobs in Draper, UT are:
What cities near Draper, UT are hiring for Manager Data Analytics Engineer jobs? Cities near Draper, UT with the most Manager Data Analytics Engineer job openings:
Manager Data Analytics Engineer jobs near you
Infographic showing various Manager Data Analytics Engineer job openings in Draper, UT as of June 2026, with employment types broken down into 55% Full Time, 43% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $121,265 per year, or $58.3 per hour.
Marketing Analytics Engineer

Marketing Analytics Engineer

Gabb Wireless

Lehi, UT • On-site

Full-time

Retirement, PTO

Posted 6 days ago

Job description

At Gabb, we're on a mission to bring back the magic of childhood.
Think outdoor adventures and real connections! We create safe tech that lets kids be kids, even in a digital world. Why? Because families deserve to stay connected without sacrificing safety. Our team is full of optimistic folks who love a good challenge (and having fun!). Join us as we champion a fearless approach to safe tech and help build a brighter future for families everywhere.
Gabb gives families a better choice for their kids' first technology. Our product portfolio spans purpose-built hardware - Gabb Phones and Gabb Watches - alongside digital services including Gabb Music and Music+. Everything we build is designed to let families introduce technology in steps, giving kids connection without the harms of a fully open smartphone. We're a fast-growing, mission-driven company headquartered in Lehi, Utah, with a team that genuinely loves what we do and why we do it.
About the Role
Gabb is looking for an analytically sharp, technically fluent Marketing Analytics Engineer to sit at the intersection of data engineering and marketing measurement. 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 business and financial reporting.
You will report to the Director of Analytics and work closely with the marketing team, owning everything from data modeling and pipeline maintenance to interpreting A/B tests, building dashboards, and surfacing what's actually driving growth. This is not a role where requirements get handed to you - you own marketing analytics and are expected to identify what needs to be built, prioritize it, and execute.
What You'll Do
Analytics Engineering & Data Modeling
  • Own and extend our SQL data models (primarily dbt) for marketing and business reporting, maintaining clean, well-documented, test-covered code.
  • Work with data from connected sources (ad platforms, CRM, ecommerce, subscription systems) and model them into reliable reporting layers.
  • Build and maintain data pipelines that surface clean, trustworthy data to dashboards and downstream analyses.
  • Collaborate with the Director of Analytics on schema design, naming conventions, and modeling best practices across the full analytics stack.
  • Support general business and financial reporting alongside marketing-specific work.

Marketing Analytics & Measurement
  • Build and maintain dashboards and reports covering core marketing KPIs: site traffic, conversion rates, funnel performance, channel-level CAC, LTV, and cohort behavior.
  • Serve as the internal analytics owner for site visit and conversion reporting, A/B test analysis and interpretation, and attribution monitoring.
  • Understand and work with outputs from multi-touch attribution (MTA), media mix modeling (MMM), and incrementality testing - you know how these models work, what assumptions they make, and how to pressure-test and communicate the results.
  • Partner with the growth team to turn data into actionable recommendations, and translate technical findings for non-technical stakeholders.
  • Instrument tracking and ensure measurement infrastructure (GA4, ad platform pixels, event tracking) is accurate and well-governed.

Dashboard Design & Reporting
  • Design and build dashboards (likely in Looker, Tableau, or a similar BI tool) that are clear, reliable, and actually used by the teams they serve.
  • Establish and own reporting cadences for the marketing team; proactively identify gaps and build the infrastructure before someone has to ask for it.
  • Maintain and improve existing reporting infrastructure; deprecate what isn't being used.

What We're Looking For
Experience & Skills
  • 2-4 years of experience in analytics engineering, marketing analytics, or a closely related data role.
  • Strong SQL skills - this is the core of the job; you're comfortable with complex queries, window functions, CTEs, and performance considerations.
  • Hands-on experience with dbt (or a strong willingness to learn quickly) and modern data warehouse environments (Snowflake, BigQuery, Redshift, or similar).
  • Familiarity with EL tooling and comfort working with raw source data from ad platforms, CRMs, or ecommerce systems.
  • Working knowledge of marketing analytics concepts: attribution models, conversion funnels, CAC/LTV, cohort analysis, A/B test interpretation, and incrementality - you understand what these measure and where they break down.
  • Experience building dashboards in a BI tool (Looker, Tableau, Mode, Metabase, or equivalent).
  • Comfortable with GA4 and at least one ad platform's data (Google Ads, Meta, etc.).
  • Ability to communicate analytical findings clearly to marketers and business stakeholders who don't live in SQL.
  • Practical familiarity with AI-assisted development - comfortable using AI to generate scripts, queries, and tooling while applying the judgment to validate outputs rather than trust them blindly. In analytics engineering, AI is a force multiplier, not a source of truth.
  • Bonus: familiarity with Python (pandas, scripting); prior work at a direct-to-consumer, ecommerce, or subscription consumer brand; prior exposure to MMM or MTA modeling and knowledge of their limitations; experience working alongside or managing an external analytics vendor.

Who You Are
  • Rigorous about data quality - you catch inconsistencies before they reach a dashboard and you build in tests so others don't have to.
  • A strong communicator who can explain what a number means and why it matters, not just what it is.
  • Highly self-directed - you define your own priorities, build the roadmap, and drive it forward; you surface problems proactively and don't wait to be told what needs to exist.
  • Curious about marketing and business performance, not just data infrastructure.
  • A collaborative team player who can operate across both a technical analytics team and a business-facing marketing team.

$90,000 - $115,000 a year
While we value talent from everywhere, we are currently limited to hiring employees who reside in Utah. We appreciate your understanding.
Why You'll Love Gabb
Mission driven to protect kids and make a difference in the world
Work-life balance with generous PTO, hybrid schedules, and more
Generously covered insurance premiums (up to 100% based on tenure)
Stock options and 401(k) plan with employer match
Fast-paced startup environment with room for career growth
Energetic and collaborative company culture (plus the coolest coworkers around)
Pet insurance to keep your furry friend happy and healthy
Get paid to give your time to the community
Everyone's Welcome Here
Gabb is an equal opportunity employer committed to a diverse and inclusive workplace. We welcome and encourage applications from all qualified individuals, regardless of background or identity. All applicants will be considered for employment without regard to race, color, religion, sex, disability status, protected veteran status, sexual orientation, pregnancy, or any other protected characteristic.

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