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Manager Data Analytics Engineer Jobs in Utah (NOW HIRING)

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 ... Manage and document data definitions, lineage, and transformations using GitLab or similar tools.

otg

Senior Manager Data Engineering

Riverton, UT · On-site +1

$125K - $150K/yr

The Senior Manager, Data Engineering will play a critical role in revitalizing OTG's data analytics platform and strategy , transforming how data is leveraged across operations, finance, and guest ...

otg

Senior Manager Data Engineering

Riverton, UT · On-site +1

$125K - $150K/yr

The Senior Manager, Data Engineering will play a critical role in revitalizing OTG's data analytics platform and strategy , transforming how data is leveraged across operations, finance, and guest ...

Gabb Wireless

Marketing Analytics Engineer

Lehi, UT

$90K - $115K/yr

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 ...

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 ...

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 · On-site

$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

$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

$107K - $129K/yr

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

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All JobsData Analytics Engineer JobsManager Data Analytics Engineer JobsManager Data Analytics Engineer Jobs in Utah

Manager Data Analytics Engineer information

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 the most commonly searched types of Data Analytics Engineer jobs in Utah? The most popular types of Data Analytics Engineer jobs in Utah are:
What are popular job titles related to Manager Data Analytics Engineer jobs in Utah? For Manager Data Analytics Engineer jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Manager Data Analytics Engineer jobs in Utah look for? The top searched job categories for Manager Data Analytics Engineer jobs in Utah are:
What cities in Utah are hiring for Manager Data Analytics Engineer jobs? Cities in Utah with the most Manager Data Analytics Engineer job openings:
Manager Data Analytics Engineer jobs near you
Senior Analytics Engineer

Senior Analytics Engineer

MX Technologies, Inc.

Lehi, UT • On-site

$98K - $134K/yr

Full-time

Re-posted 21 days ago

Job description

MX is a fintech company on a mission to empower the world to be financially strong. We build technology that helps banks, credit unions, and fintechs deliver smarter, more intuitive financial experiences to millions of people.
Like many startups, we've navigated real growth challenges - and we've come out stronger on the other side. Today, MX is in a phase ofrenewed momentum and scale, with a solid foundation and a clear vision for what's next. This is a place where thoughtful execution matters, innovation is encouraged, and individuals have real ownership over their work.
Our culture values curiosity, accountability, and impact. We give people the space to question assumptions, design better solutions, and help shape how the company grows. If you're looking to do meaningful work, influence outcomes, and grow alongside a company that's ready to move fast, you'll feel at home at MX.
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 insights across MX. You'll combine deep technical expertise in SQL, data modeling, and cloud-based data warehouses (such as Google BigQuery) with a strong sense of data stewardship, ensuring accuracy, accessibility, and trust in the analytics that drive business and product decisions.
This role is ideal for a data professional who thrives at the intersection of engineering and analytics-someone who can architect and maintain scalable data models, enforce high standards for data quality, and collaborate closely with cross-functional partners to enable data-driven decisions. As a trusted internal expert, you'll lead by example through mentorship, documentation, and process innovation, helping elevate data practices across the organization.
Job Duties
  • Data Stewardship:
    Design, build, and maintain data pipelines and models that transform raw data into reliable, production-ready datasets. Manage and document data definitions, lineage, and transformations using GitLab or similar tools.
  • Data Quality and Governance:
    Establish and monitor data quality tests to ensure completeness, accuracy, and consistency. Partner with business stakeholders, IT, and data engineering teams to define and enforce governance standards.
  • Data Accessibility and Democratization:
    Develop intuitive, business-friendly data models and assets optimized for analytics. Ensure the right data is available to the right people at the right time, empowering self-service analytics and operational reporting.
  • Feature Store and Data Product Development:
    Curate and maintain high-value datasets and features in the Feature Store to support analytical and machine learning use cases. Track usage metrics and continually optimize for performance and impact.
  • Collaboration and Mentorship:
    Partner cross-functionally with analysts, engineers, and product teams to define data requirements, identify opportunities for process improvements, and align on strategic priorities. Provide mentorship and technical guidance to junior team members.
  • Continuous Improvement:
    Stay current with emerging technologies, tools, and trends in analytics engineering, cloud computing, and data governance. Lead or contribute to initiatives that improve scalability, efficiency, and reliability of MX's data ecosystem.

Requirements
  • Education:
    Bachelor's degree required, preferably in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative discipline.
  • Experience:
    Minimum 5 years of experience in analytics engineering, data engineering, or business intelligence roles, with a proven track record of designing and delivering reliable, high-performance data products at scale.
  • Technical Skills:
    • Expert-level SQL proficiency (including advanced window functions, CTEs, subqueries, and query optimization).
    • Strong understanding of dimensional modeling, star/snowflake schemas, and SCD management.
    • Proficiency with cloud data warehouses (Google BigQuery preferred; Snowflake, Redshift, or Databricks acceptable).
    • Familiarity with programming languages such as Python for workflow automation and data quality checks.
    • Experience with modern data versioning and collaboration tools (Git, CI/CD pipelines).
    • Understanding of data governance, lineage, and cataloging tools (e.g., dbt, Dataform, or equivalent).
  • Professional Skills:
    • Proven ability to collaborate cross-functionally and communicate complex data concepts to non-technical audiences.
    • Strong analytical and problem-solving skills, with keen attention to detail and system-level thinking.
    • Demonstrated adaptability and perseverance in fast-paced, evolving environments.
    • Commitment to quality, transparency, and building trust through reliable data products.
    • Track record of mentoring peers and contributing to the growth of data capabilities within an organization.

At MX, we are a high-performance organization that thrives on trust and results. This role is based in Lehi, Utah. We believe in empowering our team members to deliver exceptional outcomes while taking advantage of our incredible office space when it best supports their work. Our Utah office features onsite perks such as company-paid meals, a sports simulator, gym, mother's lounge, and meditation room and meaningful interactions with amazing people. We encourage team members to come together in the office to collaborate, kick off key projects, or strategize cross-functionally, fostering connection and innovation.
MX is proudly committed to recruiting and retaining a diverse and inclusive workforce. As an Equal Opportunity Employer, we never discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, military or veteran status, status as an individual with a disability, or other applicable legally protected characteristics. We particularly welcome applications from veterans and military spouses. All your information will be kept confidential according to EEO guidelines. You may request reasonable accommodations by sending an email to hr@mx.com.

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