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Manager Data Analytics Engineer Jobs in Provo, UT

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 ...

Utah Community Credit Union

Data Engineer

Provo, UT

$108K - $130K/yr

Working closely with business intelligence analysts, compliance teams, and technology leadership ... manage the credit union's data warehouse and data lake, including schema design, partitioning ...

Utah Community Credit Union

Data Engineer

Provo, UT · On-site

$108K - $130K/yr

Working closely with business intelligence analysts, compliance teams, and technology leadership ... manage the credit union's data warehouse and data lake, including schema design, partitioning ...

Patientco

VP, Data Sciences

Lehi, UT · On-site

Team Management & Development: Building, mentoring, and leading a high-performing team of data engineers, data scientists, and data analysts, fostering a culture of innovation, collaboration, and ...

Crew Career Center

VP, Data Sciences

Lehi, UT · On-site

Team Management & Development: Building, mentoring, and leading a high-performing team of data engineers, data scientists, and data analysts, fostering a culture of innovation, collaboration, and ...

Waystar

VP, Data Sciences

Lehi, UT · On-site

Team Management & Development:** Building, mentoring, and leading a high-performing team of data engineers, data scientists, and data analysts, fostering a culture of innovation, collaboration, and ...

Five Star Franchising LLC

Data Engineer

Springville, UT · On-site

$105K - $127K/yr

You will work with CRM vendors to find API or other access to and validate data, and the Five Star ... Transforming raw data into usable formats for analysis and other applications. We use Looker for ...

ZAGG Inc

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 ...

ZAGG, Inc.

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 & Tracking Specialist responsible for implementation and QA. ...

Brevium

Data Analyst Assistant

American Fork, UT

$20 - $22/hr

Data Analyst Assistant (Part-time, 20 hours/week) - Programming Focus Location: American Fork, Utah (In Office) About Us: Brevium is a dynamic and innovative healthcare technology company located in ...

Brevium

Data Analyst Assistant

American Fork, UT · On-site

$20 - $22/hr

Data Analyst Assistant (Part-time, 20 hours/week) - Programming Focus Location: American Fork, Utah (In Office) About Us: Brevium is a dynamic and innovative healthcare technology company located in ...

BambooHR

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 ... and analytics and AI-ready architectures. * Design and manage cloud-based data and AI ...

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Showing results 21-40

All JobsData Analytics Engineer JobsManager Data Analytics Engineer JobsManager Data Analytics Engineer Jobs in Provo, UT

Manager Data Analytics Engineer information

See Provo, UT salary details

$42.1K

$122.7K

$167.9K

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

As of Aug 13, 2026, the average yearly pay for manager data analytics engineer in Provo, UT is $122,707.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,300.00 and $130,100.00 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 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 job categories do people searching Manager Data Analytics Engineer jobs in Provo, UT look for? The top searched job categories for Manager Data Analytics Engineer jobs in Provo, UT are:
What cities near Provo, UT are hiring for Manager Data Analytics Engineer jobs? Cities near Provo, 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 Provo, UT as of June 2026, with employment types broken down into 90% Full Time, 3% Part Time, and 7% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,707 per year, or $59 per hour.

Manager, Data Science & Modeling

Merrick Bank

South Jordan, UT • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago

Job description

Join our team and build your career with momentum as we champion your growth, elevate your ideas and engage you in purpose-driven work that makes a real difference every day.
Who we are
Founded in 1997, Merrick Bank is an FDIC®-insured financial institution headquartered in South Jordan, Utah, with over $10 billion in assets. A wholly owned subsidiary of CardWorks Financial Group, Merrick Bank serves roughly five million cardmembers and more than 100,000 merchant customers nationwide.
What we do
We provide credit cards, recreational loans, deposit accounts, merchant services and bank sponsorships to consumers and businesses. As a leader in non-prime lending and merchant acquiring, we combine innovative technology with data-driven insights to help underserved consumers build and strengthen credit while delivering integrated, scalable payment solutions for businesses.
Merrick Bank ranks among the top 20 FDIC®-insured credit card issuers in the U.S. and among the top 15 merchant acquirers by transaction volume.
Data Scientists build and maintain machine learning and statistical models that address key business challenges across the bank. The role involves framing business problems mathematically and applying advanced analytical techniques to generate solutions.
Data Science is a technical discipline requiring strong skills in software engineering, statistics, and modern data infrastructure.
Essential Functions:
  • Develop and sustain predictive modeling solutions across Credit Risk, Balance/Revenue forecasting, Direct Mail Response, and account-level valuation domains.
  • Provide end-to-end ownership of the model development lifecycle, including problem framing, conceptual design, data analysis, model construction, validation, documentation, deployment, and user enablement.
  • Administer a rigorous model monitoring framework to ensure models remain accurate, stable, and refreshed at appropriate intervals. Investigate performance issues, identify root causes, and recommend appropriate corrective actions when models do not perform as expected.
  • Communicate insights and recommendations to senior leadership and contribute to strategic business planning.
  • Proactively develop additional ad hoc reporting and data visualizations to support modeling initiatives and decision-making.
  • Serve as subject matter expert for the model attributes and performance, influencing strategy and providing ongoing support.
  • Offer statistical guidance in the design of experiments aimed at optimizing Product, Marketing, and Credit strategies.

Compliance with Laws and Regulations
  • Responsible for complying with all of the Bank's internal control policies and procedures.
  • Responsible for understanding and complying with all laws and regulations to which the Bank is subject.
  • Responsible for communicating problems in operations, noncompliance with the code of conduct, noncompliance with laws and regulations, policy violations, or illegal acts.

Additional Responsibilities
  • Perform other duties as assigned by senior management.
  • Maintain ethical standards, judgment, and confidentiality in all matters.

Requirements for Success:
Education & Experience:
  • Bachelor's degree in quantitative fields (e.g., Data Science/Analytics, Statistics/Applied Math, Economics, Engineering or Sciences) is required.
  • Advance Degree (Master's or PhD) in quantitative fields (e.g., Data Science/Analytics, Statistics/Applied Math, Economics, Engineering or Sciences) is preferred.
  • Three (3) years of hands-on experience with a bachelor's degree, or two (2) year's hands-on experience with a master's degree, in quantitative fields (same as above).

Knowledge, Skills and Capabilities:
  • Profound expertise with SQL and at least one scripting language such as Python, R, or Shell.
  • Proficiency with Microsoft Office tools including Excel, Word and PowerPoint.
  • Strong verbal, written, and interpersonal communication skills.
  • Proven ability to collaborate effectively within cross-functional teams.
  • Ability to navigate ambiguity and work hands-on with complex business and technical challenges.
  • Strength in problem-solving, critical thinking, teamwork, attention to detail, and organization.
  • High curiosity and learning agility, with a strong sense of initiative and a willingness to roll up one's sleeves.

#INDHP1
Why join us
We believe in putting people first by supporting our customers, employees and our partners while creating opportunities for everyone to reach their potential. From fostering work-life balance to rewarding good work and innovative ideas, we invest in what matters most, our people.
At Merrick Bank, you'll be part of a collaborative, customer-focused team where you can grow your career while making a meaningful impact.
Our Employee Value Proposition
  • Competitive Pay, including a Bonus Target or Variable Pay Incentive Program
  • Benefits Package -Medical, Dental, and Vision (plus much more)
  • 401(k) Plan with Company Match
  • Short- & Long-Term Disability
  • Wellness Programs
  • Group Life and AD&D Insurance
  • Paid Vacation, Sick Days and bank Holidays
  • Employee Engagement Activities including Employee Appreciation Day, DEI Employee Resource Groups, Corporate Social Responsibility, Service Recognition

We offer a total rewards package comprised of a competitive base rate of pay, variable pay incentive programs based on the role, and a comprehensive benefit suite. Offered rates of pay are determined based on job-related knowledge, relevant experience, skills, certifications, and geographic location.
We are proud to be an equal opportunity employer. All qualified applicants will receive consideration without regard to age, race, color, sex, or gender identity/expression (including pregnancy, childbirth, transgender status, or sexual orientation), religion or creed, ancestry, citizenship, national origin, disability, military or veteran status, marital status, genetic information, or any other characteristic protected by applicable law.
We do not tolerate discrimination, harassment, or retaliation. Employment decisions are based solely on qualifications, merit, and business needs. Everyone is welcome here, and we hire based on your ability to do the job, not any protected characteristics.
If you need help or reasonable accommodation during the application or hiring process, please let your TA Partner know.

Apply