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Manager Data Analytics Engineer Jobs in Utah (NOW HIRING)

TAB Bank

Data Analytics Engineer

Ogden, UT

$112K - $134K/yr

Data Analyst Engineer to design, develop, and maintain scalable data solutions that support the ... managers, and subject matter experts * Successfully engage in multiple initiatives simultaneously

TAB Bank

Data Analytics Engineer

Ogden, UT · On-site

$112K - $134K/yr

Data Analyst Engineer to design, develop, and maintain scalable data solutions that support the ... managers, and subject matter experts * Successfully engage in multiple initiatives simultaneously

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 ...

Natures Sunshine Products

Analytics Engineer

Lehi, UT · On-site

As part of that investment, we are building a new Enterprise Data & Analytics function to unlock ... As an Analytics Engineer, you will build and maintain analytics assets that turn business logic ...

Nature's Sunshine Products

Analytics Engineer

Lehi, UT · On-site

As part of that investment, we are building a new Enterprise Data & Analytics function to unlock ... As an Analytics Engineer, you will build and maintain analytics assets that turn business logic ...

Nature's Sunshine Products

Analytics Engineer

Lehi, UT · On-site

As part of that investment, we are building a new Enterprise Data & Analytics function to unlock ... As an Analytics Engineer, you will build and maintain analytics assets that turn business logic ...

Pwc

Data Engineer - Manager

Salt Lake City, UT

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

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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:
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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
Data Analytics Engineer

Data Analytics Engineer

TAB Bank

Ogden, UT

$112K - $134K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago

Job description

Data Analyst Engineer to design, develop, and maintain scalable data solutions that support the bank’s Business Intelligence pipelines, modeling, and reporting. This role bridges data engineering, analytics, and business intelligence by transforming complex data into reliable, actionable intelligence and insights for strategic decision-making across the organization. The ideal candidate combines strong analytical skills with technical expertise in SQL, data modeling, Python pipelines, and visualization tools.

Essential Duties and Responsibilities:

  • Collect, clean, and analyze large datasets from multiple sources
  • Design and maintain data models, dashboards, and reporting systems
  • Develop and optimize SQL queries, ETL processes, and data pipelines
  • Collaborate with business stakeholders to understand reporting and analytics needs
  • Monitor data quality, integrity, and consistency across systems
  • Build automated reports and visualizations using BI tools
  • Identify trends, patterns, and opportunities through statistical analysis
  • Support decision-making with data-driven recommendations
  • Work with data engineers and software teams to improve data architecture
  • Document data definitions, workflows, and technical processes

Required education and experience:

Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Statistics, or related field

  • 3+ years of experience in business intelligence, analytics engineering, or data engineering
  • Advanced SQL skills and experience working with large relational and cloud-based datasets
  • Proficiency in Python or another analytics/programming language
  • Understanding of data warehousing and data modeling concepts, including dimensional and normalized models
  • Experience with BI and visualization tools such as Power BI or Tableau
  • Strong analytical, communication, and problem-solving skills
  • Or an equivalent combination of education and experience that provides the required knowledge, skills, and abilities

Preferred education and experience:

 MSSQL and Python experience preferred

  • Experience with large scale streaming pipelines is a plus
  • Snowflake experience is a plus
  • Financial Services and Commercial Banking experience is a plus

Competencies:

 Proficient in Python and SQL

  • Data warehousing and modeling, including dimensional and normalized models
  • Tableau or Power BI
  • Must have independent problem-solving skills and ability to develop solutions to complex analytical/data modeling problems
  • Excellent verbal and written communication skills and the ability to interact professionally with a diverse group including executives, managers, and subject matter experts
  • Successfully engage in multiple initiatives simultaneously
  • Work successfully in a team environment using Agile Scrum methodologies
  • Willing to suggest improvements along with offering possible solutions

TAB Bank Offers:

  • Onsite Gym
  • Tuition Reimbursement
  • Paid Holidays
  • Gym Reimbursement
  • College Scholarships for Employees and Families
  • 401(k)
  • Paid Time Off (PTO)
  • Employee Assistance Program (EAP)
  • I Made the Grade
  • Holiday Club Program
  • Medical, Dental, Vision, Life and AD&D, Voluntary Disability, Flex Spending & Dependent Care

TAB Bank will not sponsor applicants for work visas.

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