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Manager Data Analytics Engineer Jobs in Draper, UT

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 ...

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 ...

Verisk is seeking an Analytics Engineer to help build the trusted data foundation that powers ... manage their businesses through efficiency, flexibility, and data governance Catastrophe and Risk ...

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 ...

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 ...

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 ...

As our Analytics Engineer - Finance / GTM, you'll build and own the datasets and reporting that the ... data products. * Strong communication and stakeholder management skills. * Self starter with an ...

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 ...

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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 Aug 4, 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 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:

Analytics Engineer

Breeze Airways

Cottonwood Heights, UT • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago


Breeze Airways rating

5.9

Company rating: 5.9 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

21st of 26 rated airlines


Job description

Breeze is hiring- join us!

The Analytics Engineer owns the delivery of high-quality, analytics-ready data that powers enterprise reporting, operational insights, data science models, and strategic decision-making. This position owns the end-to-end design, build, and ongoing health of scalable semantic models within Snowflake, ensuring trusted, performant, and wellgoverned data assets for use across platforms such as Power BI, Posit Connect, etc. The role serves as a bridge between data engineering and business analytics-translating complex operational, commercial, and financial data into curated datasets that enable self-service reporting and consistent KPI definitions.

Aviation industry experience is strongly preferred, as this role frequently partners with teams across the business to model data that supports regulatory reporting, operational performance, data science initiatives, and mission-critical airline metrics. The ideal candidate combines strong SQL and modeling expertise with the ability to engage stakeholders, define business requirements, take ownership of advancing the maturity of the enterprise semantic layer, and serve as a technical point of reference for the broader analytics team.

Here's what you'll do
  • Own the design, build, and optimization of star schemas, data vaults, operational data stores (ODS), and semantic models for analytical and operational workloads.
  • Own performance tuning, query optimization, and monitoring across the semantic layer.
  • Own and deliver trusted semantic models that fuel self-service analytics that address company KPIs and help influence better decisions through data driven insights.
  • Serve as the primary analytics engineering point of contact for business units (Finance, Operations, Commercial, Maintenance, Safety, etc.), owning the translation of their data needs into technical solutions.
  • Own the translation of business requirements into scalable, analytics-ready datasets aligned to KPIs, metrics definitions, and governance standards.
  • Define, own, and maintain data modeling standards, glossary, lineage, documentation, and best practices.
  • Use Python, R, SQL, and other programming languages for data cleaning, transformation, and analysis tasks
  • Support security and compliance requirements such as access control, data masking, and regulatory reporting needs.
  • Other duties and responsibilities as determined by leadership
  • Achieve performance measures and adhere to established standards in conjunction with Breeze Aviation Group Values of Safety, Kindness, Integrity, Ingenuity, and Excellence
Here's what you'll need to be successfulMinimum Qualifications
  • Combination of experience and education will be considered
  • Bachelor's degree in Data Science, Information Systems, Computer Science, Statistics, Data Analytics, or a related field.
  • 5+ years of experience in Analytics Engineering, Business Intelligence, or Data Engineering roles.
  • Advanced SQL skills across major platforms (Snowflake, SQL Server, Oracle, Postgres, etc.).
  • Strong experience building and maintaining semantic/analytical models, especially dimensional models, star schemas, and KPI frameworks.
  • Experience with business intelligence tools (e.g., Power BI, Tableau, Looker)
  • Strong analytical and problem-solving skills
  • Knowledge of RESTful APIs and experience with tools like Postman or similar
  • Familiarity with data warehousing concepts and ETL processes
  • Comfortable using agentic AI tools and large language model (LLM) assistants to accelerate development, data modeling, and analysis workflows.
  • Working knowledge of the Model Context Protocol (MCP) and connecting AI agents to data sources, tools, and internal systems
Preferred Qualifications
  • Experience in the aviation industry
  • Background in self-service analytics enablement and BI governance.
Skills/Talents
  • Collaborates across the organization to ensure alignment of stakeholder needs
  • Ability to break ambiguity into solvable parts
  • Operates with the highest integrity, tackles problems with ingenuity, constantly pursues excellence, and exercises kindness in all interactions
  • Exceptional communication skills
  • Demonstrated ability to manage multiple projects simultaneously
  • Ability to build and maintain relationships within the organization
  • Excellent organizational and time-management skills
  • Practices extreme ownership and transparency
  • Proficient in Microsoft Office Suite
  • Exemplifies Breeze's safety culture, values, and mission
Perks of the Job
  • Health, Vision and Dental
  • Health Savings Account with Breeze Employee Match
  • 401K with Breeze Employee Match
  • PTO
  • Travel on Breeze and other Airlines too!
  

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