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Manager Data Analyst Jobs in Provo, UT (NOW HIRING)

challenger

Data Warehouse Analytics Specialist

Sandy, UT · On-site

$17 - $21.75/hr

Familiarity with semantic models, governed metrics, or metadata management. * Experience with Python for data analysis or validation. * Familiarity with AI-assisted analytics tools and workflows.

challenger

Data Warehouse Analytics Specialist

Sandy, UT

$17 - $21.75/hr

Familiarity with semantic models, governed metrics, or metadata management. * Experience with Python for data analysis or validation. * Familiarity with AI-assisted analytics tools and workflows.

Utah Community Credit Union

Data Engineer

Provo, UT

$108K - $130K/yr

... analysts, compliance officers, and business stakeholders to define data requirements and deliver trusted data products • Manage orchestration and scheduling of data workflows using tools such as ...

Utah Community Credit Union

Data Engineer

Provo, UT · On-site

$108K - $130K/yr

... analysts, compliance officers, and business stakeholders to define data requirements and deliver trusted data products • Manage orchestration and scheduling of data workflows using tools such as ...

Smarty

Data Engineer

Orem, UT · On-site

$100/hr

Manage AWS services including ECS/ECR (containerized pipeline execution), Secrets Manager, SNS, and IAM * Collaborate with data analysts to support Power BI reporting, including scheduled semantic ...

Clicklease

Risk Analyst

Draper, UT · On-site

Working closely with teams across Risk, Finance, Data Science, Product, and Operations, you'll gain hands-on experience with financial analytics, reporting, and risk management while contributing to ...

Waystar, Inc

Data Scientist

Lehi, UT · On-site

$90 - $120/hr

Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.

Waystar

Data Scientist

Lehi, UT · On-site

Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.

Crew Career Center

Data Scientist

Lehi, UT · On-site

Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.

Patientco

Data Scientist

Lehi, UT

Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.

Upbound

Data Engineer IV - AI & Data Products

Draper, UT

$107K - $128K/yr

Perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues. Data Governance & Quality * Manage business glossary in collaboration with business ...

Goodfellow Corporation

Inventory Control Manager

Lindon, UT · On-site

$75K - $95K/yr

Provide strategic direction to the Data Analyst for inventory reporting and price file maintenance ... Experience managing cycle count programs.Strong Excel and analytical skills.Leadership experience ...

Thrive Foods

MRP Analyst

American Fork, UT · On-site

$23.75 - $29.25/hr

Strong analytical skills with experience in Excel and data management * Ability to manage multiple priorities and meet deadlines * Experience supporting international or multi-site supply chains

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All JobsData Analyst JobsManager Data Analyst JobsManager Data Analyst Jobs in Provo, UT

Manager Data Analyst information

See Provo, UT salary details

$32.2K

$78.2K

$128.7K

How much do manager data analyst jobs pay per year?

As of Aug 9, 2026, the average yearly pay for manager data analyst in Provo, UT is $78,174.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,100.00 and $91,800.00 per year, depending on experience, location, and employer.

What does a Manager Data Analyst do?

A Manager Data Analyst oversees a team of data analysts, guiding their work in collecting, processing, and interpreting complex data to help organizations make informed decisions. They are responsible for developing data strategies, ensuring data accuracy, and translating analytical findings into actionable insights for business leaders. In addition to technical expertise, they often collaborate with other departments, manage projects, and mentor team members to support business goals and drive growth.

What is the difference between Manager Data Analyst vs Data Analyst?

AspectManager Data AnalystData Analyst
ResponsibilitiesOversees data teams, manages projects, develops strategiesAnalyzes data, prepares reports, supports decision-making
Required SkillsLeadership, project management, advanced analyticsData analysis, SQL, Excel, visualization tools
Experience5+ years, leadership experience often required1-3 years, entry to mid-level
CertificationsRelevant certifications like CAP, PMP beneficialSQL, Excel, Tableau certifications advantageous

The main difference between a Manager Data Analyst and a Data Analyst lies in scope and responsibility. Managers oversee teams and strategic initiatives, while Data Analysts focus on data analysis and reporting. Both roles require strong analytical skills, but managerial positions demand leadership and project management experience.

How does a Manager Data Analyst typically balance hands-on data analysis with overseeing team projects?

A Manager Data Analyst is often responsible for both performing complex data analysis and managing a team of analysts. Balancing these duties involves delegating day-to-day analytical tasks to team members while focusing on project oversight, strategic planning, and stakeholder communication. Managers frequently review team outputs, provide mentorship, and ensure that data-driven insights align with business objectives. This dual role requires strong organizational skills and the ability to shift between technical work and leadership responsibilities.

What are the key skills and qualifications needed to thrive as a Manager Data Analyst?

To thrive as a Manager Data Analyst, you need a strong background in statistics, data modeling, and analytics, often supported by a degree in a quantitative field and experience in data analysis roles. Familiarity with tools such as SQL, Python or R, business intelligence platforms (e.g., Tableau, Power BI), and data management systems is typically required. Leadership, problem-solving abilities, and effective communication skills set standout candidates apart by enabling them to lead teams and translate data insights to stakeholders. These skills are vital for driving data-driven business decisions and ensuring the effective functioning of analytics teams.
What are the most commonly searched types of Data Analyst jobs in Provo, UT? The most popular types of Data Analyst jobs in Provo, UT are:
Manager Data Analyst jobs near you

Data Warehouse Analytics Specialist

Challenger School Human Resources

Sandy, UT • On-site

$80K - $95K/yr

Temporary

Medical, Dental, Vision, Retirement, PTO

Re-posted 26 days ago

Job description

Data Warehouse & Analytics Specialist
Location: Sandy, Utah (100% On-Site)
Department: Research, Operations, and R&D
About Challenger School
Challenger School is an independent private school organization committed to providing exceptional education and fostering critical thinking, personal responsibility, and intellectual growth. Our Research & Development team supports data-driven decision making across the organization and is actively building modern analytics, data warehouse, semantic modeling, and AI-enabled capabilities.
Position Overview
Challenger School is seeking a Data Warehouse & Analytics Specialist to help build trustworthy, well-documented, AI-ready data assets that support reporting, analytics, research, and operational decision making.
This role combines SQL/PYTHON analysis, data warehousing, semantic modeling, business intelligence, data governance, reporting validation, and AI-enabled analytics. The position serves as a bridge between technical systems and business users by translating database structures, reports, and metrics into clear, consistent business definitions.
The ideal candidate enjoys working deeply with SQL/PYTHON, understanding how business metrics are calculated, documenting data definitions, resolving inconsistencies, validating reports, and helping create reliable data structures that can be used by analysts, business users, and AI systems.
This position is heavily focused on SQL/PYTHON, documentation, data quality, warehouse analysis, semantic consistency, and business understanding rather than dashboard design or software engineering.
Responsibilities
  • Analyze SQL/PYTHON queries, views, reports, source systems, and warehouse structures to understand how business metrics are calculated.
  • Trace data lineage from operational systems through data warehouse transformations, reporting layers, and semantic models.
  • Translate technical data logic into clear business definitions.
  • Develop and maintain business glossaries, data dictionaries, metric definitions, and metadata documentation.
  • Validate report outputs against source systems and warehouse data.
  • Support the development and maintenance of Snowflake semantic models.
  • Create and maintain mappings between business terminology and physical database structures.
  • Review and validate AI-generated SQL/PYTHON, analytics, and business insights.
  • Work with stakeholders to standardize business definitions and reporting logic.
  • Support data quality, reconciliation, governance, and AI-readiness initiatives.
  • Help prepare trusted data assets for natural-language querying, AI-assisted reporting, and future analytics initiatives.

Required Qualifications
  • Strong SQL/PYTHON skills.
  • Experience working with relational databases, data warehouses, or cloud data platforms.
  • Ability to understand complex query logic and data transformations.
  • Strong analytical and problem-solving abilities.
  • Excellent written communication and documentation skills.
  • Strong attention to detail.
  • Ability to work effectively with technical and nontechnical stakeholders.

Preferred Qualifications
  • Experience with Snowflake or similar cloud data warehouse platforms.
  • Business intelligence or reporting experience.
  • Experience documenting business rules, metrics, or data definitions.
  • Familiarity with semantic models, governed metrics, or metadata management.
  • Experience with Python for data analysis or validation.
  • Familiarity with AI-assisted analytics tools and workflows.

Ideal Candidate
The ideal candidate enjoys solving data puzzles, untangling complex business logic, identifying why reports disagree, and transforming technical information into clear business definitions. They are patient, precise, intellectually curious, and committed to data quality, consistency, and accuracy.
Benefits
  • Medical, dental, and vision insurance
  • 401(k)
  • Paid time off
  • Professional development opportunities
  • Long-term career growth in analytics, data warehousing, semantic modeling, data governance, and AI-enabled data systems

If you enjoy detailed analytical work and want to help build the foundation for data-driven decision making across a growing educational organization, we encourage you to apply.
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