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Data Systems Manager Jobs in Utah (NOW HIRING)

Data Warehouse Analytics Specialist

Sandy, UT · On-site

$17 - $21.75/hr

The position serves as a bridge between technical systems and business users by translating ... Familiarity with semantic models, governed metrics, or metadata management. * Experience with ...

Data Warehouse Analytics Specialist

Sandy, UT · On-site

$17 - $21.75/hr

The position serves as a bridge between technical systems and business users by translating ... Familiarity with semantic models, governed metrics, or metadata management. * Experience with ...

Quality Systems Supervisor

Lindon, UT · On-site

$65K - $75K/yr

You will supervise shift inspectors, manage documentation workflows, maintain inspection and audit ... Oversee real-time document control, change control, batch record review, and data-integrity ...

We provide clarity through simple, repeatable systems and goals that enable transformational ... The Senior Manager, Data Engineering reports to the Senior Director of Data Management & Governance.

... management, logistics and fulfillment, pricing, forecasting and customer service. Hundreds of ... System Observability: Expertise in building highly observable platforms using tools like Prometheus ...

... management, logistics and fulfillment, pricing, forecasting and customer service. Hundreds of ... System Observability: Expertise in building highly observable platforms using tools like Prometheus ...

... management, logistics and fulfillment, pricing, forecasting and customer service. Hundreds of ... System Observability: Expertise in building highly observable platforms using tools like Prometheus ...

... management, logistics and fulfillment, pricing, forecasting and customer service. Hundreds of ... System Observability: Expertise in building highly observable platforms using tools like Prometheus ...

Manage ServiceNow instance administration including upgrades, cloning, performance tuning, and ... By analyzing millions of pest data points across neighborhoods, pest activity, and weather patterns ...

Staff Data Platform Engineer

Lehi, UT · On-site

$130 - $160/hr

... management, logistics and fulfillment, pricing, forecasting and customer service. Hundreds of ... System Observability: Expertise in building highly observable platforms using tools like Prometheus ...

Manage ServiceNow instance administration including upgrades, cloning, performance tuning, and ... By analyzing millions of pest data points across neighborhoods, pest activity, and weather patterns ...

Manage ServiceNow instance administration including upgrades, cloning, performance tuning, and ... By analyzing millions of pest data points across neighborhoods, pest activity, and weather patterns ...

Staff Data Platform Engineer

Lehi, UT · On-site

$120 - $150/hr

Architect and implement AI‑driven diagnostic systems to autonomously identify, analyze, and ... managing large‑scale infrastructure. * Data Processing: Strong experience with distributed data ...

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Showing results 41-60

Data Systems Manager information

See Utah salary details

$41.9K

$102K

$179.3K

How much do data systems manager jobs pay per year?

As of Aug 20, 2026, the average yearly pay for data systems manager in Utah is $101,957.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,100.00 and $123,800.00 per year, depending on experience, location, and employer.

What is a data systems manager?

Data Systems Managers are professionals responsible for overseeing the design, implementation, and maintenance of an organization's data management systems. They ensure that data storage, retrieval, and security processes run smoothly, supporting business operations and decision-making. Typically, they manage teams of IT specialists, coordinate with other departments, and stay updated with evolving technologies. Their role is critical for ensuring the accuracy, accessibility, and security of organizational data.

What are the key skills and qualifications needed to thrive as a data systems manager?

To excel as a Data Systems Manager, you need expertise in database management, data architecture, and systems integration, often supported by a degree in information technology or computer science. Familiarity with SQL, cloud platforms (such as AWS or Azure), and certifications like Certified Data Management Professional (CDMP) are highly valuable. Strong leadership, problem-solving abilities, and effective communication distinguish top performers in this role. These competencies ensure that data systems are secure, efficient, and aligned with organizational goals, enabling informed decision-making.

What are some common challenges faced by data systems managers when integrating new technologies into existing data infrastructure?

Data Systems Managers often encounter challenges such as ensuring compatibility between legacy systems and new technologies, minimizing downtime during migration, and maintaining data integrity throughout the integration process. They also need to coordinate closely with IT, security, and business teams to align technology upgrades with organizational goals and compliance requirements. Effective change management and thorough testing are crucial to address these challenges and ensure a smooth transition.

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

AspectData Systems ManagerData Analyst
Required CredentialsBachelor's degree in IT, Computer Science, or related field; certifications like Cisco, Microsoft, or cloud certificationsBachelor's degree in Statistics, Mathematics, or related field; certifications like Microsoft Excel, Tableau, or SQL
Work EnvironmentIT departments, data management teams, enterprise environmentsBusiness units, marketing, finance, data visualization teams
Employer & Industry UsageTech companies, large corporations, government agenciesMarketing firms, finance companies, consulting agencies

The Data Systems Manager oversees data infrastructure, ensuring systems run efficiently, while the Data Analyst interprets data to provide insights. Both roles require technical skills, but the manager focuses on system management, whereas the analyst emphasizes data analysis and reporting.

What cities in Utah are hiring for Data Systems Manager jobs?

Cities in Utah with the most Data Systems Manager job openings:

What are popular job titles related to Data Systems Manager jobs in UT?

For Data Systems Manager jobs in UT, the most frequently searched job titles are:

Infographic showing various Data Systems Manager job openings in Utah as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $101,957 per year, or $49 per hour.

Data Warehouse Analytics Specialist

challenger

Sandy, UT • On-site

$17 - $21.75/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 8 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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