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Data Services Manager Jobs in Utah (NOW HIRING)

Pwc

Data Engineer - Manager

Salt Lake City, UT

... relevant services - Designing and managing data warehouses and data lakes, verifying data is ... organized and accessible - Monitoring and troubleshooting data pipelines, data warehouses and ...

Gehc

Service Data Scientist

Salt Lake City, UT

... and services. Work in technical teams in development, deployment, and application of applied ... Demonstrated awareness of data management methods Demonstrated awareness of real-time analytics ...

GE Healthcare

Service Data Scientist

Salt Lake City, UT · On-site

... and services. Work in technical teams in development, deployment, and application of applied ... Demonstrated awareness of data management methods Demonstrated awareness of real-time analytics ...

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All JobsData Services JobsData Services Manager JobsData Services Manager Jobs in Utah

Data Services Manager information

See Utah salary details

$28.2K

$88.4K

$156.6K

How much do data services manager jobs pay per year?

As of Aug 14, 2026, the average yearly pay for data services manager in Utah is $88,438.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,100.00 and $114,300.00 per year, depending on experience, location, and employer.

What is a data services manager?

A Data Services Manager is a professional responsible for overseeing the collection, management, and utilization of data within an organization. They lead teams that develop and maintain data systems, ensure data quality and security, and facilitate data-driven decision-making. Their role often involves collaborating with IT, analytics, and business departments to ensure that data services align with organizational goals. Data Services Managers also establish data policies and best practices, manage data integration projects, and support business intelligence initiatives.

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

To thrive as a Data Services Manager, you need strong expertise in data management, analytics, and database administration, typically supported by a degree in information technology or a related field. Familiarity with data warehouse platforms, SQL, cloud services (such as AWS or Azure), and certifications like CDMP or PMP are often required. Leadership, problem-solving, and effective communication are crucial soft skills for managing teams and translating business needs into data solutions. These competencies ensure data integrity, drive informed decision-making, and support organizational goals through efficient data practices.

What are some common challenges a data services manager faces when overseeing cross-departmental data initiatives?

A Data Services Manager often encounters challenges related to aligning various departments’ data needs and priorities. Coordinating data governance, standardization, and quality control across teams can be complex, as each department may use different systems and terminology. Effective communication and stakeholder management are crucial for ensuring smooth data integration and adoption of best practices. Additionally, balancing ongoing support for current data services while implementing new projects requires strong organizational and time management skills.

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

AspectData Services ManagerData Analyst
Required CredentialsBachelor's or Master's in Data Science, IT, or related field; often managerial certificationsBachelor's in Statistics, Data Science, or related field; certifications like Microsoft Data Analyst are common
Work EnvironmentLeads data teams, manages data infrastructure, collaborates with IT and business unitsAnalyzes data sets, creates reports, supports decision-making across departments
Employer & Industry UsageUsed in organizations with large data operations, tech, finance, healthcareCommon across industries for data reporting and insights

The Data Services Manager oversees data infrastructure and team management, focusing on data strategy and operations. In contrast, Data Analysts primarily interpret data, generate reports, and support business decisions. Both roles require strong analytical skills, but the manager role involves leadership and technical oversight, while the analyst role emphasizes data interpretation and reporting.

What job categories do people searching Data Services Manager jobs in Utah look for?

The top searched job categories for Data Services Manager jobs in Utah are:

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

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

Data Services Manager jobs near you
Infographic showing various Data Services Manager job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 17% Part Time, 1% Temporary, and 4% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $88,438 per year, or $42.5 per hour.

Senior Power BI Developer (Senior Specialist, Business Analyst)

L3HHCM20

Salt Lake City, UT

Full-time

Posted 28 days ago

Job description

Job Title: Senior Power BI Developer (Senior Specialist, Business Analyst)

Job Code: 40551

Job Location: Salt Lake City, Utah

Job Schedule: 9/80 (employee's work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off)

 

POSITION DESCRIPTION

The Senior Power BI Developer is responsible for architecting, developing, optimizing, and supporting enterprise business intelligence solutions using Microsoft Power BI, Microsoft Fabric, Azure data services, Snowflake, and related technologies. This role partners with business stakeholders, analysts, data engineers, and IT teams to deliver scalable semantic models, dashboards, reports, and analytics solutions that enable data-driven decision-making across the organization.

ESSENTIAL FUNCTIONS

  • Facilitate the collection and definition of requirements for reporting and analytics projects.
  • Translate business requirements into scalable semantic models, dashboards, reports, and technical solutions aligned with enterprise architecture and data strategy.
  • Collaborate with stakeholders to build intuitive, effective, and high-performing reporting solutions.
  • Design and maintain dimensional data models, including fact and dimension tables, relationships, hierarchies, and reusable measures.
  • Develop advanced DAX calculations for KPIs, business rules, time intelligence, and analytical reporting.
  • Build and maintain Power Query / M transformations for data ingestion, cleansing, shaping, and standardization.
  • Develop reporting and analytics solutions using enterprise data platforms including Azure, Azure Data Factory, Snowflake, and other cloud or relational data sources.
  • Partner with data engineering and IT teams to support data integration, orchestration, and pipeline workflows that enable reporting and analytics solutions.
  • Optimize Power BI models, datasets, and reports for performance, scalability, usability, and refresh reliability.
  • Support analytics extensions using Microsoft Fabric and, where appropriate, Python and R.
  • Troubleshoot and resolve data quality, performance, modeling, refresh, and reporting issues.
  • Implement and maintain report security, workspace standards, deployment practices, and technical documentation.
  • Develop ad hoc reports, dashboards, and analytical solutions as needed.
  • Promote Power BI best practices, governance, and enterprise adoption across the organization.
  • Plan, execute, maintain, and successfully deliver assigned projects.

REQUIRED QUALIFICATIONS (ONE OF THE FOLLOWING)

  • Bachelor's Degree and minimum 6 years of prior relevant experience.
  • Graduate Degree and a minimum of 4 years of prior related experience.
  • In lieu of a degree, minimum of 10 years of prior related experience.

 

PREFERRED ADDITIONAL SKILLS

  • Excellent written and verbal communication skills, including the ability to clearly explain technical concepts to non-technical audiences.
  • Ability to interface effectively with personnel at all levels of the company, including senior management.
  • Advanced experience with Power BI, DAX, Power Query (M language), SQL, and dimensional data modeling.
  • Strong experience building and optimizing enterprise Power BI semantic models, reports, dashboards, and data transformations.
  • Experience troubleshooting performance, refresh, query, and usability issues in Power BI environments.
  • Experience with Power BI governance, gateways, deployment pipelines, and row-level security.
  • Experience working with enterprise data platforms and cloud data environments such as Azure, Azure Data Factory, and Snowflake.
  • Knowledge of modern BI development practices, including governance, documentation, testing, and deployment.
  • Experience with Microsoft Fabric.
  • Experience with Azure data services, Azure Data Factory pipelines, and Snowflake in support of analytics and reporting solutions.
  • Experience with Python and/or R.
  • Familiarity with Tabular Editor, DAX Studio, Performance Analyzer, or similar tools.

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