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Manager Data Analyst Machine Learning Jobs in Utah

Data Science Tutor

Cedar City, UT ยท Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Data Science Tutor

Spanish Fork, UT ยท Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Data Science Tutor

Provo, UT ยท Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Data Science Tutor

Logan, UT ยท Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

... external agency management. Position Summary and Role Impact: The Director, Data Science ... This position combines advanced analytics, machine learning, Generative AI, competitive ...

Industry/Sector Not Applicable Specialism Data Science Management Level Director & Summary The ... machine learning libraries - Utilizing Python and C++ for complex data analysis and modeling ...

Showing results 41-60

Manager Data Analyst Machine Learning information

What is the difference between Manager Data Analyst Machine Learning vs Data Scientist?

AspectManager Data Analyst Machine LearningData Scientist
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related; experience in machine learningBachelor's/Master's/PhD in Data Science, Statistics, or related; strong programming skills
Work EnvironmentTeam leadership, project management, cross-department collaborationResearch, model development, data exploration
Employer & Industry UsageBusiness analytics, tech companies, finance, healthcareTech firms, research institutions, consulting

While both roles involve data analysis and machine learning, the Manager Data Analyst Machine Learning focuses on leading teams and managing projects, whereas Data Scientists primarily develop models and perform in-depth data research.

What are the most commonly searched types of Data Analyst Machine Learning jobs in Utah? The most popular types of Data Analyst Machine Learning jobs in Utah are:
What cities in Utah are hiring for Manager Data Analyst Machine Learning jobs? Cities in Utah with the most Manager Data Analyst Machine Learning job openings:

Data Analyst

Albany International Corp.

Salt Lake City, UT โ€ข On-site

Full-time

Posted 7 days ago


Job description

Responsibilities
  • Gather, clean, and validate data from multiple internal and external sources to ensure accuracy and consistency.
  • Analyze operational, program, manufacturing, or supply chain data to identify trends, risks, and improvement opportunities.
  • Improve data quality, reporting processes, and automation through better tools, workflows, and data pipelines.
  • Build and maintain dashboards, reports, and KPI scorecards using tools such as Excel, Power BI, Tableau, or similar platforms.
  • Work cross-functionally with program teams to understand reporting needs and deliver actionable analysis.
  • Support process improvement initiatives by using data to evaluate performance and measure impact.
  • Support leadership with recurring reports, ad hoc analysis, and presentation-ready insights for business reviews.

Qualifications
  • Bachelor's degree in Business, Engineering, Data Analytics, Operations Management, or a related field.
  • 3+ years of experience in project management, operations, business analysis, or a similar role.
  • Strong proficiency in SAP, Excel, SQL, and data visualization tools such as Power BI or Tableau.
  • Experience working with large datasets, dashboards, reporting automation, and KPI development.
  • Experience managing cross-functional projects in a fast-paced environment.
  • Ability to analyze data, identify insights, and translate findings into clear action plans.
  • Strong organizational, communication, and stakeholder management skills.