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No Experience Data Analyst Machine Learning Jobs in Utah

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Machine Learning Engineer

Salt Lake City, UT · On-site

Required : • Strong experience in machine learning engineering, including data handling, model ... to analyze model results and kick off new experiments in response • Experience with BERT or ...

Varsity Tutors

Machine Learning Tutor

Cedar City, UT · Remote

$18 - $40/hr

No commuting required. * Get matched with students best-suited to your teaching style and expertise ... Guides students through data preprocessing, feature selection, building and comparing ...

Varsity Tutors

Machine Learning Tutor

Spanish Fork, UT · Remote

$18 - $40/hr

No commuting required. * Get matched with students best-suited to your teaching style and expertise ... Guides students through data preprocessing, feature selection, building and comparing ...

Varsity Tutors

Machine Learning Tutor

Logan, UT · Remote

$18 - $40/hr

No commuting required. * Get matched with students best-suited to your teaching style and expertise ... Guides students through data preprocessing, feature selection, building and comparing ...

Varsity Tutors

Machine Learning Tutor

Provo, UT · Remote

$18 - $40/hr

No commuting required. * Get matched with students best-suited to your teaching style and expertise ... Guides students through data preprocessing, feature selection, building and comparing ...

Omnicom

Data Analyst

Salt Lake City, UT · On-site

Data and Analytics Job Subfunction: Data Science and Analytics MRM is part of the Omnicom Precision ... machine learning / predictive modelling. - Knowledge or experience working with Firebase ...

Omnicom

Data Analyst

Salt Lake City, UT · Hybrid

Data and Analytics Job Subfunction: Data Science and Analytics MRM is part of theOmnicomPrecision ... machine learning / predictive modelling. - Knowledge or experience working with Firebase ...

MRM

Data Analyst

Salt Lake City, UT · On-site

$60 - $80/hr

Data and Analytics **Job Subfunction:**Data Science and Analytics** **MRM is part of the Omnicom ... machine learning / predictive modelling. - Knowledge or experience working with Firebase ...

Workiva

$40/hr

... and Analytics organization. This is an excellent opportunity to gain hands-on experience in the ... Familiarity with the data science lifecycle and basic machine learning concepts * Experience with ...

Workiva

$40/hr

... and Analytics organization. This is an excellent opportunity to gain hands-on experience in the ... Familiarity with the data science lifecycle and basic machine learning concepts * Experience with ...

Workiva

$40/hr

... and Analytics organization. This is an excellent opportunity to gain hands-on experience in the ... Familiarity with the data science lifecycle and basic machine learning concepts * Experience with ...

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No Experience Data Analyst Machine Learning information

What is a no experience data analyst machine learning?

A No Experience Data Analyst in Machine Learning is an entry-level professional who is starting out in data analysis with a focus on machine learning concepts, but does not yet have prior work experience in the field. These analysts typically use data tools and basic machine learning techniques to clean, organize, and interpret datasets under supervision. They often learn on the job, gaining skills in data visualization, statistical analysis, and foundational machine learning algorithms. Many begin with online courses, bootcamps, or internships to build their expertise and portfolios. This role is ideal for those transitioning into tech or analytics from different backgrounds.

What are the key skills and qualifications needed to thrive as a no experience data analyst machine learning?

To thrive as a No Experience Data Analyst in Machine Learning, you need foundational knowledge in statistics, data interpretation, and basic programming skills, often gained through relevant coursework or online certificates. Familiarity with tools like Python, SQL, Excel, and machine learning libraries such as scikit-learn or TensorFlow is typically expected. Strong problem-solving, attention to detail, and a willingness to learn new concepts help set candidates apart in this entry-level role. These skills are vital for accurately analyzing data, building predictive models, and supporting data-driven decision-making in a rapidly evolving field.

What are some common challenges faced by entry-level data analysts working with machine learning, and how can they overcome them?

Entry-level data analysts working with machine learning often encounter challenges such as understanding complex algorithms, cleaning and preparing raw data, and interpreting model outputs. To overcome these obstacles, it's helpful to leverage online tutorials, seek mentorship from senior team members, and actively participate in team meetings to clarify doubts. Collaborating with data scientists and software engineers can also accelerate learning and help bridge gaps in technical knowledge. Emphasizing continuous learning and practicing on real datasets can further build confidence and competence in the field.

What are the most commonly searched types of Data Analyst Machine Learning jobs in Utah?

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No Experience Data Analyst Machine Learning jobs near you
Infographic showing various No Experience Data Analyst Machine Learning job openings in Utah as of September 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, 4% Contract, and 1% Nights. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution.

Customer Experience Data Analyst

Providence, UT • On-site

Smartaira
Internet and IT • 51 - 200 employees
Learn more about Smartairaexternal

Full-time

Posted 5 days ago

Job description

Description:

 Smartaira is seeking a motivated Customer Experience Data Analyst to deliver insights that drive smarter decisions, stronger customer satisfaction, and improved operational efficiency. This role combines advanced analytics with business acumen, ensuring leaders have the information they need to act with confidence.

The analyst will conduct evaluations of customer experience processes, financial performance, and agent productivity. They will design automated dashboards and reporting tools to track KPIs and support long-term performance monitoring. In addition, the role will contribute to project success by coordinating timelines, tracking deliverables, and keeping communication clear across teams.

This is a high-visibility role with the opportunity to directly influence both customer outcomes and business results.

Key Responsibilities

Customer & Process Analytics

  • Analyze business processes to identify opportunities to improve efficiency and customer experience.
  • Assess agent productivity metrics, including manpower planning and first-call resolution rates.

Financial Analysis

  • Conduct financial modeling, including property-level performance reviews and detailed cost analysis.

Reporting & Insights

  • Build automated dashboards and custom reports to track KPIs and operational performance.
  • Translate complex data into clear, actionable insights for leadership and stakeholders.

Project Support

  • Partner with cross-functional teams and external resources to ensure timely execution of initiatives.
  • Coordinate timelines, monitor deliverables, and maintain stakeholder communication.
  • Present recommendations in a format that informs decisions at the executive level.

Why Join Smartaira?

At Smartaira, we believe data is a key driver of customer and business success. This role offers the chance to apply analytics to real-world customer experience challenges, influence decision-making at the leadership level, and grow into broader CX or analytics leadership roles.

Requirements:

   Required 

  • Bachelor’s degree in Business, Analytics, Finance, Industrial Engineering, or a related field.
  • Strong analytical and problem-solving skills with the ability to connect data to business outcomes.
  • Proficiency in Excel, SQL, or other data analysis tools.
  • Experience with data visualization and reporting.
  • Excellent communication skills, able to present insights to technical and non-technical audiences.
  • Ability to manage multiple priorities and collaborate effectively across teams.

Preferred

  • Experience in customer experience analytics, contact center operations, or process improvement.
  • Familiarity with BI platforms such as Power BI, Tableau, or Looker.
  • Exposure to platforms such as Freshdesk, Crexendo, or HEX.
  • Knowledge of project management methods and collaboration tools.