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Junior Data Analyst Jobs in Mapleton, UT (NOW HIRING)

The Senior Manufacturing Engineer will also mentor and develop junior engineers and technicians. Essential Duties: * Utilize advanced knowledge to analyze manufacturing data to drive continuous ...

Power BI Intern

Orem, UT · On-site

$15/hr

Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics, Information Systems, Business, or related field. * Basic experience or coursework with Power BI, including ...

Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics, Information Systems, Business, or related field. * Basic experience or coursework with Power BI, including ...

Sr. Mechanical Engineer, ALE

Provo, UT · On-site

$98K - $130K/yr

... to analyze, model, and document the design technical data package (TDP) and its capabilities and compliance with requirements. * Serves in mentor role to junior engineers, providing technical ...

Analyze transportation, land use, and mobility data to inform planning recommendations * Assist ... Mentor junior staff and contribute to a collaborative team environment * Lead business development ...

Motor Controls Engineer II

Provo, UT · On-site

$79K - $102K/yr

Raytheon's Hardware Electrical Engineering Team is looking for junior engineers who have ... Design, analyze, simulate, test, and document power conversion (and related analog) circuitry. This ...

Showing results 21-40

Junior Data Analyst information

See Mapleton, UT salary details

$32.5K

$74.9K

$120.3K

How much do junior data analyst jobs pay per year?

As of Sep 2, 2026, the average yearly pay for junior data analyst in Mapleton, UT is $74,856.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,800.00 and $76,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a junior data analyst?

A Junior Data Analyst needs a solid grounding in statistics, data interpretation, and familiarity with data management, usually supported by a bachelor’s degree in a quantitative field. Competence in Excel, SQL, and data visualization tools like Tableau or Power BI, as well as basic programming in Python or R, is often required. Attention to detail, problem-solving abilities, and strong communication skills help analysts effectively interpret data and present insights. These skills are crucial for accurately analyzing data, informing business decisions, and contributing value to teams and organizations.

What does a junior data analyst do?

Junior data analysts work with a team of data analysts to translate data for businesses or government agencies. Data analysts work in many industries, including finance, accounting, health care, pharmaceuticals, technology, and in government agencies. They use algorithms and other tools to help an organization understand different aspects of this data, such as costs, market research, or sales numbers, which will enable them to make better business decisions for the future. A junior data analyst is an entry-level position and will involve seeking and collecting relevant data, as well as documenting the information be processed. Job duties include gathering data, interpreting the statistics, writing reports, and designing charts and graphs.

What are some common challenges faced by junior data analysts when working with large datasets, and how can they effectively overcome them?

Junior Data Analysts often encounter challenges such as data inconsistency, missing values, and handling large volumes of information when working with big datasets. To address these issues, it's important to develop strong data cleaning and preprocessing skills, use efficient data analysis tools like SQL and Python, and regularly collaborate with more experienced team members for guidance. Additionally, documenting your data processing steps and validating results with stakeholders can help ensure accuracy and build confidence in your analyses.

What is the difference between Junior Data Analyst vs Data Scientist?

AspectJunior Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related fields; basic knowledge of SQL, Excel, and data visualization toolsBachelor's or master's degree in data science, statistics, or related fields; advanced programming and statistical skills
Work EnvironmentEntry-level position in data teams; supports data collection, cleaning, and reportingAdvanced role involving complex data modeling, machine learning, and predictive analytics
Employer & Industry UsageCommon in finance, marketing, healthcare, and retail sectorsTypically found in tech, finance, and research-intensive industries

The main difference between a Junior Data Analyst and a Data Scientist lies in their experience, skill level, and responsibilities. Junior Data Analysts focus on data cleaning, basic analysis, and reporting, while Data Scientists handle complex modeling, machine learning, and predictive analytics. Both roles are essential in data-driven organizations, but they require different skill sets and experience levels.

Is it worth becoming a junior data analyst in 2026?

A junior data analyst role remains valuable in 2026 as demand for data skills continues to grow across industries. Success typically requires proficiency in tools like Excel, SQL, and data visualization software, along with a foundational understanding of statistics. Entry-level positions can lead to advanced roles with experience and additional certifications.

What are the most commonly searched types of Data Analyst jobs in Mapleton, UT?

The most popular types of Data Analyst jobs in Mapleton, UT are:

What cities near Mapleton, UT are hiring for Junior Data Analyst jobs?

Cities near Mapleton, UT with the most Junior Data Analyst job openings:

Infographic showing various Junior Data Analyst job openings in Mapleton, UT as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $74,856 per year, or $36 per hour.

X-ray Tubes Senior Manufacturing Engineer

Moxtek

Orem, UT • On-site

$83K - $103K/yr

Full-time

Re-posted 15 days ago


Job description

Position Purpose/Summary:
The Senior Manufacturing Engineer will be responsible for implementing statistical process control (SPC), statistical analysis, Lean Six Sigma principles, and process optimization to increase product quality and manufacturing efficiency. This role will focus on data-driven decision-making and continuous process improvements to support the development and sustainment of the X-ray Sources business unit in the final assembly and final test processes. The Senior Manufacturing Engineer will also mentor and develop junior engineers and technicians.
Essential Duties:
  • Utilize advanced knowledge to analyze manufacturing data to drive continuous improvement, reduce variability, and improve overall yield in the final assembly and final test process area.
  • Develop and implement Statistical Process Control (SPC) to monitor variation and changes in manufacturing equipment and processes.
  • Conduct root cause analysis (RCA) and process Failure Mode and Effects Analysis (pFMEA) to resolve production issues.
  • Work closely with the Quality and Manufacturing Engineering team to implement corrective and preventive actions (CAPA & 8D) based on data-driven insights and customer feedback.
  • Become a key contributor to Kaizen events, Value Stream Mapping (VSM), and standard work (SW) initiatives to drive waste reduction and efficiency.
  • Use JMP statistical software to access raw data, organize the data, and then produce graphs and charts that communicate manufacturing yields and identify areas to focus continuous improvement efforts.
  • Oversee the performance of processes and tests, then document the results of the process or test.
  • Use problem solving and decision making tools to analyze a situation or data, then determine the best course of action.
  • Develop, edit, and maintain standard work combination sheets (SW), process flow charts, and value stream maps (VSM).
  • Act as a subject matter expert (SME) on data analytics, statistics, and manufacturing process optimization.
  • Evaluate current processes and manufacturing systems to identify potential improvements, then be able to evaluate the return on investment (ROI) and risk associated with identified improvements.
  • Support the incoming quality assurance (IQA) team in resolving non-conforming report (NCR) action items and countermeasures.
  • Learn the basics of ultra-high vacuum (UHV) design and requirements, clean room operations, and machining technology.
  • Learn the basics of metal to ceramic brazing processes.
  • Learn the basics of electron X-ray optics and high voltage power supplies.
  • Other duties as assigned.

Key Competencies:
To perform the job successfully, an individual should demonstrate the following competencies to perform the essential functions of this position.
  • Change Agent: Is able to assess change risks, understands the interaction between departments, and how changes in specific areas of the business units can affect the entire production system. Considers changes, production issues, and new situations as opportunities for learning or growth.
  • Engineering Processes: Working knowledge of how their responsibilities and tasks performed (e.g., design, test, software, technology) contribute to the entire business unit value stream.
  • Motivation: Self-starter able to function with minimal supervision. Actively coordinates with other team members to proactively identify and resolve manufacturing quality issues.
  • Communication: Strong communication skills, both written and verbal.
  • Statistical Background: Strong understanding of various statistical tools and software.

Education and Experience:
  • B.S. or M.S. in engineering, statistics, or science related discipline (accredited university preferred).
  • 5+ years of experience in a manufacturing environment (X-ray tube manufacturing preferred).
  • Strong proficiency in statistical software (Minitab, JMP, R, or equivalent) for data analysis (required).
  • Lean Six Sigma Green Belt certification and/or lean manufacturing training (preferred).
  • Lean Six Sigma Black Belt certification (preferred)
  • DOE matrix creation and interpretation.
  • Proficient in MS Office. Specifically: Excel, Word, Visio, and Project.

Moxtek logo

About Moxtek

Sourced by ZipRecruiter

Industry

Nanotechnology research and development

Company size

201 - 500 Employees

Headquarters location

Orem, UT, US

Year founded

1986

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