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

Data Engineer

Provo, UT · On-site

$108K - $130K/yr

... Mentor junior data engineers and analysts, providing technical guidance and code reviews • Drive adoption of DataOps practices, including CI/CD for data pipelines, version control, and ...

We are hiring a Principal Analyst Data Manager to work onsite in Tucson, Arizona. What You Will Do * Identifies all data deliverables made part of a contract * Builds a data track in a Product Data ...

We are hiring a Principal Analyst Data Manager to work onsite in Tucson, Arizona. What You Will Do * Identifies all data deliverables made part of a contract * Builds a data track in a Product Data ...

We are hiring a Principal Analyst Data Manager to work onsite in Tucson, Arizona. What You Will Do * Identifies all data deliverables made part of a contract * Builds a data track in a Product Data ...

Staff Data Engineer ( Seattle/Provo Hybrid)

Provo, UT · On-site

$108K - $130K/yr

Company Description Press Ganey is the leading experience measurement, data analytics, and insights ... Mentor junior engineers and contribute to establishingengineering best practices. * SupportCI/CD ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development priorities for Wdesk after gathering market data * Analyze use of Wdesk by current customers in the EU ...

New

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development priorities for Wdesk after gathering market data * Analyze use of Wdesk by current customers in the EU ...

New

Data Center Repair Manager

Eagle Mountain, UT · On-site

$163K/yr

Maintain and update documentation for incident resolution, root cause analysis, and repair ... Provide technical leadership and mentorship to junior technicians, ensuring adherence to best ...

Data Center Repair Manager

Eagle Mountain, UT · On-site

$163K/yr

Maintain and update documentation for incident resolution, root cause analysis, and repair ... Provide technical leadership and mentorship to junior technicians, ensuring adherence to best ...

Data Center Repair Manager

Eagle Mountain, UT · On-site

$163K/yr

Maintain and update documentation for incident resolution, root cause analysis, and repair ... Provide technical leadership and mentorship to junior technicians, ensuring adherence to best ...

Data Center Repair Manager

Eagle Mountain, UT · On-site

$163K/yr

Maintain and update documentation for incident resolution, root cause analysis, and repair ... Provide technical leadership and mentorship to junior technicians, ensuring adherence to best ...

Data Analysis and Improvement: * Analyze historical data and project performance to improve future ... Mentor and guide junior estimators. * Provide training and development opportunities for the ...

Data Analysis and Improvement: * Analyze historical data and project performance to improve future ... Mentor and guide junior estimators. * Provide training and development opportunities for the ...

X-Ray Tubes Senior Manufacturing Engineer

Orem, UT · On-site

$79K - $108K/yr

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 ...

X-ray Tubes Senior Manufacturing Engineer

Orem, UT · On-site

$79K - $108K/yr

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 ...

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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.

$108K - $130K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

The Data Engineer will own the design, development, and optimization of the data infrastructure that underpins analytics, reporting, and machine learning initiatives across the credit union. Working closely with business intelligence analysts, compliance teams, and technology leadership, this role requires both technical depth and the ability to translate complex data challenges into reliable, scalable solutions within a regulated financial environment.

ESSENTIAL FUNCTIONS AND BASIC DUTIES

• Architect, build, and maintain robust ETL/ELT pipelines to integrate data from core banking systems, lending platforms, digital banking channels, and third-party vendors

• Design and manage the credit union’s data warehouse and data lake, including schema design, partitioning strategies, and performance optimization

• Develop and enforce data quality frameworks, including automated testing, validation rules, and alerting for pipeline anomalies

• Lead the implementation of data modeling best practices (dimensional modeling, data vault, or similar) to support scalable analytics

• Collaborate with data analysts, compliance officers, and business stakeholders to define data requirements and deliver trusted data products

• Manage orchestration and scheduling of data workflows using tools such as Matillion, Snowflake, or equivalent

• Evaluate, implement, and maintain cloud data infrastructure on Snowflake or Azure, including compute, storage, and networking resources

• Ensure all data processes comply with applicable regulations, including NCUA guidelines, BSA/AML requirements, and GLBA data privacy standards

• Partner with the IT security team to enforce data access controls, encryption standards, and audit logging

• Mentor junior data engineers and analysts, providing technical guidance and code reviews

• Drive adoption of DataOps practices, including CI/CD for data pipelines, version control, and documentation standards

• Support data migration efforts during platform transitions, core system upgrades, or mergers and acquisitions

• Works a regular and predictable schedule. 

QUALIFICATIONS

REQUIRED QUALIFICATIONS

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field (or equivalent professional experience)

• 3–5 years of hands-on experience in data engineering, data infrastructure, or a closely related role

• Advanced proficiency in SQL and experience with large-scale relational and columnar databases (e.g., PostgreSQL, Redshift, Snowflake, BigQuery)

• Strong Python skills for data pipeline development and automation

• Demonstrated experience designing and maintaining ETL/ELT workflows using tools such as dbt or Matillion

• Working knowledge of at least one major cloud platform (Snowflake, AWS, Azure, or GCP) and associated data services

• Solid understanding of data warehousing concepts including dimensional modeling and schema design

• Experience implementing data quality monitoring, lineage tracking, and observability practices

• Strong communication skills with the ability to work effectively across technical and non-technical audiences

PREFERRED QUALIFICATIONS

• Experience in a regulated financial services environment such as credit unions, banks, or fintech companies

• Familiarity with credit union core banking platforms such as Symitar (Episys), Jack Henry, or FiServ

• Knowledge of data governance frameworks, or master data management

• Exposure to machine learning pipelines and feature engineering for predictive models

• Experience with BI platforms such as Power BI, Tableau, or Looker

• Relevant certifications such as AWS Certified Data Analytics, Snowflake SnowPro, or dbt Certified Developer

• Familiarity with NCUA examination processes or financial regulatory reporting (e.g., HMDA, Call Report data)