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

KēSTA I.T.

Data Analyst

Midvale, UT

$45 - $60/hr

Data Analyst - Data Integration & Enablement Location: Salt Lake City, UT Job Type: Contract Experience: 2+ years Education: Bachelor's degree preferred Job Summary Our client is seeking a Data ...

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 Marketing activation practice. This practice integrates CRM platform expertise, journey management ...

Omnicom

Data Analyst

Salt Lake City, UT · Hybrid

Data and Analytics Job Subfunction: Data Science and Analytics MRM is part of theOmnicomPrecision Marketing activation practice.This practice integrates CRM platform expertise, journey management ...

Navtech, Inc.

Data Analyst

Salt Lake City, UT · On-site

Data Analyst Location : Salt Lake City/UT Duration : 12 Months Contract : Requirements : * Degree - Candidate must possess a bachelor's degree from an accredited college in Computer Science ...

Young Living Essential Oils

Data Analyst

Lehi, UT · On-site

The Data Analyst independently analyzes diverse data sets to identify trends, deliver insights, and guide strategic business decisions. This mid-level role collaborates across departments, develops ...

Collabera

Data Analyst

Salt Lake City, UT · Hybrid

Assists in the analysis of underlying issues arising from investigations into requirements. Assists the project team in the completion of project-related documentation. Recommended Experience ...

Utah Community Credit Union

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 ...

Lightspeed DMS

Data Analyst - API

South Jordan, UT · On-site

We are seeking a Data Analyst - API to maintain the API-based data integrations that connect Lightspeed's DMS platform with OEMs, aftermarket manufacturers, and internal teams. This individual will ...

Lightspeed DMS

Data Analyst - API

South Jordan, UT

We are seeking a Data Analyst - API to maintain the API-based data integrations that connect Lightspeed's DMS platform with OEMs, aftermarket manufacturers, and internal teams. This individual will ...

Lightspeed DMS

Data Analyst - API

South Jordan, UT · On-site

We are seeking a Data Analyst - API to maintain the API-based data integrations that connect Lightspeed's DMS platform with OEMs, aftermarket manufacturers, and internal teams. This individual will ...

Professional Recruiters

Be Seen First

Technical Data Analyst

Salt Lake City, UT · On-site

$77K - $100K/yr

Position Summary We are seeking a detail-oriented and technically skilled Production Engineer / Technician to support oil and gas production operations through data analysis, reporting, system ...

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All JobsData Analyst JobsJunior Data Analyst JobsJunior Data Analyst Jobs in Draper, UT

Junior Data Analyst information

See Draper, UT salary details

$32.3K

$74.2K

$119.2K

How much do junior data analyst jobs pay per year?

As of Aug 31, 2026, the average yearly pay for junior data analyst in Draper, UT is $74,182.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,300.00 and $76,200.00 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.
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Junior Data Analyst jobs near you
Infographic showing various Junior Data Analyst job openings in Draper, UT as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 24% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $74,182 per year, or $35.7 per hour.

Data Analyst

Midvale, UT

KēSTA I.T.
See more jobs at KēSTA I.T.external

$45 - $60/hr

Full-time

Posted 4 days ago

Job description

Data Analyst – Data Integration & Enablement

Location: Salt Lake City, UT

Job Type: Contract

Experience: 2+ years

Education: Bachelor’s degree preferred

Job Summary

Our client is seeking a Data Analyst to support data integration and enablement initiatives. This role will help build and maintain the data foundation supporting regulatory and financial reporting, analytics, and other business initiatives.

The Data Analyst will work with both business and technology teams to gather requirements, profile source systems, design data flows, document metadata and transformation logic, develop test cases, and validate data quality.

The role will work with data across modern platforms including Enterprise Data Warehouse, Data Lake, Data Mesh, and Operational Data Store (ODS) environments.

Responsibilities

  • Gather and translate business requirements into data solutions.
  • Partner with business and technology stakeholders to understand data requirements.
  • Profile source systems and understand underlying data models.
  • Design efficient data integrations and data flows.
  • Document metadata, transformation rules, and data lineage.
  • Develop and execute test cases to validate data quality and integrity.
  • Build and maintain automated processes for data validation and reporting.
  • Validate data accuracy, completeness, and usability.
  • Collaborate with end users to ensure delivered data meets business requirements.
  • Support data integration and enablement initiatives across the organization.

Required Qualifications

  • 2+ years of experience in data analysis, data integration, or a related field.
  • Strong SQL skills, including data profiling, transformation, testing, and validation.
  • Experience with Python.
  • Experience gathering requirements and working directly with business stakeholders.
  • Strong analytical and problem-solving skills.
  • Strong written and verbal communication skills.
  • Experience documenting technical processes, data requirements, and transformation logic.
  • Bachelor’s degree in data, analytics, business, computer science, or a related field.
  • Demonstrated experience providing project leadership or mentoring others.

Preferred Qualifications

  • Experience with modern data stack technologies such as dbt, Databricks, and GCP.
  • Familiarity with Enterprise Data Warehouse, Data Lake, Data Mesh, or ODS environments.
  • Understanding of data governance, metadata, data lineage, and data quality practices.
  • Familiarity with AI concepts and prompt engineering.

Technical Skills

  • Advanced SQL
  • Python
  • dbt
  • Databricks
  • Google Cloud Platform (GCP)
  • Data profiling and validation
  • Data transformation
  • Data quality testing
  • Data integration
  • Data lineage and metadata

Education and experience may be considered in combination to meet the requirements of the position.