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Research Data Analyst Two Jobs in Utah (NOW HIRING)

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 ...

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Bachelor's degree in Engineering, Data Science, Business Analytics, Computer Science, or a related field preferred; equivalent technical or industry experience will also be considered. * 2-5 years of ...

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Research Data Analyst Two information

What is the difference between Research Data Analyst Two vs Research Data Analyst One?

AspectResearch Data Analyst TwoResearch Data Analyst One
Required CredentialsBachelor's degree in data science, statistics, or related field; experience in data analysisBachelor's degree; entry-level experience in data analysis
Work EnvironmentResearch institutions, government agencies, or corporate research teamsSimilar environments, often in entry-level roles
Employer & Industry UsageUsed in research-focused roles across academia, government, and industryCommonly used for entry-level data analysis positions in similar sectors

The main difference between Research Data Analyst Two and Research Data Analyst One lies in experience level and responsibilities. Research Data Analyst Two typically requires more experience and handles more complex data projects, whereas Research Data Analyst One is an entry-level position. Both roles are common in research environments across various industries, with the 'Two' level indicating a higher skill set and responsibility.

What are popular job titles related to Research Data Analyst Two jobs in Utah?

For Research Data Analyst Two jobs in Utah, the most frequently searched job titles are:

What cities in Utah are hiring for Research Data Analyst Two jobs?

Cities in Utah with the most Research Data Analyst Two job openings:

Infographic showing various Research Data Analyst Two job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Analyst

Midvale, UT

$45 - $60/hr

Full-time

Posted 5 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.