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Full Time Data Analyst R Programming Jobs in Utah

Nuvia MSO LLC

Analytics Engineer

Salt Lake City, UT · On-site

$70K - $85K/yr

... Data Engineer, or Senior Data Analyst role. * Strong SQL skills -- writes clean, optimized queries with a solid understanding of how data warehouses execute them. * Python proficiency for data ...

Waystar

Data Scientist

Lehi, UT · On-site

... Storage Engineering. Incumbents whose focus is the quantitative analysis of complex business ... Demonstrated competency in R/Python predictive modeling * Demonstrated competency in RDBMS (e.g.

Pwc

Data Governance- Manager

Salt Lake City, UT

$99K - $232K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Bread Financial

Data Engineer

Draper, UT

$107K - $128.50K/yr

Demonstrates analytical, interpersonal and professional communication skills. Learns quickly and ... PySpark * Python (Programming Language) * React * Scala (Programming Language) * Spark SQL

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Pwc

Data Strategy-Senior Manager

Salt Lake City, UT · On-site

$124K - $280K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

University of Utah

Data Engineers

Salt Lake City, UT · On-site +1

$110.80K - $133.10K/yr

No Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary ... data analysts, and research teams to ensure our platforms evolve with the needs of scientific ...

KēSTA I.T.

Sr. Data Engineer

Draper, UT

$115K - $151K/yr

T. is actively seeking a Sr. Data Engineer for an immediate full-time opportunity with our industry ... Partner with data analysts and data scientists to enable insights, and develop production-grade ...

University of Utah

Data Engineers

Salt Lake City, UT · On-site

$99.86K - $124.28K/yr

No Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary ... data analysts, and research teams to ensure our platforms evolve with the needs of scientific ...

Diverse Lynx

Data Analyst / ETL Tester

Midvale, UT

$110K - $115K/yr

Fulltime Salary Range - $110,000 - $115,000 a year Must Have Technical/Functional Skills: * dvanced SQL experience; ability to build basic queries to profile and validate data. * Strong Knowledge and ...

First Electronic Bank

CECL Analyst

Salt Lake City, UT · On-site

Job Type Full-time Description At First Electronic Bank (FEB), we are driven by the purpose to make ... Proficiency in Excel; basic familiarity with SQL, R, Python, and data visualization tools.

nCino

Senior Data Scientist

Lehi, UT · On-site

$107.90K - $183.40K/yr

Your passion and advanced knowledge in data analysis, statistics, AI, and machine learning will be ... Demonstrated mastery of programming skills in Python or R * Experience with data visualization ...

nCino OpCo

Senior Data Scientist

Lehi, UT

$107.90K - $183.40K/yr

Your passion and advanced knowledge in data analysis, statistics, AI, and machine learning will be ... Demonstrated mastery of programming skills in Python or R * Experience with data visualization ...

Waystar

Data Scientist

Lehi, UT · On-site

Responsibilities : • Works closely with other Data Scientists, Application Engineering, Product ... and analytic technology within Healthcare, producing quantitative, justifiable results to guide ...

KēSTA I.T.

Data Engineer

Draper, UT

$100K - $114K/yr

T. is actively seeking a Data Engineer for an immediate full-time opportunity with our industry ... This position partners closely with analysts and data scientists to transform raw data into ...

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Full Time Data Analyst R Programming information

What is the difference between Full Time Data Analyst R Programming vs Data Scientist?

AspectFull Time Data Analyst R ProgrammingData Scientist
Required SkillsData analysis, R programming, SQL, ExcelData analysis, R/Python, machine learning, statistics
Work EnvironmentBusiness, finance, healthcare, corporate settingsResearch, tech companies, startups, academia
CertificationsData analysis, R certifications, SQL certificationsData science, machine learning, Python/R certifications

Full Time Data Analysts R Programming focus on analyzing data using R, often within business environments, while Data Scientists employ advanced statistical and machine learning techniques to extract insights, often working on complex models and algorithms. Both roles require strong analytical skills, but Data Scientists typically have a broader skill set including programming languages like Python and expertise in machine learning.

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Full Time Data Analyst R Programming jobs near you

Analytics Engineer

Nuvia MSO LLC

Salt Lake City, UT • On-site

$70K - $85K/yr

Full-time

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

Job description

Pay- $70,000-$85,000 per year

Role

The Analytics Engineer is responsible for transforming raw and intermediate data into clean, reliable, reporting-ready datasets that power business intelligence and AI-driven initiatives. This role owns the silver-to-gold data layer — designing and maintaining pipelines, data models, and reporting infrastructure that serve internal teams and stakeholders. The Analytics Engineer works closely with the data team and business customers to ensure data is accurate, well-documented, and structured for both dashboard delivery and AI enablement use cases.

Responsibilities

  • Build and maintain ETL pipelines moving data from silver to gold layers using Python, SQL, and Windmill.
  • Design and implement data models that serve reporting, dashboard, and AI enablement use cases.
  • Own and improve gold-layer data quality — including testing, validation, and documentation.
  • Translate business reporting requirements into reliable, performant data models.
  • Support internal AI initiatives by ensuring data is structured, consistent, and accessible for downstream AI consumption.
  • Collaborate with internal stakeholders to understand data needs and deliver accurate, timely datasets.
  • Support and contribute to our visualization layer (currently Zoho Analytics; additional tools possible).
  • Participate in code reviews and contribute to team data standards and best practices.
  • Monitor pipeline health and proactively address data issues after they impact downstream consumers.

Results

  • Reliable, well-tested gold-layer data models that power accurate reporting and dashboards for internal stakeholders.
  • ETL pipelines that run consistently and are easy to maintain, extend, and debug.
  • Data that is structured, clean, and AI-ready — enabling downstream AI and automation use cases.
  • Well-documented data assets that reduce dependency on tribal knowledge and accelerate onboarding.
  • Stakeholder confidence in data accuracy, reflected in active adoption of dashboards and data products.
  • Proactive identification and resolution of data quality issues after they reach end users.

Requirements

  • 2–4 years of experience in an Analytics Engineer, Data Engineer, or Senior Data Analyst role.
  • Strong SQL skills — writes clean, optimized queries with a solid understanding of how data warehouses execute them.
  • Python proficiency for data transformation and pipeline work.
  • Experience working within a layered data architecture (bronze/silver/gold or equivalent).
  • Familiarity with workflow orchestration tools (Windmill, Airflow, Prefect, or similar).
  • AWS experience (S3, Glue, Lambda, or similar services).
  • Solid understanding of data modeling concepts — dimensional modeling, grain, and slowly changing dimensions.
  • Strong documentation habits — writes for the next person, not just themselves.
  • Effective communication skills with the ability to translate technical concepts for non-technical stakeholders.

Nice to Have

  • Experience with dbt or similar transformation frameworks.
  • Exposure to Zoho Analytics or other BI/visualization platforms.
  • Familiarity with AI/ML workflows — understanding how clean, structured data feeds LLMs, RAG pipelines, or ML models.
  • Experience building data products with AI enablement in mind (feature stores, semantic layers, structured outputs for LLM consumption).
  • Experience in healthcare, dental, or services industries.