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Entry Level Data Analyst R Programming Jobs in Sacramento, CA

Sutter Health

Analytics Engineer III

Sacramento, CA · Hybrid

$117K - $176K/yr

This position is a key independent contributor and member of the System Data & Analytics team in Digital. The Analytics Engineer 3 is responsible for the full lifecycle engineering of the department ...

Sutter Health

Analytics Engineer III

Sacramento, CA · On-site

$117K - $176K/yr

This position is a key independent contributor and member of the System Data & Analytics team in Digital. The Analytics Engineer 3 is responsible for the full lifecycle engineering of the department ...

R Systems, Inc.

IBM Maximo Consultant

Sacramento, CA · On-site

R Systems is a leading digital product engineering company that designs and develops chip-to-cloud ... cause analysis. * Data Management: Manage and maintain Maximo data, ensuring data integrity and ...

California Highway Patrol

LEAD ANALYST

Sacramento, CA · On-site

$8.6K - $11K/mo

This position requires leadership, expertise in the Software Engineering and Systems Engineering ... The Information Technology Specialist II will perform a wide variety of data analysis, reporting ...

Community Link

Senior I R Specialist

Sacramento, CA

$23 - $24/hr

The Senior I&R Specialist will also perform data entry operations. ESSENTIAL DUTIES ... Reading Comprehension and Analytical skills. Must be familiar and comfortable operating multiple ...

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Entry Level Data Analyst R Programming information

See Sacramento, CA salary details

$14

$35

$65

How much do entry level data analyst r programming jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for entry level data analyst r programming in Sacramento, CA is $35.11, according to ZipRecruiter salary data. Most workers in this role earn between $22.55 and $39.23 per hour, depending on experience, location, and employer.

What is an entry level data analyst r programming?

An Entry Level Data Analyst (R Programming) is a professional who uses the R programming language to collect, process, and analyze data to help organizations make informed decisions. They typically work with large datasets, create visualizations, and generate reports under the guidance of more experienced analysts. Entry-level data analysts are often responsible for basic data cleaning, statistical analysis, and supporting team projects while they develop their skills in R and data analysis techniques.

What skills and qualifications are needed to thrive as an entry level data analyst r programming?

To thrive as an Entry Level Data Analyst specializing in R Programming, you need a solid grounding in statistics, data cleaning, and analytical methods, typically supported by a relevant degree such as statistics, mathematics, or computer science. Proficiency in R programming, familiarity with data visualization tools (e.g., ggplot2), and experience with spreadsheet software or SQL are commonly required. Strong attention to detail, problem-solving abilities, and clear communication skills set outstanding candidates apart in this role. These skills are crucial to accurately interpret data, deliver actionable insights, and effectively collaborate with teams to support data-driven decision-making.

What are some typical challenges entry level data analysts face when working with R programming in a team setting?

Entry-level data analysts using R often encounter challenges such as adapting to existing codebases, understanding team-specific data workflows, and ensuring code reproducibility and documentation for collaborative projects. New analysts may also need to quickly learn version control practices (like using Git) and follow standardized procedures for data cleaning and reporting. Regular communication with senior analysts and participation in code reviews are essential to build both technical proficiency and teamwork skills.

What is the difference between Entry Level Data Analyst R Programming vs Data Scientist?

AspectEntry Level Data Analyst R ProgrammingData Scientist
Required SkillsBasic R programming, data cleaning, visualization, ExcelAdvanced R, Python, machine learning, statistical modeling
Work EnvironmentBusiness, finance, marketing teamsResearch, tech, healthcare, diverse industries
CertificationsData analysis, R programming coursesData science, machine learning certifications

Entry Level Data Analyst R Programming roles focus on data cleaning, visualization, and basic analysis using R, often within business environments. Data Scientists require advanced statistical and programming skills, including machine learning, and work on complex predictive models across various industries. While both roles involve data handling, Data Scientists typically have a broader skill set and handle more complex projects.

What are the most commonly searched types of Data Analyst R Programming jobs in Sacramento, CA?

The most popular types of Data Analyst R Programming jobs in Sacramento, CA are:

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For Entry Level Data Analyst R Programming jobs in Sacramento, CA, the most frequently searched job titles are:

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Cities near Sacramento, CA with the most Entry Level Data Analyst R Programming job openings:

Entry Level Data Analyst R Programming jobs near you
Infographic showing various Entry Level Data Analyst R Programming job openings in Sacramento, CA as of July 2026, with employment types broken down into 87% Full Time, 8% Part Time, 1% Temporary, and 4% Contract. Highlights an 86% Physical, 6% Hybrid, and 8% Remote job distribution, with an average salary of $73,029 per year, or $35.1 per hour.

Analytics Engineer III

Sutter Health

Sacramento, CA • Hybrid

$117K - $176K/yr

Full-time

Re-posted 6 days ago

Sutter Health rating

8.2

Company rating: 8.2 out of 10

Based on 327 frontline employees who took The Breakroom Quiz

55th of 891 rated healthcare providers

Job description

We are so glad you are interested in joining Sutter Health!

Organization:

SHSO-Sutter Health System Office-Valley

Position Overview:

* REQUIRES 2 DAYS IN OFFICE IN SACRAMENTO.
The Analytics Engineer 3 is a specialized mid level technical professional who exercises independent judgment to architect, engineer, and govern the enterprise "Semantic Layer." Unlike a report builder, this role acts as a "Logic Architect," designing the reusable data models, security frameworks, and metric definitions that serve as the Single Source of Truth for the organization.
This position is a key independent contributor and member of the System Data & Analytics team in Digital. The Analytics Engineer 3 is responsible for the full lifecycle engineering of the department's semantic infrastructure. This role requires the exercise of discretion to determine the appropriate modeling strategy-choosing between Import, DirectQuery, or Direct Lake modes-to balance performance with data freshness. The ideal candidate moves fluidly between managing legacy SSAS partitions and architecting modern Microsoft Fabric semantic models using engineering tools like Tabular Editor and ALM Toolkit. This role operates with minimal oversight, defining the governance and security logic for their domain.

Job Description:

JOB ACCOUNTABILITIES:

  • Logic Architecture: Exercises independent judgment to architect comprehensive semantic models. Decides where business logic should live to maximize reusability and performance.
  • Hybrid Modeling: Independently manages the hybrid semantic estate: optimizing legacy models while engineering the migration to direct lake datasets.
  • Security Engineering: Designs and implements complex security frameworks to ensure HIPAA compliance without creating siloed reports.
  • Performance Optimization: Engineers high-performance models by managing the engine. Analyzes compression ratios, cardinality, and query plans in data analysis expressions (DAX) studio to reduce memory footprint and latency.
  • Analytics-as-Code: Implements software engineering best practices for models, managing metadata via code, version control, and pipelines.
  • Metric Governance: Defines and implements "calculation groups" to standardize time-intelligence logic across hundreds of metrics, preventing logic drift.
  • Mentorship: Formally mentors junior and associate engineers on dimensional modeling standards and advanced DAX patterns.

EDUCATION:

Equivalent experience will be accepted in lieu of the required degree or diploma

  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field

CERTIFICATION & LICENSURE:

  • Epic Cogito Certification within one year of start date.
  • Microsoft Certified: Fabric Analytics Engineer Associate (DP-600) within one year of start date.

TYPICAL EXPERIENCE:

  • 6 years of progressive experience in analytics engineering, business intelligence architecture, or semantic modeling.
  • Experience independently architecting enterprise-grade data models.
  • Experience managing the application lifecycle management of tabular models.

SKILLS AND KNOWLEDGE:

  • Strong proficiency in Advanced DAX and SQL.
  • Languages: Expert SQL; Advanced DAX.
  • Tools: Deep proficiency in Tabular Editor (2 or 3), DAX Studio, ALM Toolkit, and Power BI Service.
  • Architecture: Expert knowledge of Dimensional Modeling (Star Schema) and Composite Models.
  • Engineering: Experience with CI/CD pipelines for semantic models and Git integration.
  • Concepts: Deep understanding of the VertiPaq engine (compression, encoding, materialization).

Job Shift:

Days

Schedule:

Full Time

Days of the Week:

Monday - Friday

Weekend Requirements:

As Needed

Benefits:

Yes

Unions:

No

Position Status:

Exempt

Weekly Hours:

40

Employee Status:

Regular

Sutter Health is an equal opportunity employer EOE/M/F/Disability/Veterans.

Pay Range is $117,436.80 to $176,155.20 / annual salary

The compensation range may vary based on the geographic location where the position is filled. Total compensation considers multiple factors, including, but not limited to a candidate's experience, education, skills, licensure, certifications, departmental equity, training, and organizational needs. Base pay is only one component of Sutter Health's comprehensive total rewards program. Eligible positions also include a comprehensive benefits package.

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