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Entry Level Data Analyst R Programming Jobs in Sacramento, CA

Amentum

Data Handling

Roseville, CA · On-site

$60K - $90K/yr

Amentum is seeking a Resource Control Analyst for the Space Force Range Contract Typical Duties ... Functional understanding of the WR Range launch requirements, maintenance planning and engineering ...

Pwc

AI & GenAI Data Scientist - Manager

Sacramento, CA · On-site

$99K - $232K/yr

... data analysis and integration to support AI-driven initiatives - Utilizing programming languages ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Accenture

Data Protection, A/SA-Evergreen

Sacramento, CA · On-site

$84K - $100K/yr

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

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Entry Level Data Analyst R Programming information

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

As of Sep 13, 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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What cities near Sacramento, CA are hiring for Entry Level Data Analyst R Programming jobs?

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.

Advisor Data Analyst-Remote

Sacramento, CA • On-site, Remote

NAVA Software Solutions
IT Services • 51 - 200 employees
Learn more about NAVA Software Solutionsexternal

Full-time

Re-posted 12 days ago

Job description

NAVA Software solutions is looking for an Advisor Data Analyst
Details:
Role: Advisor Data Analyst - 8 Positions.
Location: Sacramento, CA - Remote
Duration: 12 months
Summary: This is a key role within the Population Health Management (PHM) project. The role will develop and maintain ad-hoc reports and dashboards, and design, develop, and validate analytics and delivery documentation to support the PHM Service. The ideal candidate has experience with population health management and in Healthcare Effectiveness Data and Information Set, Health Quality, and other relevant areas.
Your role in our mission
• Designs, implements and maintains complex databases, access methods, access time, validation checks, organization, protection and security, documentation, and statistical methods to ensure that client requirements are satisfied.
• Reviews and edits data requirements and documents according to required standards by utilizing prescribed tools and methods to ensure that design and implementation are according to company guidelines and client specifications.
• Provides overall monitoring of standards and procedures and suggests revisions when necessary to ensure updated guidelines to meet changing market demands and consistency across databases.
• Applies data analysis or data modeling techniques to establish, modify or maintain complex data structures and their associated components to increase efficiency of structures and components.
• Investigates and resolves technical matters of significance within databases by analyzing and determining possible causes to ensure client satisfaction.
• Provides work direction and guidance to less experienced personnel using the data structures and associated components to ensure that business specifications are met.
• Provides training in data modeling techniques and incorporating data modeling into information systems to ensure consistency in development and maintenance of database structures across the company.
• Research business objectives and data requirements of client to ensure that developed databases meet client needs.
• Communicates with clients about data-related discrepancies and other matters of significance to ascertain information and correct errors.
What we're looking for
• Bachelor's degree or equivalent combination of education and experience.
• Bachelor's degree in information systems, computer science or related field preferred
• Six or more years of experience in programming or data analysis.
• Experience working with data administration, repository management, database creation techniques, and data warehousing standards, strategies, and tools.
• Experience in HEDIS, Health Quality, PHM, and other relevant areas
• Collect, analyze, and report on HEDIS data from various sources, including claims, medical records, and electronic health records.
• Stay up to date on changes to HEDIS specifications and ensure compliance with reporting requirements.
• Experience working with company used database and statistical software and product configurations.
• Experience working with security software packages, domain structures, user authentication and digital signatures.
• Experience working with relevant programming languages and relational databases for database management and general software development.
• Proficiency in data analysis tools such as SQL, Python, R, or similar languages. Experience with data visualization tools (e.g., Tableau, Power BI).
• Experience with configuring and installing various operating systems and application software.
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About NAVA Software Solutions

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NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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