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Entry Level Data Analyst R Programming Jobs in Sacramento, CA

Vscore Inc.

Data Analyst

Sacramento, CA · On-site

$80 - $100/hr

Using data mining to extract information from data sets and identify correlations and patterns ... Familiarity with Python, R, or other statistical analysis tools for predictive modeling and trend ...

Lonza

MSAT Scientist - Data Analyst

Vacaville, CA · On-site

$95K - $158K/yr

MSAT Scientist - Data Analyst will support the development and deployment of advanced data products ... engineering field. * Strongproficiencyin Python, R, SQL, and data visualization tools (Power BI ...

MMC Group

Reports and Data Analyst

Folsom, CA

... as well as application/BI developers and IT staff. Job Responsibilities : * Develop expert ... Support data analytics through the monitoring and analyses of forecasts for call center and ...

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 ...

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

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:

What are popular job titles related to Entry Level Data Analyst R Programming jobs in Sacramento, CA?

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

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The top searched job categories for Entry Level Data Analyst R Programming jobs in Sacramento, CA are:

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.

Data Analyst

Vscore Inc.

Sacramento, CA • On-site

$80 - $100/hr

Other

Posted 5 days ago

Job description

Opportunity Details

Job Location: SACRAMENTO, CA

Key Responsibilities:
  • Using data mining to extract information from data sets and identify correlations and patterns.
  • Design, develop, and maintain the data models and create logical representations of data entities, defining their attributes, relationships, and dependencies.
  • Analyse and optimize the data model architecture to ensure scalability, performance, and data integrity.
  • Organising and transforming information into comprehensible structures.
  • Using data to predict trends and perform statistical analysis of data.
  • Using tools and techniques to visualize data in easy-to-understand formats, such as diagrams and graphs.
  • Preparing reports and presenting these to management or clients.
  • Monitoring data quality and removing corrupt data.
  • Communicating with stakeholders to understand data content and business requirements.
Qualifications:
  • 5+ years of experience in data analysis, data modeling, or business intelligence, with proven ability to extract, analyze, and interpret complex datasets.
  • Strong knowledge of data modeling concepts — including logical and physical data models, entity-relationship design, and data normalization.
  • Proficiency in SQL and experience with data mining and ETL (Extract, Transform, Load) processes.
  • Hands‑on experience with data visualization tools such as Power BI, Tableau, or Looker, and ability to communicate insights effectively through charts and dashboards.
  • Familiarity with Python, R, or other statistical analysis tools for predictive modeling and trend forecasting.
  • Understanding of database management systems (DBMS) such as Oracle, MySQL, PostgreSQL, or Snowflake.
  • Experience optimizing data architecture for performance, scalability, and data integrity.
  • Strong attention to detail, analytical thinking, and problem‑solving skills.
  • Excellent communication and presentation skills for translating technical insights into actionable business recommendations.
Why Join Us:
  • We believe in nurturing talent — offering continuous learning, mentorship, and opportunities to advance your career.
  • Contribute to meaningful and challenging projects that make an impact and encourage creativity and problem‑solving.
  • Competitive compensation and benefits package.
Apply Now:

Be part of a team that values innovation, collaboration, and excellence. Share your resume with us at recruit@vscoreinc.com

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