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Entry Level Data Analyst R Programming Jobs in California

Centraprise

Data Analyst

Santa Clara, CA · On-site

Advanced experience with a statistical programming language (Python or R) for in-depth data analysis, statistical modeling, and visualization (using libraries such as Pandas, NumPy, Matplotlib ...

Careerswift

Data Analyst

San Francisco, CA · Remote

Experience with Python or R. * Familiarity with data warehouses and analytics engineering. * Knowledge of experimentation, product analytics or forecasting. * Experience in tech or consumer platforms.

VSolvit

DATA ANALYST ENGINEER I

Norco, CA · On-site

$65K - $80K/yr

This entry-level role focuses on leveraging tools such as Power BI, Splunk, Tableau, and SharePoint ... Knowledge of scripting languages (Python, R, or similar) for advanced data processing and ...

Excelhire

Data Analyst

Los Angeles, CA

$32/hr

Data Analyst - Join Our Team Data Analyst Los Angeles, CA | Full-Time | CTC, W2 Job Summary We are ... Basic knowledge of Python or R (preferred) Skills * Primary skills: Excel, SQL, data visualization ...

Info Way Solutions

Senior Data Analyst

Fremont, CA · On-site

$94K - $119K/yr

... Engineering, Statistics, Data or Information Sciences, or related field AND 2-3 year of related experience • 2 years of experience using analytic tools (e.g., Python, SQL, SAS, R, Adobe, Alteryx ...

psudo

Bachelors or Masters in a quantitative field (such as Engineering, Statistics, Math, Economics, or ... Familiarity with R and statistical packages are preferred. * Proven problem solving and debugging ...

Emendata

Data Analyst

San Francisco, CA · On-site

About Us: At Emendata, we help bridge the gap between data and the real world. We partner with ... Programming: Basic to intermediate experience with Python, SQL, or R * Analysis: Exceptional ...

Emendata

Data Analyst

San Francisco, CA

About Us: At Emendata, we help bridge the gap between data and the real world. We partner with ... Programming: Basic to intermediate experience with Python, SQL, or R * Analysis: Exceptional ...

Booz Allen Hamilton

Data Analyst

San Diego, CA · On-site

$61K - $141K/yr

As data analyst, you love diving into data and turning it into meaningful insights. With the ... engineering in Databricks or Spark * 2+ years of experience with Python, R, or SQL for data ...

BOOZ, ALLEN & HAMILTON, INC.

Data Analyst

Escondido, CA · On-site

$61K - $141K/yr

Data Analyst The Opportunity: As data analyst, you love diving into data and turning it into ... engineering in Databricks or Spark * 2+ years of experience with Python, R, or SQL for data ...

BOOZ, ALLEN & HAMILTON, INC.

Data Analyst

San Diego, CA · On-site

$61K - $141K/yr

Data Analyst The Opportunity: As data analyst, you love diving into data and turning it into ... engineering in Databricks or Spark * 2+ years of experience with Python, R, or SQL for data ...

BOOZ, ALLEN & HAMILTON, INC.

Data Analyst

San Diego, CA · On-site

$61K - $141K/yr

Data Analyst The Opportunity: As data analyst, you love diving into data and turning it into ... engineering in Databricks or Spark * 2+ years of experience with Python, R, or SQL for data ...

BOOZ, ALLEN & HAMILTON, INC.

Data Analyst

San Diego, CA · On-site

$61K - $141K/yr

Data Analyst The Opportunity: As data analyst, you love diving into data and turning it into ... engineering in Databricks or Spark * 2+ years of experience with Python, R, or SQL for data ...

BOOZ, ALLEN & HAMILTON, INC.

Data Analyst

San Diego, CA · On-site

$61K - $141K/yr

Data Analyst The Opportunity: As data analyst, you love diving into data and turning it into ... engineering in Databricks or Spark * 2+ years of experience with Python, R, or SQL for data ...

BOOZ, ALLEN & HAMILTON, INC.

Data Analyst

San Diego, CA · On-site

$61K - $141K/yr

Data Analyst The Opportunity: As data analyst, you love diving into data and turning it into ... engineering in Databricks or Spark * 2+ years of experience with Python, R, or SQL for data ...

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Entry Level Data Analyst R Programming information

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 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.
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Entry Level Data Analyst R Programming jobs near you
Infographic showing various Entry Level Data Analyst R Programming job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Entry-Level Data Analyst (Fully Remote + Bonus)

CMH Forklift

Los Angeles, CA • Remote

$28.45 - $38.90/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

New

Job description

💼 Full-Time | Remote | Career Growth | Competitive Pay

Paid Training • Performance Bonuses • Professional Development • Benefits

Build Your Career in Data Analytics

Are you analytical, curious, and comfortable working with numbers and information? We're looking for a motivated Entry-Level Data Analyst to join our team and help turn everyday business data into useful insights.

This is an excellent opportunity for someone starting a career in data analytics, business operations, finance, customer insights, or reporting. Paid training is provided, so candidates who demonstrate strong analytical thinking, attention to detail, and a willingness to learn are encouraged to apply.

You'll work with spreadsheets, databases, reports, and business information while collaborating with different teams to help identify trends, improve processes, and support better business decisions.

Benefits Perks

  • Paid training and onboarding

  • Competitive compensation

  • Performance-based bonus opportunities

  • Paid Time Off (PTO)

  • Paid company holidays

  • Health, dental, and vision benefits for eligible employees

  • 401(k) retirement plan where applicable

  • Professional development opportunities

  • Employee recognition programs

  • Career advancement opportunities

What You'll Do

  • Collect, organize, and maintain business data from multiple sources.

  • Enter, verify, and clean data to ensure accuracy and consistency.

  • Analyze datasets to identify trends, patterns, and potential issues.

  • Prepare recurring reports, summaries, and dashboards.

  • Use Microsoft Excel and other business tools to organize and analyze information.

  • Track key performance indicators (KPIs) and operational metrics.

  • Assist with data quality checks and resolve discrepancies.

  • Support forecasting, reporting, and business-performance projects.

  • Work with internal teams to understand reporting requirements.

  • Present findings and observations in clear, easy-to-understand formats.

  • Maintain confidentiality when handling company and customer information.

  • Assist with other analytical and administrative projects as assigned.

Required

  • High school diploma or equivalent.

  • Strong attention to detail.

  • Comfortable working with numbers and information.

  • Good written and verbal communication skills.

  • Basic Microsoft Excel or spreadsheet knowledge.

  • Strong organizational and time-management skills.

  • Ability to learn new software and systems quickly.

  • Reliable, professional, and able to meet deadlines.

Preferred — Not Required

  • Associate's or Bachelor's degree in Data Analytics, Business, Finance, Statistics, Computer Science, Economics, or a related field.

  • Experience with Excel formulas, PivotTables, or data visualization.

  • Familiarity with SQL, Power BI, Tableau, or similar analytics tools.

  • Previous internship, administrative, customer service, finance, or data-entry experience.

Don't have every preferred qualification? Apply anyway. Training is provided.

Paid Training Development

Your training may include:

  • Data entry and data-quality procedures

  • Microsoft Excel and spreadsheet analysis

  • Reporting and dashboard fundamentals

  • CRM and ERP systems

  • Business intelligence fundamentals

  • KPI and performance reporting

  • Data privacy and confidentiality

  • Internal reporting procedures

  • Professional communication