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Entry Level Data Analyst R Programming Jobs in California

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 ...

Data Analyst

San Diego, CA · On-site

$61K - $141K/yr

Knowledge of data science skillsets, including Pandas, Polars, Scikit-learn, Pytorch, Tensorflow, and R * Knowledge of AI engineering * Possession of strong analytical, problem-solving, and critical ...

Sceye is seeking a detail-oriented Data Analyst to support flight test, engineering, and business ... Proficiency in SQL and at least one analysis/scripting language such as Python or R. * Experience ...

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 ...

Data Analyst

San Diego, CA · On-site

$61K - $141K/yr

Knowledge of data science skillsets, including Pandas, Polars, Scikit-learn, Pytorch, Tensorflow, and R * Knowledge of AI engineering * Possession of strong analytical, problem-solving, and critical ...

Knowledge of data science skillsets, including Pandas, Polars, Scikit-learn, Pytorch, Tensorflow, and R * Knowledge of AI engineering * Possession ofstrong analytical, problem-solving, and critical ...

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 ...

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 ...

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 ...

Data Analyst

San Diego, CA · On-site

$61K - $141K/yr

You Have: * 2+ years of experience with data engineering in Databricks or Spark * 2+ years of experience with Python, R, or SQL for data manipulation and analysis * 2+ years of experience performing ...

Data Analyst

San Diego, CA · On-site

$61K - $141K/yr

You Have: * 2+ years of experience with data engineering in Databricks or Spark * 2+ years of experiencewith Python, R, or SQL for data manipulation and analysis * 2+ years of experience performing ...

Data Analyst

Los Angeles, CA · On-site

$85K - $105K/yr

Safety and security is at the heart of our advanced engineering that allows us to design, build and ... Familiarity with SQL or scripting languages (Python, R) for data extraction and transformation.

Junior Data Analyst

Los Angeles, CA · On-site +1

$26 - $37/hr

Experience in an engineering or consulting environment is a plus. * Skills: * Proficiency in data analysis tools and software (e.g., Excel, SQL, Python, R). * Experience with data visualization tools ...

At Verdantas, we're redefining environmental consulting and sustainable engineering through our use ... Python, R, or similar tools is a plus Ability to clearly communicate findings and work ...

At Verdantas, we're redefining environmental consulting and sustainable engineering through our use ... Python, R, or similar tools is a plus • Ability to clearly communicate findings and work ...

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Entry Level Data Analyst R Programming information

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 California?

The most popular types of Data Analyst R Programming jobs in California are:

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

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

What job categories do people searching Entry Level Data Analyst R Programming jobs in California look for?

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

What cities in California are hiring for Entry Level Data Analyst R Programming jobs?

Cities in California with the most Entry Level Data Analyst R Programming job openings:

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, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Data Analyst

Santa Clara, CA • On-site

Centraprise
IT Services • 51 - 200 employees

Full-time

Re-posted 7 days ago


Job description

• Analyze complex datasets (creative, targeting, performance, user experience) to refine criteria.
• Develop, propose, and justify new metrics for ad relevance, quality, and user satisfaction, incorporating rater feedback.
• Conduct data quality assessment on labeled sets to identify biases and refine the framework/training.
• Collaborate with Data Science/Engineering to prototype, validate, and launch new rating components impacting ML models.
• Data Analysis & Insights Analyze rating data and platform metrics to find trends, anomalies, and drivers of ad relevance/engagement.
Qualifications
Experience in a Data Analyst, Business Intelligence, or similar quantitative role.
Strong focus on advertising data, AdTech, or digital media content evaluation. Expert proficiency in SQL for complex data extraction, manipulation, and performance optimization.
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/Seaborn).
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