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Afternoon Data Analyst R Programming Jobs in California

Collabera

Lead Datawarehouse /Big Data

Torrance, CA · On-site

Java, Linux, Apache, Perl/Python), especially the R programing. * Experience with Hadoop Security ... Predictive analytics experience is a PLUS Requirements: * Past work experience on h/w, s/w configs ...

1 point system

Data Analyst

Sunnyvale, CA · On-site

... engineering roadmaps. • Advanced proficiency in SQL, with experience working on cloud data platforms (e.g., BigQuery, Redshift, Snowflake). • Strong experience with Python or R for data analysis ...

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 ...

Air Apps

Data Analyst

San Francisco, CA · On-site

$104K - $184K/yr

Work with SQL, Python, or R to extract, analyze, and manipulate data. * Collaborate with product managers, engineers, and marketing teams to provide data-driven insights . * Conduct A/B testing and ...

BOOZ, ALLEN & HAMILTON, INC.

Data Analyst

Jamul, CA

$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 ...

BOOZ, ALLEN & HAMILTON, INC.

Data Analyst

San Diego, CA

$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 ...

BOOZ, ALLEN & HAMILTON, INC.

Data Analyst

San Diego, CA

$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 ...

BOOZ, ALLEN & HAMILTON, INC.

Data Analyst

El Cajon, CA

$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 ...

BOOZ, ALLEN & HAMILTON, INC.

Data Analyst

Del Mar, CA

$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 ...

BOOZ, ALLEN & HAMILTON, INC.

Data Analyst

Encinitas, CA

$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 ...

Booz Allen Hamilton, Inc.

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 ...

Booz Allen Hamilton, Inc.

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 ...

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 ...

BOOZ, ALLEN & HAMILTON, INC.

Data Analyst

San Diego, CA

$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 ...

BOOZ, ALLEN & HAMILTON, INC.

Data Analyst

San Diego, CA

$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 ...

BOOZ, ALLEN & HAMILTON, INC.

Data Analyst

San Diego, CA

$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 ...

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Afternoon Data Analyst R Programming information

What is an Afternoon Data Analyst R Programming?

An Afternoon Data Analyst specializing in R Programming is a data professional who primarily works afternoon shifts and uses the R programming language to analyze, interpret, and visualize data. Their responsibilities typically include cleaning data, performing statistical analyses, and generating reports to support business decisions. They may work across various industries, collaborating with teams to provide insights and automate data processes using R. Afternoon shifts can be ideal for organizations that operate globally or require data support outside standard business hours. Proficiency in R, statistical techniques, and data visualization tools are essential skills for this role.

What are some common challenges faced by Afternoon Data Analysts working with R Programming, and how can they be addressed?

Afternoon Data Analysts using R Programming often encounter challenges such as handling large datasets efficiently, ensuring code reproducibility, and collaborating with team members across different shifts. To address these, it's helpful to utilize R packages designed for big data (like data.table or dplyr), maintain clear and well-documented scripts, and use version control systems like Git for seamless collaboration. Regular communication with team members during shift handovers and leveraging collaborative tools can also enhance workflow and reduce misunderstandings.

What is the difference between Afternoon Data Analyst R Programming vs Morning Data Analyst R Programming?

AspectAfternoon Data Analyst R ProgrammingMorning Data Analyst R Programming
Required CredentialsBachelor's in Data Science, Statistics, or related field; R programming skillsBachelor's in Data Science, Statistics, or related field; R programming skills
Work EnvironmentTypically in office settings, working during afternoon hoursOffice environment, working during morning hours
Employer & Industry UsageUsed in industries with shift-based operations like finance, healthcareCommon in similar industries, often with flexible scheduling
Search & Comparison IntentPeople comparing different shift roles or schedules in data analysisSimilar search intent focusing on shift timing differences

The main difference between Afternoon Data Analyst R Programming and Morning Data Analyst R Programming lies in their work hours. Both roles require similar skills, credentials, and are used in comparable industries. The choice depends on personal schedule preferences and employer shift structures.

What are the key skills and qualifications needed to thrive as an Afternoon Data Analyst specializing in R Programming, and why are they important?

To thrive as an Afternoon Data Analyst specializing in R Programming, you need a strong background in statistics, data analysis, and proficiency with R, often supported by a degree in a quantitative field. Experience with data visualization tools, R packages (like tidyverse), and familiarity with databases or version control systems (such as Git) is typically required. Critical thinking, attention to detail, and effective communication are essential soft skills for interpreting results and presenting insights to stakeholders. These skills ensure accurate data-driven decisions, efficient workflow, and the ability to translate complex data into actionable business strategies.
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 Afternoon Data Analyst R Programming jobs in California? For Afternoon Data Analyst R Programming jobs in California, the most frequently searched job titles are:
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What cities in California are hiring for Afternoon Data Analyst R Programming jobs? Cities in California with the most Afternoon Data Analyst R Programming job openings:
Afternoon Data Analyst R Programming jobs near you

Data Analyst

Purple Drive Technologies

Mountain View, CA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Overview:
Job Description - Data Analyst
Responsibilities
  • Analyze complex datasets delivered through Databricks/Spark pipelines to extract actionable business insights.
  • Write efficient SQL queries to retrieve, manipulate, and validate data across large relational and distributed systems.
  • Develop and maintain dashboards, reports, and visualizations (Power BI, Tableau, or similar) to communicate findings to stakeholders.
  • Collaborate with Data Engineers to ensure data quality, consistency, and accuracy in the pipelines.
  • Work with business teams and data scientists to translate requirements into data-driven solutions.
  • Perform ad-hoc analysis, data validation, and statistical exploration to support decision-making.
  • Document data sources, definitions, and business logic for transparency and reusability.
Required Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Statistics, or a related field.
  • 10+ years of experience as a Data Analyst (or similar role).
  • Strong proficiency in SQL (complex queries, joins, aggregations, window functions).
  • Experience with data visualization tools (Tableau, Power BI, Looker, etc.).
  • Solid analytical skills with ability to work with large datasets and translate data into insights.
  • Familiarity with Python (Pandas, NumPy) or R for statistical analysis.
  • Understanding of data modeling concepts and ability to work closely with Data Engineers.
  • Excellent communication and presentation skills for conveying insights to technical and non-technical audiences.
Preferred Qualifications
  • Exposure to cloud platforms (AWS, Azure, or GCP) for querying and analysis.
  • Experience with Databricks/Spark for data exploration (basic familiarity is enough, since Engineers handle heavy lifting).
  • Knowledge of statistics and A/B testing to support product or process improvements.
  • Experience with GitHub or version control systems for collaborative workflows.

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