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Remote Data Analyst R Programming Jobs in Santa Clara, CA

Meta

Energy Analyst, Data Center Portfolio

Menlo Park, CA · On-site +1

$132K/yr

Analyze electric tariffs and wholesale market prices to evaluate energy cost implications for new ... Engage with Infrastructure and Capacity Engineering stakeholders to incorporate data center design ...

Akraya Inc.

Data Analysis Lead : 26-01763

Santa Clara, CA · On-site +1

$60 - $66/hr

Remote Pay Range: $60 - $65/hr on W2 Job Summary: We are seeking a Data Analysis Lead to join our team in a remote role, supporting our sales planning and execution from the United States, preferably ...

WilsonCTS

Data Scientist III

Mountain View, CA · On-site +1

$85/hr

Remote (Pacific time hours) Our client, a global technology leader seeking a Data Scientist for ... Python or R for advanced data analysis and automation (nice-to-have). * Lifecycle Marketing ...

YO AI Labs

AI Data Scientist Expert - Remote

Palo Alto, CA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Analytical Reasoning * Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical ...

Meta

Data Engineer, Product Analytics

Fremont, CA · On-site +1

$177K/yr

This could include roles such as data analyst, data scientist, data engineer, or similar positions * 7+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g ...

Meta

Data Engineer, Product Analytics

Menlo Park, CA · On-site +1

$147K/yr

This could include roles such as data analyst, data scientist, data engineer, or similar positions * 4+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g ...

PDF Solutions

Inspection Application Engineer

Milpitas, CA · On-site +1

$110K - $150K/yr

Experience of data analysis using S+/R or python * Experience with UNIX/Linux systems. Must: Have ... Ability to work with remote development support to resolve issues at customer site for apps work in ...

YO AI Labs

AI Data Science Expert - Remote

San Jose, CA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Analytical Reasoning * Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical ...

YO AI Labs

AI Data Science Expert - Remote

Palo Alto, CA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Analytical Reasoning * Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical ...

QuickLaunch Analytics

Data Platform Engineer

Santa Cruz, CA · Remote

$117K - $140K/yr

At QuickLaunch Analytics, we help organizations simplify the complex world of data. As a Data ... Remote (USA) or hybrid (Santa Cruz County, CA) Compensation: The estimated base salary range for ...

QuickLaunch Analytics

Data Platform Engineer

Santa Cruz, CA · On-site +1

$132K - $158K/yr

... analytics. WhatYou'llDo * Design and deploy modern data platforms in Azure Databricks, including ... Remote(USA)or hybrid (Santa Cruz County, CA) Compensation:The estimated base salary range for this ...

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Showing results 21-40

All JobsData Analyst R Programming JobsRemote Data Analyst R Programming JobsRemote Data Analyst R Programming Jobs in Santa Clara, CA

Remote Data Analyst R Programming information

See Santa Clara, CA salary details

$39.9K

$97.1K

$159.7K

How much do remote data analyst r programming jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote data analyst r programming in Santa Clara, CA is $97,056.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,400.00 and $113,900.00 per year, depending on experience, location, and employer.

What is a remote data analyst r programming?

A Remote Data Analyst R Programming is a professional who analyzes and interprets data using the R programming language while working from a remote location. Their primary responsibilities include collecting, cleaning, and visualizing data, as well as performing statistical analyses to help organizations make data-driven decisions. These analysts often collaborate with teams online and use R to automate processes, generate reports, and create predictive models. Remote work allows them flexibility and access to a wider range of employers, while R provides powerful tools for handling complex data tasks.

What are the key skills and qualifications needed to thrive as a remote data analyst specializing in R programming?

To thrive as a Remote Data Analyst specializing in R Programming, you need strong statistical analysis skills, proficiency in R, and a background in mathematics, statistics, or a related field. Experience with data visualization tools, databases (such as SQL), and familiarity with data science platforms or certifications like the Data Science Professional Certificate are commonly required. Effective communication, problem-solving abilities, and self-motivation are crucial soft skills for excelling in remote and collaborative environments. These skills ensure accurate data-driven insights, efficient workflow, and successful teamwork across distributed teams.

How does a remote data analyst specializing in r programming typically collaborate with team members across different locations?

As a Remote Data Analyst focused on R Programming, collaboration is often facilitated through digital communication tools such as Slack, Zoom, and project management platforms like Jira or Trello. Analysts regularly share scripts, data visualizations, and reports using version control systems like Git, ensuring code transparency and reproducibility. Team meetings and code reviews are scheduled to align on project goals, troubleshoot challenges, and maintain data integrity. Building strong communication skills and documenting code thoroughly are essential for effective teamwork in a remote environment.

What is the difference between Remote Data Analyst R Programming vs Remote Data Analyst Python?

AspectRemote Data Analyst R ProgrammingRemote Data Analyst Python
Required SkillsProficiency in R, data visualization, statistical analysisProficiency in Python, data manipulation, machine learning
Work EnvironmentRemote, data-focused roles in research, healthcare, financeRemote, data-driven roles in tech, e-commerce, finance
Common CertificationsR certifications, data analysis coursesPython certifications, data science courses

Both roles involve remote data analysis but differ mainly in programming language expertise. R-focused analysts excel in statistical analysis and visualization, often in research or healthcare sectors. Python analysts are versatile in data manipulation and machine learning, commonly working in tech or e-commerce. Understanding these differences helps job seekers target roles aligned with their skills and industry preferences.

What are the most commonly searched types of Data Analyst R Programming jobs in Santa Clara, CA?

The most popular types of Data Analyst R Programming jobs in Santa Clara, CA are:

What are popular job titles related to Remote Data Analyst R Programming jobs in Santa Clara, CA?

For Remote Data Analyst R Programming jobs in Santa Clara, CA, the most frequently searched job titles are:

What job categories do people searching Remote Data Analyst R Programming jobs in Santa Clara, CA look for?

The top searched job categories for Remote Data Analyst R Programming jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Remote Data Analyst R Programming jobs?

Cities near Santa Clara, CA with the most Remote Data Analyst R Programming job openings:

Remote Data Analyst R Programming jobs near you
Infographic showing various Remote Data Analyst R Programming job openings in Santa Clara, CA as of June 2026, with employment types broken down into 5% Internship, 63% Full Time, 11% Part Time, and 21% Contract. Highlights an 100% Remote job distribution, with an average salary of $97,056 per year, or $46.7 per hour.

Energy Analyst, Data Center Portfolio

Meta

Menlo Park, CA • On-site, Remote

$132K/yr

Full-time

Posted 5 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 246 rated software companies

Job description

Meta designs, builds, and operates some of the most innovative and energy-efficient data centers in the world. As global demand for compute infrastructure grows, so does the complexity of securing reliable, cost-effective, and sustainable energy supplies. Meta is seeking an experienced Energy Analyst to join the Infrastructure Data Center (IDC) Energy team, which is responsible for energy strategy, commercial and clean energy procurement, and energy portfolio management across Meta's rapidly expanding global data center portfolio. In this role, you will provide analytical expertise that directly informs site selection, energy procurement decisions, long-term capacity planning, and financial governance.
Energy Analyst, Data Center Portfolio Responsibilities:
  • Analyze electric tariffs and wholesale market prices to evaluate energy cost implications for new and existing data center sites
  • Develop and maintain financial models to forecast energy consumption, demand charges, and rate impacts across Meta's global data center portfolio
  • Conduct comprehensive load and cost analytics to support regional expansion and inform energy procurement strategies
  • Build scalable analytical tools and dashboards to streamline portfolio analysis and improve reporting efficiency
  • Engage with Infrastructure and Capacity Engineering stakeholders to incorporate data center design trends into load forecasting methodologies
  • Monitor wholesale energy market developments, regulatory changes, and utility rate proceedings that may affect Meta's data center operating costs
  • Synthesize complex energy data and present findings clearly to technical and non-technical stakeholders across the organization
  • Support the risk program to identify and quantify portfolio-wide wholesale market exposure
  • Create scalable AI-native analytical tool to improve efficiency and accuracy

Minimum Qualifications:
  • 6+ years of experience in the energy industry with a focus on wholesale or retail rate analysis, load forecasting, or energy market analytics
  • Experience analyzing electric utility tariffs, wholesale energy market data, and renewable energy structures
  • Experience applying quantitative and financial modeling methodologies to evaluate energy market risks and opportunities
  • Experience collaborating cross-functionally with Finance, Accounting, or Infrastructure teams to support data-driven business decisions
  • Experience prioritizing and managing multiple concurrent analytical workstreams to meet project deadlines

Preferred Qualifications:
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Familiarity with renewable energy procurement structures, including power purchase agreements and renewable energy certificates
  • Experience working with large energy consumers, electric utilities, energy service providers, or energy consultancies in a data center or industrial context
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Experience coding in Python, SQL, or similar languages to automate data processing and build analytical pipelines
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience creating AI-native tooling and dashboards

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$132,000/year to $188,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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