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Work From Home Data Analyst R Programming Jobs in Santa Clara, CA

Data Analyst

Mountain View, CA · On-site +1

$90K - $100K/yr

Monitor, validate, and maintain data flows from call center platforms (e.g., Nice CxOne, Five9 ... Partner with engineering and platform teams to surface pipeline failures, schema changes, or ...

They work in many industries, including business, finance, science, medicine, and government To ... and R is crucial for data analysts to efficiently collect, clean, and analyze data from various ...

Data Analyst

Foster City, CA · Remote

$85K - $100K/yr

You will work with fellow analysts to analyze, conjecture, and manage investigations, product fixes ... Experience in R or Python is required * Experience with Tableau or other related Business ...

Exports information from various applications/databases and uses analytical tools (i.e. SQL, MS ... Must haves: * 4 Year/Bachelor's degree or equivalent work experience (4 years of experience in lieu ...

Senior Data Analyst

Foster City, CA · Remote

$80K - $130K/yr

You will work with fellow analysts to analyze, conjecture, and manage investigations, product fixes ... Experience in R or Python is required * Experience with Tableau or other related Business ...

Work closely with product managers, engineers, and marketing teams to ensure that data-driven ... Assured contributes 3% of your income, even if you don\'t contribute WFH Benefits: Lunch on us 2x ...

Sr Data Analyst - Store Analytics

Dublin, CA · On-site +1

$96K - $122K/yr

... Data Engineering, and helps shape the evolution of the Store Insights capability. What You'll Do ... work dictates, from a remote office location Benefits This role is eligible for healthcare ...

Data Analyst II 100% Remote PST work Remaining Positions: 1 Duties: * Provide analytic data to support our annual sales planning including quota planning, go-to-market modeling, capacity modeling and ...

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Work From Home Data Analyst R Programming information

See Santa Clara, CA salary details

$39.9K

$97.1K

$159.7K

How much do work from home data analyst r programming jobs pay per year?

As of Aug 4, 2026, the average yearly pay for work from home 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 does a typical workday look like for a work from home data analyst R programming?

A typical day for a Work From Home Data Analyst using R involves extracting and cleaning datasets, running statistical analyses, and creating data visualizations to support business decisions. Communication with team members is often done via video calls, emails, or collaborative project management tools, ensuring everyone stays aligned despite the physical distance. You may spend part of your day troubleshooting code, optimizing data workflows, or preparing reports for stakeholders. This role allows for flexibility but also requires strong self-management to meet deadlines and deliver high-quality analytical results. Regular interaction with cross-functional teams helps you stay engaged and involved in broader company objectives.

What are the key skills and qualifications needed to thrive as a work from home data analyst R programming?

To thrive as a Work From Home Data Analyst R Programming, you need a strong understanding of data analysis, statistical concepts, and proficiency in R, often backed by a degree in statistics, mathematics, computer science, or a related field. Familiarity with data visualization tools, SQL databases, and relevant certifications such as Certified Analytics Professional or courses in R programming are highly beneficial. Effective communication, problem-solving skills, and the ability to work independently are essential soft skills for remote collaboration. These competencies ensure you can analyze complex datasets accurately, deliver actionable insights, and contribute effectively to distributed teams.

Do data analysts use R programming?

Data analysts often use R programming as it provides powerful tools for data manipulation, statistical analysis, and visualization. R is widely adopted in the field for its extensive package ecosystem and open-source nature, making it a valuable skill for data analysts working in various industries.

What is a work from home data analyst R programming?

A Work From Home Data Analyst specializing in R Programming analyzes data, builds statistical models, and generates insights using R while working remotely. This role often involves data cleaning, visualization, and reporting to support business decisions. Analysts collaborate with teams via virtual tools and may work with databases, machine learning, and automation. Strong R programming skills, analytical thinking, and communication abilities are essential for success in this role.

Is it possible to work remotely as a data analyst?

Work from home data analysts, including those skilled in R programming, can often perform their duties remotely, especially with access to data analysis tools like RStudio and cloud-based platforms. Many companies now offer remote or hybrid work arrangements for data analysis roles, provided candidates have strong communication skills and relevant technical expertise. However, some positions may require on-site presence for collaboration or data access, so job requirements vary by employer.

Are R programmers in demand?

R programmers, including data analysts using R programming, are in demand due to the growing need for data analysis and statistical modeling across industries. Skills in R, along with data visualization and statistical analysis, increase employability in roles such as data analyst or data scientist, especially in organizations focusing on data-driven decision making.
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Infographic showing various Work From Home Data Analyst R Programming job openings in Santa Clara, CA as of June 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $96,302 per year, or $46.3 per hour.

Data Analyst

VIMO INC.

Mountain View, CA • On-site, Remote

$90K - $100K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 hours ago


Job description

About VIMO:
Vimo® started as the "Expedia" of health insurance and has evolved into a leader in transforming government IT infrastructure with its proven SaaS and AI technology. Our innovative approach to health insurance shopping and enrollment has expanded beyond exchanges, and we are now reinventing how states administer safety net programs such as Medicaid, SNAP (food stamps), child care, and unemployment insurance. With our cutting-edge technology, we are helping agencies serve more people, faster, and transforming healthcare service delivery as we know it.
We are looking for a detail-oriented Data Analyst to own the integrity, flow, and delivery of data across our reporting ecosystem - with a particular focus on call center operations. You will serve as the connective tissue between source systems, data pipelines, and BI platforms, ensuring that reports are accurate, timely, and meaningful to the teams that rely on them. This role is equal parts investigator, data steward, and reporting partner.
Responsibilities:
  • Monitor, validate, and maintain data flows from call center platforms (e.g., Nice CxOne, Five9, Genesys, Avaya) through ETL/ELT pipelines into the data warehouse and BI layer
  • Triage and resolve data discrepancies, reporting anomalies, and integration issues across systems - owning the problem through to root cause and fix
  • Map how call center data (call volumes, handle time, CSAT, agent metrics) joins with data from CRM, workforce management, ticketing, and financial systems
  • Build and maintain documentation for data dictionaries, field mappings, and transformation logic
  • Partner with engineering and platform teams to surface pipeline failures, schema changes, or upstream data quality issues before they reach end-users
  • Develop and sustain dashboards and reports in BI tools (e.g., Sisense, Tableau, Power BI) that consolidate cross-system metrics into operational views
  • Conduct ad hoc analysis to support operations, finance, and workforce planning teams
  • Define and monitor data quality checks and alerting for key reporting metrics
  • Communicate data nuances and known limitations to business stakeholders clearly and proactively

Compensation and Benefits:
  • Competitive compensation - Please note that salary and compensation may vary based on factors such as skills, experience, performance and location.
  • We offer a comprehensive benefits package, including but not limited to: Health, Dental, Life, Disability, and Vision insurance
  • Healthcare spending or reimbursement accounts (HSA/FSA)
  • Retirement benefits (401k)
  • Paid time off
  • Holidays: 13 paid days per year
  • Education assistance or tuition reimbursement-
  • Employee discounts for Gym memberships & commuting/travel assistance

Our Vaues:
  • We believe that working hard, when it is imbued with purpose, can and should be fun.
  • You'll find we are a "can do" place where people work together and roll up their sleeves to get the job done.
  • Everyone has a voice; everyone's ideas count, and everyone is respected.
  • We have built a company, as well as a community of friends and colleagues, with respect for each other.

Information Security & Data Protection:
  • This role may involve access to sensitive or regulated information. The candidate is expected to handle all data in accordance with company security, privacy, and data protection policies.
  • Compliance with access control, data classification, and applicable legal and regulatory requirements is required.

Basic Qualifications:
  • 5+ years of experience Data Analysis or related fields
  • Proficient SQL - complex joins, CTEs, window functions, query optimization
  • Hands-on experience with BI platforms (Tableau, Power BI, Looker, or similar)
  • Familiarity with ETL/ELT tools or data pipelines (dbt, Fivetran, Airflow, or similar)
  • Experience working with call center or contact center data
  • Strong analytical thinking and attention to data detail
  • Ability to communicate technical findings to non-technical stakeholders

Preferred Qualifications:
  • Python or R for data wrangling and automation
  • Experience with cloud data warehouses (Snowflake, BigQuery, Redshift)
  • Knowledge of call center KPIs: AHT, FCR, ASA, CSAT, NPS
  • Familiarity with data governance or cataloguing tools
  • Experience with CRM data and WFM systems
  • Background in operations analytics or workforce management

What Success Looks Like:
  • Reporting issues are identified and resolved before stakeholders notice them
  • Call center and cross-system data is reliably consolidated and consistently defined
  • Dashboards reflect a single source of truth that operations and leadership trust
  • Data flow documentation is thorough enough for anyone on the team to follow