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Remote Data Analyst R Programming Jobs in San Francisco, CA

Finance Data Lead

San Francisco, CA ยท Remote

$210K - $250K/yr

Must-Haves * 4-7 years of experience in a data-heavy role (data analyst, analytics engineer ... Proficiency in Python or R for data manipulation and automation * Experience with a BI tool (Looker ...

Tennis Data Scientist

San Francisco, CA ยท On-site +1

$135K - $190K/yr

... analytics data products. We believe that oddsmaking is a challenge rooted in engineering ... This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ...

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 ...

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 ...

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 ...

Sr. Data Platform Engineer

San Francisco, CA ยท On-site +1

$134K - $161K/yr

Partner with data analysts, data scientists, ML/AI engineers, BI developers, and business ... Employee divides their time between in-office and remote work. Access to an office location is ...

Direct the generation and validation of analysis datasets and TLFs, ensuring data integrity and ... Lead the development, validation, and review of efficient R code to support statistical analyses ...

Data Engineer (MedInsight)

Walnut Creek, CA ยท On-site +1

$93K - $177K/yr

Analyze and improve data intake processes and optimize SparkSQL/Python workloads for performance ... Location This role can be remote within the U.S. The expected application deadline for this job is ...

Data Engineer (MedInsight)

San Francisco, CA ยท On-site +1

$93K - $177K/yr

Analyze and improve data intake processes and optimize SparkSQL/Python workloads for performance ... Location This role can be remote within the U.S. The expected application deadline for this job is ...

Data Engineer III

Menlo Park, CA ยท On-site +1

$134K - $162K/yr

Data Analytics & Engineering - Data Engineer III Summary Generative AI models are only as good as ... Remote Inference Orchestration: Own the systems for remote ML model inference orchestration within ...

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Remote Data Analyst R Programming information

See San Francisco, CA salary details

$40.1K

$97.4K

$160.2K

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

As of Jun 16, 2026, the average yearly pay for remote data analyst r programming in San Francisco, CA is $97,364.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,600.00 and $114,300.00 per year, depending on experience, location, and employer.

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

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 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 most commonly searched types of Data Analyst R Programming jobs in San Francisco, CA? The most popular types of Data Analyst R Programming jobs in San Francisco, CA are:
What are popular job titles related to Remote Data Analyst R Programming jobs in San Francisco, CA? For Remote Data Analyst R Programming jobs in San Francisco, CA, the most frequently searched job titles are:
What job categories do people searching Remote Data Analyst R Programming jobs in San Francisco, CA look for? The top searched job categories for Remote Data Analyst R Programming jobs in San Francisco, CA are:
What cities near San Francisco, CA are hiring for Remote Data Analyst R Programming jobs? Cities near San Francisco, CA with the most Remote Data Analyst R Programming job openings:
Finance Data Lead

Finance Data Lead

Parafin

San Francisco, CA โ€ข Remote

$210K - $250K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago


Job description

About Us:

At Parafin, weโ€™re on a mission to grow small businesses.
Small businesses are the backbone of our economy, but traditional banks often donโ€™t have their backs. We build tech that makes it simple for small businesses to access the financial tools they need through the platforms they already sell on.
We partner with companies like DoorDash, Amazon, Worldpay, and Mindbody to offer fast and flexible funding, spend management, and savings tools to their small business users via a simple integration. Parafin takes on all the complexity of capital markets, underwriting, servicing, compliance, and customer service for our partners.
Weโ€™re a tight-knit team of innovators hailing from Stripe, Square, Plaid, Coinbase, Robinhood, CERN, and more โ€” all united by a passion for building tools that help small businesses succeed. Parafin is backed by prominent venture capitalists including GIC, Notable Capital, Redpoint Ventures, Ribbit Capital, and Thrive Capital. Parafin is a Series C company, and we have raised more than $194M in equity and $340M in debt facilities.
Join us in creating a future where every small business has the financial tools they need.

About the Position

We're looking for a Finance Data Lead to sit at the intersection of finance and data engineering on our Finance team. This role requires someone who thinks in queries, models data pipelines, and moves quickly with modern tooling, while also being comfortable discussing a P&L or loan portfolio with senior leadership.

You'll be the go-to person for turning raw financial data into clean, trusted, and actionable outputs โ€” owning everything from ad hoc analyses to scalable reporting infrastructure.

What Youโ€™ll Be Doing:
  • Own financial data workflows end-to-end โ€” from sourcing and transforming raw data (SQL, Python, etc.) to building clean, auditable outputs in Excel or BI tools

  • Build and maintain financial models and dashboards that track key metrics such as origination volumes, revenue run rates, and portfolio performance

  • Respond to ad hoc data requests from Finance, Product, and GTM โ€” quickly, accurately, and with clear documentation

  • Leverage AI tools (e.g., Claude, ChatGPT, Copilot) to accelerate analysis, automate repetitive tasks, and surface insights faster

  • Partner with Engineering and Data teams to ensure financial data is correctly structured, accessible, and well-governed

  • Maintain data integrity standards โ€” building in checks, reconciliation logic, and clear audit trails across all financial outputs

  • Support external reporting needs, including materials for investors, lenders, and board-level stakeholders

What Weโ€™re Searching For:Must-Haves
  • 4โ€“7 years of experience in a data-heavy role (data analyst, analytics engineer, financial analyst with strong technical depth, etc.)

  • Expert-level Excel/Google Sheets skills (complex models, dynamic arrays, pivot tables)

  • Strong SQL skills โ€” you can write and optimize queries against large datasets independently

  • Hands-on experience with modern AI tools and a genuine curiosity about how to apply them to financial workflows

  • Baseline fluency in corporate finance concepts such as EBITDA, working capital, and structured finance

  • High degree of trust and discretion โ€” you'll have access to sensitive financial data and are expected to handle it responsibly

  • Strong verbal communication skills โ€” you can translate complex datasets into clear, concise narratives

Nice-to-Haves
  • Experience in fintech, lending, or structured finance (familiarity with loan tapes, origination data, or SPV structures is a plus)

  • Proficiency in Python or R for data manipulation and automation

  • Experience with a BI tool (Looker, Tableau, Mode, etc.)

  • Exposure to DBT, Airflow, or similar data pipeline tooling

Why This Role
  • High-impact, high-visibility work โ€” your outputs are presented in executive and investor materials

  • A seat at the table for data infrastructure decisions within the Finance team

  • Opportunity to define processes and tooling in a fast-moving environment

  • Collaborative team that values rigor, speed, and intellectual curiosity

What We Offer
  • Salary Range: $210kโ€“$250k

  • Equity grant

  • Medical, dental, and vision insurance

  • Unlimited PTO

  • Work-from-home flexibility

  • Commuter benefits

  • Free lunches

  • Paid parental leave

  • 401(k)

  • Employee assistance program

If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please contact us.