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Remote Data Analysis Jobs in San Ramon, CA (NOW HIRING)

Data Scientist

San Francisco, CA · On-site +1

$150K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... This position is remote from the USA or Canada. Duties: * Develop infrastructure for trader ...

Performs custom analysis. Uses modelling to drive business results with data-based insights and ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

New

Performs custom analysis. Uses modelling to drive business results with data-based insights and ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

New

Remote Job Overview We are seeking experienced Pharmacovigilance Experts to contribute their drug ... Analyze aggregate safety data and reconcile case counts, figures, and inconsistencies across data ...

Remote Job Type: Contractor Pay: $60-$65/hour Job Overview We are looking for an experienced ... Analyze and validate clinical trial data. * Review and interpret Statistical Analysis Plans (SAPs)

Remote Job Type: Contractor Pay: $60-$65/hour Job Overview We are looking for an experienced ... Analyze and validate clinical trial data. * Review and interpret Statistical Analysis Plans (SAPs)

Director Data Science + Analytics About the Role Join Midi Health as a Growth Analyst. As we scale ... Funnel & Conversion Analysis: Analyze the end-to-end user journey. * B2B Growth Support: Partner ...

This is full-time remote position. Key Responsibilities * Develop, deploy and monitor predictive models * Build features for predictive models * Partner with data analysts to integrate the results ...

Tableau (advanced), Data Analysis (advanced), SQL (intermediate), Python (intermediate), Excel (advanced) Contract Type: W2 Only Duration: 6+ Months Location: SFO, CA (#LI - Remote) Pay Range: $38 ...

No prior AI experience is required--your consulting expertise, analytical thinking, and ... Annotate data, interpret findings, and perform fact-checking to ensure high-quality content.

No prior AI experience is required--your consulting expertise, analytical thinking, and ... Annotate data, interpret findings, and perform fact-checking to ensure high-quality content.

Showing results 41-60

Remote Data Analysis information

What is remote data analysis?

Remote data analysis refers to the process of examining, interpreting, and drawing insights from data using digital tools, while working from a location outside of a traditional office setting. Professionals in this field utilize statistical software, databases, and visualization tools to analyze large datasets and help organizations make informed decisions. Remote data analysts often collaborate with team members and stakeholders virtually, ensuring that data-driven strategies are implemented effectively. This role requires strong analytical skills, attention to detail, and the ability to communicate findings clearly.

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

To thrive as a Remote Data Analyst, you need strong analytical skills, statistical knowledge, and a background in fields like mathematics, statistics, or computer science. Proficiency with data analysis tools such as SQL, Python, R, and visualization platforms like Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management help remote analysts present insights clearly and stay productive without direct supervision. These skills and qualities ensure accurate data-driven decisions and effective remote collaboration with stakeholders.

How do remote data analysts typically collaborate with team members and stakeholders?

Remote data analysts often use a combination of communication and project management tools—such as Slack, Microsoft Teams, and Zoom—to stay connected with colleagues and stakeholders. Regular virtual meetings, shared dashboards, and collaborative platforms enable them to discuss findings, gather requirements, and provide updates on ongoing projects. Clear documentation and proactive communication are essential to ensure alignment, especially when working across different time zones or departments. Building strong relationships with team members virtually can help streamline workflows and facilitate effective decision-making.

What is the difference between Remote Data Analysis vs Remote Data Entry?

AspectRemote Data AnalysisRemote Data Entry
Required SkillsData interpretation, statistical tools, analytical skillsTyping speed, accuracy, basic computer skills
Tools UsedExcel, SQL, data visualization softwareSpreadsheets, data entry platforms
Work EnvironmentAnalytical tasks, report creation, data insightsData input, database updating, record management
Common CertificationsData analysis certifications, Excel proficiencyNone typically required

Remote Data Analysis involves interpreting data, creating reports, and providing insights using analytical tools, while Remote Data Entry focuses on inputting and managing data accurately. Both roles are performed remotely and require computer skills, but Data Analysis demands analytical expertise and familiarity with data tools, whereas Data Entry emphasizes speed and accuracy in data input tasks.

Can I get a remote job as a remote data analyst?

Remote data analyst positions are widely available and often require skills in data visualization, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Many companies offer remote roles with flexible schedules, and a strong portfolio or certification can improve job prospects.

Is data analysis a good career for remote work?

Data analysis is well-suited for remote work because it primarily involves computer-based tasks such as working with datasets, using tools like Excel, SQL, and Python, and communicating insights through reports. Many companies offer remote data analyst positions, and strong skills in data visualization and self-management are important for success in a remote environment.

What are the most commonly searched types of Data Analysis jobs in San Ramon, CA?

The most popular types of Data Analysis jobs in San Ramon, CA are:

What are popular job titles related to Remote Data Analysis jobs in San Ramon, CA?

For Remote Data Analysis jobs in San Ramon, CA, the most frequently searched job titles are:

What job categories do people searching Remote Data Analysis jobs in San Ramon, CA look for?

The top searched job categories for Remote Data Analysis jobs in San Ramon, CA are:

What cities near San Ramon, CA are hiring for Remote Data Analysis jobs?

Cities near San Ramon, CA with the most Remote Data Analysis job openings:

Infographic showing various Remote Data Analysis job openings in San Ramon, CA as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Sr People Analytics Analyst

Uber Technologies, Inc.

San Francisco, CA • On-site, Remote

Full-time

Retirement

Posted 29 days ago


Uber rating

6.8

Company rating: 6.8 out of 10

Based on 115 frontline employees who took The Breakroom Quiz

4th of 9 rated taxi private hire


Job description

About The Role

At Uber, the People Data & Intelligence team drives business performance by translating employee insights into action. We partner with senior leaders to improve organizational effectiveness, employee engagement, and workforce outcomes across the full talent lifecycle - from hiring to retention.

We are looking for a senior data analyst who is passionate about using data to answer business questions and influence decisions. This role sits at the intersection of analytics engineering and modern insight delivery, supporting decisions by building intelligent applications, integrating AI workflows, and transforming raw people metrics into scalable, self-service solutions.

What You'll Do

  • Analytics Delivery: Partner with cross-functional stakeholders (HRBPs, business leaders, and people teams) to quickly understand ambiguous business questions and translate them into structured analysis blueprints and success benchmarks. Deliver timely, high-quality insights that inform strategy, roadmaps,and organizational health.
  • Build Scalable Analytics Solutions & Data Products: Act as a builder - Design optimized data models and clean, structured data layers that enable rapid analysis. 
  • Application Development & Automation: Develop custom, intelligent data tools and internal web applications (e.g., automated reporting tools, chatbots, or insight generation) using Python, Flask, and Streamlit to enable self-service insights. 
  • Code Excellence: Focus on long-term scaling by building, maintaining, and documenting clean codebases and analytics best practices within the team.
  • Team Mindset: Be humble and scrappy, willing to take on tactical or foundational data work whenever it helps unblock the team or a project.

Basic Qualifications

  • Bachelor's or Master's degree in a quantitative or analytical field (e.g., Statistics, Economics, Engineering, Computer Science, Data Analytics, or related).
  • Minimum 4+ years of experience in business intelligence, analytics, data engineering, or a similar role delivering insights in a corporate environment.
  • 3+ years experience of strong SQL expertise with the ability to independently write complex, efficient queries on large production datasets.
  • Hands-on experience building lightweight applications and analytical tools using frameworks like Streamlit and Flask.
  • Proficiency with industry-standard BI and data visualization tools (such as Tableau and Looker) to design intuitive dashboards and transform raw data into clear, self-service visual narratives.

Preferred Qualifications

  • Fluency in Python to clean, manipulate large datasets at scale, and apply analytical, automation, or machine learning capabilities to build scalable solutions.
  • Demonstrated ability to work with modern Generative AI tools and APIs to build intelligent data applications, automate complex analytical workflows, and extract actionable insights from large-scale datasets.
  • Direct experience in People Analytics, HR data, or exposure to Human Capital Management (HCM) systems and employee listening (survey) analysis.
  • Experience in experimental design, exploratory data analysis, data modeling, and statistical analysis.
  • Experience working directly with Product and Engineering teams in a fast-moving, cross-functional environment.

Ready to Ride?


This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves - we'd love to hear from you.


You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.


Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.


Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

For San Francisco, CA-based roles: The base salary range for this role is USD $131,000 per year - USD $145,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.


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