ZipRecruiter

Log In

1

Data Analyst Data Science Jobs in San Ramon, CA (NOW HIRING)

Thunkable

Sr. Data Analyst

San Francisco, CA · Remote

$101K - $127K/yr

Required Qualifications - BA/BS degree or above in a related field or equivalent experience required. - 3+ years of work experience in data science, data analytics or other quantitative roles, with a ...

Thunkable

Sr. Data Analyst

San Francisco, CA · On-site

$90K - $130K/yr

Required Qualifications - BA/BS degree or above in a related field or equivalent experience required. - 3+ years of work experience in data science, data analytics or other quantitative roles, with a ...

Thunkable

Sr. Data Analyst

San Francisco, CA · Remote

$90K - $130K/yr

Required Qualifications - BA/BS degree or above in a related field or equivalent experience required. - 3+ years of work experience in data science, data analytics or other quantitative roles, with a ...

Redolent, Inc

Data Analyst

Sunnyvale, CA · On-site

Be a product-oriented Data Analyst creating and experimenting with new ideas that will engage and excite our customersExperience/Skills required: - Bachelor's degree in Computer Science or related ...

OpenArt

Data Scientist

San Francisco, CA · On-site

$160K - $180K/yr

Minimum 3 years of work experience in analytics or data science * Expert SQL and strong Python skills * Deep understanding of statistical analysis, experimentation design, and common analytical ...

1 point system

Senior Data Analyst

Sunnyvale, CA · On-site

$40/hr

Master's degree in Data Science, Statistics, Computer Science, Economics, or related field. * 4+ years of experience in Payments, Risk, FinTech, or Marketplace Analytics. * Advanced SQL expertise ...

Doximity

Data Analyst

San Francisco, CA · On-site +1

$110K - $150K/yr

At least 2 years of professional experience as a data analyst or a data scientist. * Knowledge of statistical concepts, especially exploratory data analysis techniques, and probability theory.

Embedding VC

Data Scientist

Redwood City, CA · On-site

Minimum 3 years of work experience in analytics or data science * Expert SQL and strong Python skills * Deep understanding of statistical analysis, experimentation design, and common analytical ...

Doximity

Data Analyst

San Francisco, CA · On-site +1

$110K - $150K/yr

At least 2 years of professional experience as a data analyst or a data scientist. * Knowledge of statistical concepts, especially exploratory data analysis techniques, and probability theory.

Redolent, Inc

Data Analyst

San Bruno, CA

Data Analyst LOCATION: San Bruno, CA Duration: 6 to 12+ Months Rate: DOE Job Profile Summary Build ... Computer Science, or related field * 2+ years' experience in analytics, systems, information ...

Redolent, Inc

Data Analyst

San Bruno, CA

Bachelor's degree in Computer Science or related technical field. MS/PhD would be a strong plus At least 2 years of experience in performing data analysis & reporting. Industry experience preferably ...

Swish Analytics

NFL Data Scientist

San Francisco, CA · On-site

$140K/yr

Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area * Demonstrated experience developing models at production scale for NFL, CFB, or sports betting for ...

next page

Showing results 1-20

All JobsData Analyst Data Science JobsData Analyst Data Science Jobs in San Ramon, CA

Data Analyst Data Science information

See San Ramon, CA salary details

$38K

$92.4K

$152K

How much do data analyst data science jobs pay per year?

As of Jun 9, 2026, the average yearly pay for data analyst data science in San Ramon, CA is $92,352.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,800.00 and $108,400.00 per year, depending on experience, location, and employer.

How do Data Analysts in Data Science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What does a Data Analyst in Data Science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

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

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.
What are popular job titles related to Data Analyst Data Science jobs in San Ramon, CA? For Data Analyst Data Science jobs in San Ramon, CA, the most frequently searched job titles are:
What job categories do people searching Data Analyst Data Science jobs in San Ramon, CA look for? The top searched job categories for Data Analyst Data Science jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Data Analyst Data Science jobs? Cities near San Ramon, CA with the most Data Analyst Data Science job openings:
Data Analyst Data Science jobs near you
Infographic showing various Data Analyst Data Science job openings in San Ramon, CA as of June 2026, with employment types broken down into 1% As Needed, 68% Full Time, 25% Part Time, 5% Contract, and 1% Nights. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $92,352 per year, or $44.4 per hour.
Sr. Data Analyst

Sr. Data Analyst

Thunkable

San Francisco, CA • Remote

$101K - $127K/yr

Full-time

Posted 11 days ago

Job description

Role Overview
 
Thunkable is seeking a Senior Data Analyst to join our Data & Analytics team who can bridge analytics and data foundations. In this role, you’ll not only analyze data to generate insights but also help connect and organize data from multiple sources—such as product analytics, marketing platforms, payments, and user systems—into a more complete and reliable view. We’re looking for practical solutions that help us move faster and make better decisions across the business. You will work closely with cross-functional teams to make sense of the data, establish facts and help us understand the market, the business, the customers and our product.
 
Key Responsibilities
 
- Collaborate with engineers to add, validate and maintain event tracking within React-based interfaces.
- Improve data reliability by identifying and troubleshooting tracking issues that impact data integrity.
- Partner with cross-functional teams to collect and shape business requirements into scalable data architecture and process improvements that enable cross-team integration,  automation and efficient data flow. (eg. Google Ads, Meta ads, Payment systems, Amplitude, etc.)
- Document data architecture, key components, and data flows to ensure clarity.
- Collaborate across teams to query and analyze data from Amplitude and other SQL/NoSQL systems within our current data ecosystem.
- Conduct product and marketing analyses (such as funnels, cohort analyses, and user segmentation) to uncover actionable insights.
- Develop and monitor key metrics, including setting up automated dashboards and recurring reports.
- Lead data initiatives and experimentation, defining measurement approaches and evaluating success.
 
Required Qualifications
 
- BA/BS degree or above in a related field or equivalent experience required.
- 3+ years of work experience in data science, data analytics or other quantitative roles, with a track record of successfully delivering data analytics projects.
- Experience with building and maintaining data pipelines and integrations across multiple systems (eg. Amplitude, Google Ads, Meta Ads, payment processors, CRM tools).
- Experience with event tracking instrumentation and collaborating with engineering teams to validate and maintain analytics implementations.
- Experience with handling real-time and historical data from the ground up, including data cleaning, data processing, analyzing, modeling, insights delivery and execution strategy.
- Experience in data queries and statistical programming tools (SQL, R, Python, etc.)
- Experience with product and marketing analytics and digital optimization tools (Amplitude, Google Analytics, etc.)
- You have strong analytical and problem-solving skills, with a keen attention to detail.
- You are a good communicator and can explain complex analyses using visualization and storytelling to both technical and non-technical audiences.
- You are a self-starter who thrives in a start-up environment and has a strong follow-through.
 
Preferred Qualifications
 
- Experience with improving data pipelines, data storage and analytical frameworks.
- Event tracking (eg. Javascript, Google tag manager)
- Javascript and React.
Life at Thunkable
 
Thunkable is on a mission to democratize app development and empower everyone to build without writing a single line of code. Our platform enables anyone to build and publish iOS and Android apps for free.
 
Joining Thunkable means joining a team of passionate, entrepreneurial, and supportive people from diverse backgrounds united by shared values of Creativity, Openness, Transparency, Persistence, and Entrepreneurialism.
 
What You’ll Get:
- Competitive compensation, equity, and unlimited PTO
- Health, wellness, and training budget
- Global remote flexibility
- The opportunity to directly influence the future of no-code and AI-driven app development
 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.