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

Data Analyst

San Francisco, CA · On-site

$55K - $120K/yr

Strong analytical and pattern recognition skills across large, messy, or multi-source datasets * Experience reconciling financial or transactional data (ideally in an e-commerce or payments ...

Operations Data Analyst

Oakland, CA · On-site

$77 - $82/hr

Bachelor's degree in Data Analytics, Statistics, Computer Science, Business, Engineering, or a related field (or equivalent experience). * Demonstrated experience building and maintaining dashboards ...

MW Partners is currently seeking a Data Analyst to work for our client who is a global leader in multimedia and creativity software products. Responsibilities and duties: * Introduction: To enhance ...

Data Analyst III

San Francisco, CA · On-site +1

$114K - $142K/yr

Our Data Scientists, Analysts, and Engineers work together to make data-and insights derived from data-a core asset across the company. What you'll do As a senior Data Analyst (DA III), you will own ...

Our Data Scientists, Analysts, and Engineers work together to make data-and insights derived from data-a core asset across the company. What you'll do As a senior Data Analyst (DA III), you will own ...

Data Analyst II

San Francisco, CA · Hybrid

$93K - $117K/yr

Our Data Scientists, Analysts, and Engineers work together to make data-and insights derived from data-a core asset across the company. What you'll do As a Data Analyst II (DA), you will play a ...

Verdantas is seeking a Data Analyst I who is eager to support stormwater invoicing and apply data analytics to real-world projects across our teams. What the role will do: Assist with collecting ...

Verdantas is seeking a Data Analyst I who is eager to support stormwater invoicing and apply data analytics to real-world projects across our teams. What the role will do: • Assist with collecting ...

The position requires deep technical analysis and troubleshooting of integrated systems, identifying root causes, and developing solutions using various data technologies. Key Responsibilities • ...

Policy & Data Analyst

Alameda, CA · On-site

$94K - $136K/yr

The Policy & Data Analyst supports the Agency's programs and strategic initiatives by working closely with internal and external partners to collect, analyze, interpret, and report data that informs ...

Product Data Analyst

San Francisco, CA · Hybrid

$124K - $155K/yr

This Data Analyst will have the opportunity to work across domains and collaborate with Product, Engineering, and Operations. The ideal person for this role possesses strong quantitative and ...

Data Analyst II

San Francisco, CA · On-site

$93K - $117K/yr

Our Data Scientists, Analysts, and Engineers work together to make data-and insights derived from data-a core asset across the company. What you'll do As a Data Analyst II (DA), you will play a ...

Policy & Data Analyst

Alameda, CA · Hybrid

$94K - $136K/yr

The Policy & Data Analyst supports the Agency's programs and strategic initiatives by working closely with internal and external partners to collect, analyze, interpret, and report data that informs ...

Director Data Science + Analytics About the Role Join Midi Health as a Growth Analyst. As we scale our D2C and B2B segments (partnering with health systems and employers) and deepen our analytical ...

Showing results 21-40

Data Analyst information

See San Ramon, CA salary details

$38K

$92.4K

$152K

How much do data analyst jobs pay per year?

As of Jul 25, 2026, the average yearly pay for data analyst 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.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

What are some common challenges Data Analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

Is 40 too late for data science?

A Data Analyst role is accessible at any age, including 40, as skills in data analysis, programming, and tools like Excel, SQL, and Python are more important than age. Many professionals successfully transition into data science or analytics later in their careers by gaining relevant certifications and experience.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace data analysts.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What Does a Data Analyst Job Do?

Data Analysts use a range of methods to chart, examine, and analyze data for their clients. As a Data Analyst, your job is to analyze a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. You may also need to present your reports to stakeholders. Because companies often use the results of the data analysis to make business decisions, Data Analysts need to confirm the accuracy of the data.

What does a Data Analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, often requiring strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience in data visualization and reporting tend to have better chances of obtaining such roles.

What job does a data analyst do?

A data analyst collects, processes, and analyzes data to help organizations make informed decisions. They use tools like Excel, SQL, and data visualization software to identify trends, create reports, and support strategic planning. Strong analytical skills and attention to detail are essential for this role.
What are the most commonly searched types of Data Analyst jobs in San Ramon, CA? The most popular types of Data Analyst jobs in San Ramon, CA are:
What are popular job titles related to Data Analyst jobs in San Ramon, CA? For Data Analyst jobs in San Ramon, CA, the most frequently searched job titles are:
What cities near San Ramon, CA are hiring for Data Analyst jobs? Cities near San Ramon, CA with the most Data Analyst job openings:
Infographic showing various Data Analyst job openings in San Ramon, CA as of July 2026, with employment types broken down into 67% Full Time, 8% Part Time, and 25% Contract. Highlights an 61% Physical, 5% Hybrid, and 34% Remote job distribution, with an average salary of $92,352 per year, or $44.4 per hour.
Data Analyst

Full-time

Posted 8 days ago


University Of California San Francisco rating

7.8

Company rating: 7.8 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

204th of 560 rated colleges and universities


Job description

Job Summary:

The Data Analyst will support multiple investigator-initiated clinical research studies in ophthalmology by performing data management, statistical analyses, and preparation of tables, figures, and manuscripts for publication. Responsibilities include maintaining research databases (e.g., REDCap), ensuring data quality and integrity, conducting statistical analyses using software such as R, SAS, or Stata, and assisting with grant applications, abstracts, and scientific manuscripts. The position will also provide support including assisting with IRB submissions and continuing reviews, coordinating study documentation, maintaining regulatory files, supporting participant scheduling and follow-up, and working closely with investigators and study teams to ensure compliance with study protocols and regulatory requirements. The ideal candidate will have strong quantitative and organizational skills, experience with clinical research, and the ability to work independently while collaborating effectively with a multidisciplinary research team.

Department Description: 

The UCSF Department of Ophthalmology is one of the leading ophthalmology departments in clinical care, training, and research nationwide. The Department of Ophthalmology is a one of the largest recipients of federal grant funds among peer departments.  We are ranked 1st in National Eye Institute Funding and 2nd in overall National Institutes of Health (NIH) funding in the country. Additionally, we have been the #1 recipient of the Research to Prevent Blindness funding nationwide with nearly $1.2 million granted in a single year. Overall, the Department has a wide-ranging portfolio of 60 active research grants.

UCSF's renowned eye care services have a new state-of-the-art home. In November 2020, the Wayne and Gladys Valley Center for Vision opened its doors. Located at UCSF's Mission Bay Campus, the center houses the Vision Clinics, where many of UCSF's eye care programs relocated, as well as research and teaching facilities. Ophthalmology conducts its patient care, teaching, research, and public service activities currently at multiple UCSF campuses: Parnassus, Mt. Zion, Veteran's Administration Medical Center (VAMC), San Francisco General (SFG), East Bay and Benioff Children's Hospital at Mission Bay and in Oakland. The Department sponsors numerous invited speakers, research seminars, journal clubs, as well as a postdoctoral training program focused on mentorship, networking, and recognition. The UCSF Department of Ophthalmology consists of approximately 300 FTE's (including UCSF Health employees) including faculty, basic scientists, postdoctoral scholars, graduate students, residents, fellows, clinical, research and administrative staff. 

About UCSF

The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and excellence in patient care. It is the only campus in the 10-campus UC system dedicated exclusively to the health sciences. We bring together the world's leading experts in nearly every area of health. We are home to five Nobel laureates who have advanced the understanding of cancer, neurodegenerative diseases, aging and stem cells.

Pride Values

UCSF is a diverse community made of people with many skills and talents. We seek candidates whose work experience or community service has prepared them to contribute to our commitment to professionalism, respect, integrity, diversity and excellence - also known as our PRIDE values.

In addition to our PRIDE values, UCSF is committed to equity - both in how we deliver care as well as our workforce. We are committed to building a broadly diverse community, nurturing a culture that is welcoming and supportive, and engaging diverse ideas for the provision of culturally competent education, discovery, and patient care. Additional information about UCSF is available here.

Join us to find a rewarding career contributing to improving healthcare worldwide.

Equal Employment Opportunity

The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.

Salary Information

The final salary and offer components are subject to additional approvals based on UC policy.

Your placement within the salary range is dependent on a number of factors including your work experience and internal equity within this position classification at UCSF. For positions that are represented by a labor union, placement within the salary range will be guided by the rules in the collective bargaining agreement.

To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html

Required Qualifications: 

  • Bachelor's degree in Computer / Computational / Data Science, or Domain Sciences with computer / computational / data specialization and minimum three years of experience[SS2.1] or equivalent experience.
  • Proficiency with R, SAS, Stata, or equivalent statistical software
  • Knowledge of statistical methods used in clinical or biomedical research
  • Experience in performing data cleaning, validation, and quality assurance               
  • Ability to prepare publication-quality tables, figures, and reports 
  • Knowledge of Good Clinical Practice (GCP), IRB requirements, and human subject research
  • Strong analytical, organizational, and communication skills
  • Ability to manage multiple priorities and work independently and collaboratively

Key Responsibilities 

List key functions and the estimated percentage of time spent performing each of the responsibilities. Indicate which responsibilities are considered "Essential" to the successful performance of the job as defined by the EEOC: "Essential functions are the basic job duties that an employee must be able to perform. You should carefully examine each job to determine which functions or tasks are essential to performance." 

Example

25%   Essential  Performs basic design, development, modification and debugging of software. Evaluates basic software for functional areas. Analyzes existing software or works to formulate logic for basic systems, prepares basic specifications and performs coding.

of time

Essential Function (Yes/No)

  

Key Responsibilities

(To be completed by Supervisor)

45%

YesDesigns, maintains, and manages clinical research databases (e.g., REDCap); performs data validation, cleaning, quality assurance, and ensuring data integrity and security.

25%

YesConducts statistical analyses using R, SAS, Stata, or similar software; prepares tables, figures, reports, and data summaries for manuscripts, presentations, and grant applications.

15%

YesCollaborates with investigators to interpret research findings; contributes to manuscript preparation, scientific abstracts, and grant proposals.

10%

YesProvides Clinical Research Coordinator support, including assisting with IRB submissions, continuing reviews, regulatory documentation, participant tracking, and study coordination activities.

5%

YesParticipates in research meetings, develops standard operating procedures, maintains study documentation, and ensures compliance with UCSF, IRB, HIPAA, and sponsor requirements.

100%

 (To update total %, enter the amount of time in whole numbers (without the % symbol - e.g., 15, 20) then highlight the total sum (e.g., 1%) at the bottom of the column and press F9. The total sum should add up to 100%.)

  


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