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Data Analytics Director Jobs in San Ramon, CA (NOW HIRING)

TOGETHXR

Head of Data & Analytics

San Jose, CA · On-site

$126 - $154/hr

Partner with the Sporting Director, Head Coach, and global leadership to define and prioritize key data initiatives, aligning resources allocation with the club's most critical performance and ...

Broccoli AI

Data Analytics Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Ad-hoc analyses, segment investigations, partner questions. * Work closely with engineering ... Self-directed: you've been the first or only data person somewhere, or built a data platform from ...

Highwire

Director, Insights & Analytics

San Francisco, CA · Hybrid

$110K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Director, Insights & Analytics plays a critical role in advancing Highwire's data-driven approach to strategic communications and digital marketing. This role is responsible for transforming ...

Highwire

Director, Insights & Analytics

San Francisco, CA · On-site

$110K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Director, Insights & Analytics plays a critical role in advancing Highwire's data-driven approach to strategic communications and digital marketing. This role is responsible for transforming ...

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Showing results 21-40

All JobsData Analytics JobsData Analytics Director JobsData Analytics Director Jobs in San Ramon, CA

Data Analytics Director information

See San Ramon, CA salary details

$79.3K

$176.7K

$273.2K

How much do data analytics director jobs pay per year?

As of Aug 15, 2026, the average yearly pay for data analytics director in San Ramon, CA is $176,698.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,200.00 and $201,200.00 per year, depending on experience, location, and employer.

What is the difference between Data Analytics Director vs Data Scientist?

AspectData Analytics DirectorData Scientist
Required CredentialsBachelor's or Master's in Data Science, Business, or related field; often requires leadership experienceBachelor's, Master's, or Ph.D. in Data Science, Statistics, or related field; technical expertise in modeling
Work EnvironmentLeadership role overseeing analytics teams, strategic planning, and project managementHands-on data analysis, model development, and algorithm implementation
Employer & Industry UsageUsed in corporate, finance, healthcare, and tech sectors for strategic decision-makingCommon in tech, research, and analytics firms for developing data models and insights

The main difference is that a Data Analytics Director focuses on leading analytics teams and strategic initiatives, while a Data Scientist is primarily involved in technical data modeling and analysis. Both roles require strong analytical skills, but the Director role emphasizes leadership and business strategy.

What are the key skills and qualifications needed to thrive as a Data Analytics Director?

To thrive as a Data Analytics Director, you need advanced expertise in data analysis, statistical modeling, and business intelligence, typically supported by a relevant degree and significant experience in analytics leadership. Familiarity with tools such as SQL, Python, R, and data visualization platforms like Tableau or Power BI, along with knowledge of data governance and cloud technologies, is essential. Exceptional leadership, strategic thinking, and communication skills help drive cross-functional collaboration and translate data insights into business value. These competencies are crucial for guiding analytic strategy, ensuring data-driven decision-making, and maximizing organizational impact.

What does a Data Analytics Director do?

A Data Analytics Director is responsible for overseeing the data analytics department within an organization. They lead teams that collect, process, and interpret large sets of data to provide actionable insights for business decision-making. This role involves developing data strategies, implementing analytical tools and techniques, and ensuring data quality and security. The Data Analytics Director also collaborates with other departments to align analytics initiatives with organizational goals and drive data-driven growth.

What are some common challenges faced by a Data Analytics Director when aligning analytics initiatives with business objectives?

A Data Analytics Director often encounters challenges in ensuring that analytics projects are closely aligned with the strategic goals of the organization. This includes bridging communication gaps between technical teams and business stakeholders, prioritizing projects with the highest business impact, and managing expectations regarding what data analytics can deliver. Additionally, it can be challenging to foster a data-driven culture across departments and to secure buy-in for data initiatives. Effective collaboration, clear communication, and a strong understanding of both analytics and business priorities are essential to overcome these hurdles.

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

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

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

The top searched job categories for Data Analytics Director jobs in San Ramon, CA are:

What cities near San Ramon, CA are hiring for Data Analytics Director jobs?

Cities near San Ramon, CA with the most Data Analytics Director job openings:

Data Analytics Director jobs near you
Infographic showing various Data Analytics Director job openings in San Ramon, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $176,698 per year, or $85 per hour.

Director, Medical Analytics and Exploratory Data Science

Revolution Medicines

Redwood City, CA • Hybrid

Full-time

Re-posted 2 days ago

Job description

The Opportunity:

We are seeking a highly motivated and scientifically rigorous Director of Biostatistics to our Medical Analytics and Exploratory Data Science Biostatistics group. This role will provide strategic and hands-on statistical leadership for exploratory data analyses, scientific publications, real-world evidence (RWE), post-marketing research, and health economics and outcomes research (HEOR) initiatives. The successful candidate will serve as a key statistical leader and individual contributor, partnering closely with cross-functional teams to generate high-quality evidence that advances our oncology pipeline and supports medical and scientific strategy.

  • Provide statistical leadership for exploratory data analyses using existing clinical trial data, real world data studies, post-marketing research, and HEOR projects.

  • Serve as a primary statistical contact for assigned projects, working collaboratively with clinical development, medical affairs, safety, statistical programming, regulatory affairs and commercial.

  • Lead the design, analysis, and interpretation of complex statistical models, including survival analysis, machine learning, and casual inference methodologies.

  • Contribute to and implement policies, standards, and procedures to ensure consistency and quality in statistical practices.

  • Manage relationships with external partners, such as contract research organizations (CROs), ensuring adherence to timelines, budgets, and quality standards.

  • Mentor and provide technical guidance to junior statisticians, fostering scientific rigor, innovation, and professional growth.

  • Contribute to regulatory and payers/HTA agencies interactions, scientific publications, abstracts, and internal decision-making through clear and effective communication of statistical results.

Required Skills, Experience and Education:

  • Ph.D. or M.S. in Statistics/Biostatistics, a minimum of 8 years (for Ph.D.) and 12 years (for M.S.) of experience in biotech/pharma industry as a statistician.

  • Solid knowledge of statistical methodologies for oncology, including survival analysis and causal inference.

  • Hands-on experience in exploratory analysis of oncology trials.

  • Proven ability to independently lead statistical aspects of complex, cross-functional projects.

  • Strong understanding of regulatory requirements related to biostatistical activities and clinical trials.

  • Excellent verbal and written communication skills are required.

  • Excellent interpersonal and project management skills are essential.

  • Proficiency in SAS and/or R.

Preferred Skills:

  • Knowledge of RWD and health economics and outcomes research (HEOR) in oncology is a plus.

  • Familiarity with machine learning or advanced modeling approaches applied to biomedical or observational data. 

    #LI-Hybrid  #LI-SH1

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