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

Head of Data & Analytics

San Jose, CA · On-site

$126 - $154/hr

Position Summary The Head of Data & Analytics will lead the execution and adoption of Bay FC's data strategy, working closely with Bay Collective (a part of the Sixth Street Family) as a part of our ...

New

Position Summary The Head of Data & Analytics will lead the execution and adoption of Bay FC's data strategy, working closely with Bay Collective (a part of the Sixth Street Family) as a part of our ...

Senior Data Analytics Engineer

San Francisco, CA · On-site

$124K - $169K/yr

They are seeking their first data analytics hire to establish and own the data foundation for their growing marketplace, transforming complex data into actionable insights to drive business decisions.

... analytics and metrics optimization. We will need you to assist in collecting data and putting it to practical use, with the end goal of maximizing profits and increasing our efficiency. We are ...

Showing results 41-60

Data Analytics information

See San Ramon, CA salary details

$27

$61

$105

How much do data analytics jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for data analytics in San Ramon, CA is $61.18, according to ZipRecruiter salary data. Most workers in this role earn between $49.18 and $69.33 per hour, depending on experience, location, and employer.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, creating reports, and developing data models using tools like SQL, Excel, and Python or R. Strong analytical skills and knowledge of data visualization are essential for these positions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data specialist, or reporting analyst, focusing on collecting, processing, and analyzing data to support decision-making. They often use tools like Excel, SQL, and data visualization software, and may work in industries like finance, healthcare, marketing, or technology. Strong analytical skills and knowledge of statistical methods are essential for these positions.

What is the work for a data analytics?

A data analyst's work involves collecting, processing, and analyzing data to identify trends, support decision-making, and improve business outcomes. They use tools like Excel, SQL, and data visualization software, and often require strong analytical skills and attention to detail.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

What are the key skills and qualifications needed to thrive as a data analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.
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 jobs in San Ramon, CA look for? The top searched job categories for Data Analytics jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Data Analytics jobs? Cities near San Ramon, CA with the most Data Analytics job openings:
Infographic showing various Data Analytics job openings in San Ramon, CA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $127,256 per year, or $61.2 per hour.

Head of Data & Analytics

Theriseofwomensfootball

San Jose, CA • On-site

$126 - $154/hr

Other

Posted 3 days ago

New


Job description

Job Description

Position Summary

Head of Data & Analytics will lead the execution and adoption of Bay FC’s data strategy, working closely with Bay Collective (a part of the Sixth Street Family) as a part of our global approach to data. This leader will be responsible for overseeing the use, quality and application of information on the sporting side of the club. This individual will build and guide a cohesive analytics function that serves coaching, medical & performance, football operations, and recruitment – ensuring the systems, processes and talent needed to make data a genuine competitive advantage across sporting operations.

The successful candidate will work closely with the Global Director of Data & Technology at Bay Collective, to ensure the technical architecture that powers Bay FC’s insights ecosystem operates effectively, enabling clean, connected, and reliable data flows across departments. At club level, they will collaborate with technical and sporting leadership to translate complex information into clear, actionable insights that directly enhance on‑field performance and player development.

Role Responsibilities Data Strategy & Leadership
  • Execute the club’s data and analytics strategy, aligning with sporting and organizational objectives.
  • 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 operational needs.
  • Oversee the use, governance and quality of data across soccer operations and promote data‑informed decision‑making ensuring privacy, security, and ethical use of information.
  • Standardize data structures and processes in alignment with Bay Collective to enhance cross‑club comparability, shared insights, and multi‑club decision‑making.
  • Implement sustainable data systems, documentation standards, and workflows to ensure analytics processes, models, and insights remain a long‑term legacy for the club.
Infrastructure & Systems
  • Take operational ownership of the Club’s data ecosystem, ensuring pipelines, databases, and automated workflows are effectively implemented, maintained and utilized in coordination with Bay Collective.
  • Ensure seamless flow and integration of information across GPS, biometric, wellness, medical, scheduling and match data.
  • Work closely Bay Collective’s Global Head of Data & Technology to ensure systems are operating and communicating effectively to and from the MCO ecosystem.
  • Ensure all analytical work reinforces the Club’s football philosophy and supports the broader game model.
  • Champion ongoing research and development, positioning the organization as a leader in applied sports analytics.
Performance & Football Intelligence
  • Translate raw match, event, and tracking data into meaningful performance metrics, visualizations, and insights to support the coaching staff and performance team with pre‑match, in‑match, and post‑match analytical reporting.
  • Support the application of predictive tools and risk models developed in close partnership with the performance and medical departments.
  • Collaborate with sports science, medical and coaching staff to connect workload, wellness, and performance outcomes, incorporating key analytics insights into Individual Development Plans (IDPs) to support holistic player development.
  • Support the club’s recruitment by applying and contextualizing player evaluation models, performance benchmarks, and predictive analytics aligned with Bay FC’s playing philosophy.
Reporting & Communication
  • Partner with IT and operations to ensure data compliance, infrastructure integrity, and scalability.
  • Lead education and adoption of data‑driven practices across the club, sharing insights and feedback with Bay Collective to support the ongoing development of data solutions.
  • Collaborate with marketing, fan engagement, and business operations teams as needed for organization‑wide analytics initiatives.
  • Stay responsive to time‑sensitive requests from technical leadership and maintain visibility across club‑wide communications.
Innovation & Research
  • Stay current on emerging data technologies, machine learning methods, and soccer analytics trends.
  • Support the application and evaluation of new data solutions and technologies within the club environment.
  • Represent Bay FC in data‑related partnerships, research collaborations, and industry conferences, strengthening relationships with league vendors and research institutions to keep the club at the forefront of analytics innovation.
Other Duties
  • Maintain accurate reporting, documentation, and data governance for club and league compliance.
  • Other duties as assigned.
The Bay Way
  • Team‑first approach that prioritizes collective success and contributes to a high‑performance culture.
  • Leads with respect, fostering collaborative and inclusive environments.
  • Demonstrates strong self‑awareness, seeks feedback and adapts constructively.
  • Builds trust and is sought out for credibility and reliability.
  • Shows resilience and persistence in building strong networks and relationships.
Requirements
  • Passionate about advancing women’s sports and leveraging data to elevate performance, wellbeing, and recruitment across players and teams.
  • 5-7+ years of experience in data science, performance analysis, or analytics roles within professional football or elite sports.
  • Hands‑on background with player monitoring technologies.
  • Familiarity with football specific data platforms (e.g. Statsbomb, Skillcorner) and video tools (Hudl, Wyscout, Sportscode).
  • Prior success scaling data systems, pipelines and reporting infrastructure in a sporting environment.
  • Fluency in Python, R/Shiny, and SQL.
  • Advanced proficiency in Tableau or a comparable visualization platform.
  • Proven leadership experience overseeing data teams or analytics functions in a high‑performance sporting environment.
  • Excellent communication skills, with the ability to translate complex data into clear insights for technical and non‑technical audiences.
  • Ability to work non‑traditional hours, including evenings, weekends, holidays, and travel with the team.
Compensation

The anticipated salary for this role starts at $140,000. Actual starting pay may vary based on a range of factors which can include experience, skills, and scope.

Bay FC is an equal opportunity employer to all, regardless of age, ancestry, color, disability (mental and physical), exercising the right to family care and medical leave, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, political affiliation, race, religious creed, sex (includes pregnancy, childbirth, breastfeeding and related medical conditions), and sexual orientation, or any other characteristics protected by applicable federal, state or local laws.

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