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Senior Analytics Manager Jobs in San Ramon, CA (NOW HIRING)

Walmart

Manager, Advanced Analytics

Sunnyvale, CA · On-site

$104K - $202K/yr

Manager, Advanced Analytics Job Location: 1375 Crossman Avenue, Sunnyvale, CA 94089 Duties ... Works with leadership/business partners (e.g., Senior Directors, Directors) to discuss and ...

Ra

Customer Analytic Manager

San Jose, CA

Job Title: Customer Analytics Manager Job Location: Anywhere in USA, Saint Petersburg, FL Job Level: Senior Level This is what you will do.. You will help to grow clients practice in the ...

Ra

Customer Analytic Manager

San Francisco, CA

Customer Analytics Manager Job Location: Anywhere in USA, San Francisco, California, United States Job Level: Senior Level This is what you will do.. You will help to grow clients practice in the ...

Faire

Senior Analytics Engineer - GTM

San Francisco, CA · On-site

$196K - $269K/yr

Optimize processes for operational excellence in project management and system reliability ... Minimum qualifications * 4+ years experience in analytics & data engineering roles focused on data ...

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All JobsAnalytics JobsSenior Analytics Manager JobsSenior Analytics Manager Jobs in San Ramon, CA

Senior Analytics Manager information

See San Ramon, CA salary details

$50.3K

$127.9K

$188.3K

How much do senior analytics manager jobs pay per year?

As of Jul 16, 2026, the average yearly pay for senior analytics manager in San Ramon, CA is $127,925.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $150,900.00 per year, depending on experience, location, and employer.

What does a Senior Analytics Manager do?

A Senior Analytics Manager leads a team of analysts to interpret data, develop insights, and inform business strategy. They are responsible for overseeing data collection, ensuring data quality, and presenting actionable findings to stakeholders. In addition, they often collaborate cross-functionally with other departments to support decision-making and optimize business processes. Senior Analytics Managers also play a major role in mentoring team members and implementing best practices in data analysis.

What are the key skills and qualifications needed to thrive as a Senior Analytics Manager, and why are they important?

To thrive as a Senior Analytics Manager, you need advanced analytical skills, a solid background in statistics or data science, and experience leading analytics projects, often supported by a relevant degree. Proficiency in tools such as SQL, Python, R, and business intelligence platforms like Tableau or Power BI, as well as certifications in analytics or data management, is highly valued. Exceptional leadership, communication, and problem-solving abilities help drive team performance and translate data insights into business strategy. These competencies are crucial for delivering actionable insights, influencing decision-making, and ensuring data-driven success across the organization.

What are the main challenges Senior Analytics Managers face when leading cross-functional analytics projects?

Senior Analytics Managers often encounter challenges such as aligning stakeholders from different departments, managing competing priorities, and ensuring data consistency across sources. Effective communication is essential to translate complex analytical insights into actionable strategies that resonate with both technical and non-technical team members. Additionally, they must balance hands-on analytical work with mentoring junior analysts and driving project delivery to meet organizational goals.

What is the difference between Senior Analytics Manager vs Data Analyst?

AspectSenior Analytics ManagerData Analyst
Required CredentialsBachelor's/Master's in Analytics, Statistics, or related field; experience in leadership rolesBachelor's degree in Data Science, Statistics, or related field; entry to mid-level experience
Work EnvironmentLeads teams, manages projects, collaborates with executivesAnalyzes data, prepares reports, supports decision-making
Employer & Industry UsageCommon in corporate, finance, tech sectors for strategic insightsUsed across various industries for data interpretation and reporting

The Senior Analytics Manager typically oversees analytics teams, manages strategic projects, and interacts with leadership, requiring more experience and leadership skills. Data Analysts focus on data collection, analysis, and reporting, often supporting Senior Managers. The roles differ mainly in scope, responsibility, and seniority, but both require strong analytical skills and relevant credentials.

What are popular job titles related to Senior Analytics Manager jobs in San Ramon, CA? For Senior Analytics Manager jobs in San Ramon, CA, the most frequently searched job titles are:
What cities near San Ramon, CA are hiring for Senior Analytics Manager jobs? Cities near San Ramon, CA with the most Senior Analytics Manager job openings:
Senior Analytics Manager jobs near you
Senior Analytics Engineer - Marketplace

Senior Analytics Engineer - Marketplace

Faire

San Francisco, CA • On-site

$196K - $269K/yr

Other

Posted 5 days ago

Job description

About the role

Are you passionate about using data to shape the future of Faire's product features for small and medium businesses (SMBs)? If so, we want to talk to you! We're looking for a technical leader in our team to work closely with Data Scientists, Product Analysts and Software Engineers to support product launches and roadmaps by designing and building data capabilities that inform and drive insights. In this role, you'll see a direct link between your work, company growth, and user satisfaction. You'll work with A tier players, work with one of the richest data sets in the world, use cutting-edge technology, and see your efforts affect products and SMBs regularly.

Join us and be part of a team that values data-driven innovation and excellence.

What You Will Do

The ideal candidate will possess a perfect blend of analytics and data engineering expertise, along with strong skills in developing and supporting large-scale, high-performance data storage and processing systems. They should have a proven track record of collaborating with key stakeholders to execute on company-wide data initiatives. 

  • Lead cross-team and/or multi-phase projects from design through implementation, fostering collaboration with cross-functional partners.
  • Lead the technical execution in building scalable data models and pipelines for a domain defining the architecture, feature requirements, roadmap.
  • Build data pipelines with rigorous approaches to data quality, validation, testing, and observability.
  • Optimize processes for operational excellence in project management and system reliability.
  • Ensure security standards are met within data systems and workflows. 
  • Ensure and promote data quality standards for accurate and reliable insights.
  • Embrace emerging technologies with enthusiasm.

Minimum qualifications

  • 4+ years experience in analytics & data engineering roles focused on data modeling, large-scale data processing, and tool development for analytics or data science use cases.
  • Demonstrated communication and leadership skills, with a history of initiating and steering successful projects across multiple stakeholders.
  • Production-level development experience in Python.
  • Strong SQL skills with demonstrable competencies in designing well-architected data models and optimizing query performance.
  • Deep experience and knowledge of data warehousing concepts, ETLs, big data technologies, and analytics platforms.
  • Experience with Airflow, Docker, DBT or similar analytics workflow tools.
  • BA/BS degree in Computer Science, Math, Physics, or a related technical field.

Salary Range

San Francisco: the pay range for this role is $196,000 to $269,500 per year.

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

Faire uses Artificial Intelligence (AI) to screen and select applicants for this position.

This job posting is for an existing vacancy.

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