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

Bank of Montreal

Sr. Data Analyst

San Ramon, CA · On-site

$65K - $140K/yr

Data Analytics & Reporting Build trusted data. Shape the future with AI. We're looking for a curious, analytical, and business-minded Senior Data Governance Analyst to help improve how Commercial ...

New

BMO Financial

Sr. Data Analyst

San Ramon, CA · On-site

$65K - $140K/yr

Data Analytics & Reporting Build trusted data. Shape the future with AI. We're looking for a curious, analytical, and business-minded Senior Data Governance Analyst to help improve how Commercial ...

New

Zipline

Senior Data Analyst

South San Francisco, CA · On-site

$140K - $180K/yr

As a member of Zipline's centralized Data Science & Analytics team, you will serve as an embedded business and analytics partner to stakeholders across Marketing, Commercial, and Growth. You will ...

Green Dot Corporation

Senior Data Analyst

San Francisco, CA · Hybrid

$101K - $127K/yr

In this role, you will own the full analytics lifecycle, from building data pipelines and writing structured SQL queries in AWS Redshift, to developing compelling Tableau dashboards and automated ...

Namely

Senior Data Analyst

South San Francisco, CA · On-site

$140 - $180/hr

As a member of Zipline's centralized Data Science & Analytics team, you will serve as an embedded business and analytics partner to stakeholders across Marketing, Commercial, and Growth. You will ...

Zipline

Senior Data Analyst

South San Francisco, CA

$140K - $180K/yr

As a member of Zipline's centralized Data Science & Analytics team, you will serve as an embedded business and analytics partner to stakeholders across Marketing, Commercial, and Growth. You will ...

Tailored Brands

Sr Data Analyst - Store Analytics

Dublin, CA · On-site +1

$96K - $122K/yr

The Sr Data Analyst - Store Analytics serves as a strategic analytics partner to Stores leadership and enterprise leaders, driving deeper understanding of store performance through diagnostic and ...

QuinStreet

Senior Data Analyst

Foster City, CA · Remote

$80K - $130K/yr

You will be required to develop a deep understanding of the related data sources and leverage them to inform business decisions. You will be required to develop a deep understanding of our analytical ...

Capgemini

Senior Data Analyst

Pittsburg, CA · On-site

$105 - $115/hr

Data analysts import, inspect, clean, transform, validate, model, or interpret collections of data with regard to the business goals of the company. They ensure that the data sources and repositories ...

Fivetran, Inc.

Senior Data Analyst, People

Oakland, CA · On-site

$156 - $195/hr

About This Role We're hiring a Senior Data Analyst to support our People organization , using data to help Fivetran attract, develop, engage, and retain exceptional talent as we scale. You'll work ...

Rippling

Senior Data Analyst - Payments

San Francisco, CA · On-site

$114 - $190/hr

About the role Rippling's Payments Data & Analytics team is seeking an experienced and highly skilled Senior Data Analyst - Payments to join our rapidly expanding team. In this pivotal role, you will ...

Fivetran

Senior Data Analyst, People

Oakland, CA · On-site

$98K - $124K/yr

About This Role We're hiring a Senior Data Analyst to support our People organization , using data to help Fivetran attract, develop, engage, and retain exceptional talent as we scale. You'll work ...

Rippling

Senior Data Analyst - Payments

San Francisco, CA · On-site

$114K - $190K/yr

About the role Rippling's Payments Data & Analytics team is seeking an experienced and highly skilled Senior Data Analyst - Payments to join our rapidly expanding team. In this pivotal role, you will ...

Fivetran

Senior Data Analyst, People

Oakland, CA · On-site

$98K - $124K/yr

About This Role We're hiring a Senior Data Analyst to support our People organization , using data to help Fivetran attract, develop, engage, and retain exceptional talent as we scale. You'll work ...

Fivetran

Senior Data Analyst, Revenue

Oakland, CA · On-site

$98K - $124K/yr

About This Role We're hiring a Senior Data Analyst, Revenue to support our CFO and Finance organization on some of the most complex and consequential analytical problems at Fivetran. This role sits ...

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

Senior Data Analyst information

See San Ramon, CA salary details

$61.5K

$110.9K

$151.4K

How much do senior data analyst jobs pay per year?

As of Sep 6, 2026, the average yearly pay for senior data analyst in San Ramon, CA is $110,892.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,100.00 and $121,200.00 per year, depending on experience, location, and employer.

What is a senior data analyst?

Senior Data Analysts are experienced professionals who collect, process, and analyze complex data sets to help organizations make data-driven decisions. They often lead analytics projects, design data models, and communicate findings to stakeholders using reports and visualizations. In addition to technical expertise with tools like SQL, Python, or R, they frequently mentor junior analysts and work closely with business leaders to identify opportunities for improvement. Their insights can drive strategy, optimize operations, and support organizational goals.

What does a senior data analyst do?

A senior data analyst develops and leads a team of data analysts in business or research projects. Job duties include consulting with other departments and management, conducting research using analytical tools, developing business solutions, and writing reports. Qualifications for a career as a senior data analyst include a bachelor’s degree in statistics, computer science, or a related field; job experience in data analytics; familiarity with data modeling languages such as R and Python; and leadership skills.

What are some common challenges senior data analysts face when collaborating with cross-functional teams?

Senior Data Analysts often work closely with departments such as product, marketing, and engineering to align data insights with business objectives. A common challenge is translating complex data findings into actionable recommendations for non-technical stakeholders. Additionally, balancing multiple priorities and managing expectations across teams can require strong communication and project management skills. Proactively building relationships and maintaining open lines of communication can help overcome these challenges and ensure successful collaboration.

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

To thrive as a Senior Data Analyst, you need advanced analytical skills, a strong foundation in statistics, and experience with data modeling, typically supported by a relevant degree in mathematics, statistics, or computer science. Expertise in data visualization tools (like Tableau or Power BI), SQL, and programming languages such as Python or R is often required, along with familiarity with big data platforms. Outstanding problem-solving, communication, and stakeholder management skills set top performers apart. These competencies ensure accurate data-driven insights and effective collaboration with business teams to drive strategic decision-making.

What is the difference between Senior Data Analyst vs Data Scientist?

AspectSenior Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; experience in analytics toolsBachelor's or master's in data science, statistics, or related fields; often more advanced certifications
Work EnvironmentBusiness intelligence teams, analytics departmentsResearch teams, data science departments, R&D
Employer & Industry UsageFinance, healthcare, retail, tech companiesTech firms, startups, research institutions
Common Search & ComparisonOften compared for analytical roles with data scienceMore advanced, predictive modeling focus

The main difference between a Senior Data Analyst and a Data Scientist lies in their focus and skill set. Senior Data Analysts primarily handle data analysis, reporting, and visualization, while Data Scientists work on predictive modeling, machine learning, and advanced algorithms. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and statistical modeling.

How much is a senior data analyst paid?

The average salary for a senior data analyst typically ranges from $70,000 to $110,000 annually, depending on experience, location, and industry. Professionals with advanced skills in SQL, Python, or data visualization tools may earn higher compensation, especially in competitive markets.

Is a senior data analyst a good job?

A senior data analyst is a well-regarded role that involves analyzing complex data sets, creating reports, and providing insights to support business decisions. It typically requires strong skills in SQL, Excel, and data visualization tools, and offers opportunities for career advancement and competitive salaries.
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Infographic showing various Senior Data Analyst job openings in San Ramon, CA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $110,892 per year, or $53.3 per hour.

Sr. Data Analyst

Bank of Montreal

San Ramon, CA • On-site

$65K - $140K/yr

Full-time

Medical, Life, Retirement

Posted 3 days ago

New

Job description

Application Deadline:
09/20/2026
Address:
2623 Camino Ramon
Job Family Group:
Data Analytics & Reporting
Build trusted data. Shape the future with AI.
We're looking for a curious, analytical, and business-minded Senior Data Governance Analyst to help improve how Commercial Banking manages, governs, and leverages data. This is not a traditional governance role focused solely on policies and documentation. You'll investigate complex data issues, identify root causes, build data quality controls, automate governance processes, and help modernize the function through AI and emerging technologies. Working closely with business leaders, technology teams, data stewards, and analytics partners, you'll ensure critical business data is accurate, trusted, and ready to support better decision-making. If you enjoy solving data problems, improving processes, working with SQL and automation tools, and finding innovative ways to turn trusted data into business value, we'd love to hear from you.
What You'll Do
  • Design, develop, and maintain data quality controls across critical Commercial Banking data assets.
  • Use SQL and Python to perform data profiling, reconciliation, monitoring, and root-cause analysis.
  • Build automated frameworks to identify, monitor, and remediate data quality issues.
  • Apply AI and agentic technologies to automate governance activities and improve operational efficiency.
  • Partner with business, data, and technology teams to establish accountability for data quality and governance.
  • Develop and maintain metadata, business definitions, lineage, and governance documentation.
  • Support identification and remediation of critical data issues.
  • Build dashboards and metrics that measure governance effectiveness and data quality performance.
  • Contribute to regulatory, risk management, and compliance initiatives.
  • Identify opportunities to modernize governance processes using emerging technologies.
  • Promote a culture where data is treated as a strategic business asset.

What You'll Bring
Required Qualifications
  • 5+ years of experience in Data Governance, Data Management, Data Quality, Data Analytics, or a related discipline.
  • Strong SQL skills with experience analyzing and validating large datasets.
  • Strong Python programming and automation experience.
  • Experience designing and implementing data quality controls and monitoring frameworks.
  • Knowledge of data governance principles, metadata management, lineage, and data stewardship.
  • Experience collaborating with both business and technology stakeholders.
  • Strong analytical thinking and problem-solving abilities.
  • Excellent written and verbal communication skills.
  • Demonstrated ability to operate independently and manage competing priorities.
  • Experience using AI-assisted tools to improve productivity and business outcomes.

Preferred Qualifications
  • Experience with Agentic AI frameworks and AI orchestration platforms.
  • Knowledge of Microsoft Copilot, Azure AI, OpenAI, LangChain, or similar technologies.
  • Experience with Microsoft Purview, Collibra, Informatica, Alation, or comparable governance tools.
  • Experience using Power BI or Tableau.
  • Banking, commercial lending, risk management, or financial services experience.
  • Understanding of regulatory data management and controls.
  • Experience with cloud platforms such as Azure or AWS.

What Success Looks Like
In your first year, you will:
  • Increase automation of governance and data quality processes.
  • Build scalable data quality controls for critical business data.
  • Improve visibility into data health through monitoring and reporting.
  • Expand governance coverage through AI-enabled workflows.
  • Help business teams make faster, more confident decisions using trusted data.

Salary:
$65,000.00 - $140,000.00
Pay Type:
Salaried
The above represents BMO Financial Group's pay range and type.
Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.
BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards
About Us
At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.
As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset.
To find out more visit us at http://jobs.bmo.com/us/en
BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.
BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to BMOCareers.Support@bmo.com and let us know the nature of your request and your contact information.
Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.
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About BMO

Sourced by ZipRecruiter

BMO, or Bank of Montreal, is one of the biggest multinational banking and financial services corporations in North America. Developed in 1817, BMO's American headquarters are located ideally in Chicago, Illinois while its main world headquarters are situated in Montreal. The bank operates in a multitude of sectors including personal and commercial banking, wealth management and investment banking products and solutions. Over the years, BMO has been recognized for its commitment to doing what's right for its customers, employees, and society.

Industry

Banking and credit intermediation

Company size

5,001 - 10,000 Employees

Headquarters location

Chicago, IL, US

Social media

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