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Data Analysis Manager Jobs in Santa Rosa, CA (NOW HIRING)

Essential Oxygen

Marketing Analytics Manager

Novato, CA · On-site

$35 - $45/hr

Partner with the Brand Marketing Manager and E-Commerce Manager to evaluate campaign effectiveness ... analysis, landing page performance, and customer journey optimization. * Provide data-driven ...

Essential Oxygen

Marketing Analytics Manager

Novato, CA · Remote

$35 - $45/hr

Partner with the Brand Marketing Manager and E-Commerce Manager to evaluate campaign effectiveness ... analysis, landing page performance, and customer journey optimization. * Provide data-driven ...

Frederick Fox

Head of Data Management

Sonoma, CA · On-site

You will hire and develop a small, senior group of data, analytics and software engineers capable ... M and billing. • Evaluate the existing data foundation, identify what is missing and make ...

Aquent

Operations Analyst (212649)

Santa Rosa, CA · On-site

Workforce Management Analyst Client Location: Hybrid; Foster City CA (3 Days Onsite/Weekly) Pay ... Data Analysis & Reporting: Dive deep into operational and workforce-related datasets to uncover ...

Frederick Fox

Head of Data Management

Santa Rosa, CA · On-site

You will hire and develop a small, senior group of data, analytics and software engineers capable ... M and billing. • Evaluate the existing data foundation, identify what is missing and make ...

Aquent

Operations Analyst (212649)

Sonoma, CA · On-site

Workforce Management Analyst Client Location: Hybrid; Foster City CA (3 Days Onsite/Weekly) Pay ... Data Analysis & Reporting: Dive deep into operational and workforce-related datasets to uncover ...

2K

Manager, FP&A

Novato, CA · On-site

$128K - $174K/yr

What We Need The Manager, FP&A serves as the critical financial bridge between the Studio ... Translate complex P&L data into actionable business narratives that help Studio Heads make informed ...

2K

Manager, FP&A

Novato, CA · On-site

$128K - $174K/yr

What We Need The Manager, FP&A serves as the critical financial bridge between the Studio ... Translate complex P&L data into actionable business narratives that help Studio Heads make informed ...

RTX

Master Data Planner (Onsite)

El Verano, CA · On-site

$95K - $181K/yr

Strong Excel skills for data analysis (e.g. Pivot Tables) Qualifications We Prefer * Aerospace industry experience * Energetic management & planning experience * Knowledge of Bill of Materials (BoM ...

Northbay Recruiter

Payroll Manager

Santa Rosa, CA · On-site

$120K - $140K/yr

Experience managing payroll across multiple states, working with HRIS platforms, interpreting payroll tax and wage-and-hour requirements, and using Excel for data analysis, reconciliations, formulas ...

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Showing results 21-40

All JobsData Analysis JobsData Analysis Manager JobsData Analysis Manager Jobs in Santa Rosa, CA

Data Analysis Manager information

See Santa Rosa, CA salary details

$24.6K

$96.9K

$157.4K

How much do data analysis manager jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data analysis manager in Santa Rosa, CA is $96,939.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,200.00 and $118,600.00 per year, depending on experience, location, and employer.

What does a data analysis manager do?

A Data Analysis Manager oversees teams that collect, process, and interpret data to help organizations make informed business decisions. They are responsible for managing data projects, ensuring data quality, and translating complex data findings into actionable insights for stakeholders. Additionally, they often coordinate with other departments, set analytical strategies, and mentor data analysts. Their role is crucial for driving data-driven decision-making in a company.

What are the key skills and qualifications needed to thrive as a data analysis manager?

To thrive as a Data Analysis Manager, you need advanced analytical skills, a strong background in statistics or data science, and relevant experience often backed by a degree in mathematics, computer science, or a related field. Expertise in tools such as SQL, Python, R, and business intelligence platforms, along with proficiency in data visualization software like Tableau or Power BI, is typically required. Leadership, effective communication, and problem-solving abilities are crucial soft skills for managing teams and translating complex data insights into actionable business strategies. These skills and qualities are essential for driving data-informed decision-making and ensuring the success of analytics initiatives within an organization.

How does a data analysis manager typically collaborate with other departments within an organization?

A Data Analysis Manager regularly partners with teams such as marketing, finance, operations, and IT to identify data needs and translate business questions into actionable analysis. They facilitate communication between data analysts and stakeholders, ensuring that data insights are aligned with organizational goals. By leading cross-functional meetings and presenting findings to non-technical audiences, they help drive data-informed decision-making across the company. This collaborative approach not only enhances the impact of analytics but also fosters a culture of data literacy throughout the organization.

What is the difference between Data Analysis Manager vs Data Analyst?

AspectData Analysis ManagerData Analyst
ResponsibilitiesOversees data analysis projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to support business decisions
Required SkillsLeadership, project management, advanced analyticsStatistical analysis, data visualization, technical skills
QualificationsBachelor's or master's in data science, statistics, or related field; experience in managementBachelor's in data science, statistics, or related field; technical proficiency
Work EnvironmentTypically in corporate offices, leading teamsOften in office or remote, focused on individual analysis tasks

The main difference between a Data Analysis Manager and a Data Analyst lies in scope and responsibilities. The manager oversees teams and strategic projects, while the analyst focuses on executing data analysis tasks. Both roles require strong analytical skills and relevant qualifications, but the manager's role emphasizes leadership and project management.

What are the most commonly searched types of Data Analysis jobs in Santa Rosa, CA?

The most popular types of Data Analysis jobs in Santa Rosa, CA are:

What job categories do people searching Data Analysis Manager jobs in Santa Rosa, CA look for?

The top searched job categories for Data Analysis Manager jobs in Santa Rosa, CA are:

What cities near Santa Rosa, CA are hiring for Data Analysis Manager jobs?

Cities near Santa Rosa, CA with the most Data Analysis Manager job openings:

Data Analysis Manager jobs near you
Infographic showing various Data Analysis Manager job openings in Santa Rosa, CA as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $96,939 per year, or $46.6 per hour.

Bioinformatics & Data Scientist or Postdoctoral Researcher- Furman lab

Buck Institute

Novato, CA • On-site

$80K - $85K/yr

Full-time

Medical, Retirement, PTO

Re-posted 28 days ago

Key responsibilities

  • Analyze diverse biological and clinical datasets, including proteomics, metabolomics, methylomics, survey data, and multi-omics datasets.

  • Curate, organize, and manage research data, supporting data harmonization, quality control, and documentation.

  • Collaborate with scientific and administrative teams to contribute to grant applications, scientific reports, and data visualizations.

Job description

Position Summary
The Buck Institute for Research on Aging is seeking a full-time Bioinformatics and Data Scientist or Postdoctoral Researcher to join a collaborative research team focused on aging, multi-omics, computational biology, and translational data science.
This position offers a unique opportunity to work in an academic research environment with a close-knit, interdisciplinary team while collaborating with leading experts in aging biology, bioinformatics, clinical research, and computational science. The successful candidate will contribute to a five-year government-funded project focused on advancing computational and multi-omics approaches to better understand human aging, biological resilience, and healthspan. This role will support broader nationwide efforts to develop data-driven approaches that may ultimately improve how aging and age-related disease risk are measured, modeled, and addressed.
The ideal candidate will have strong experience in bioinformatics, statistics, computational biology, human omics data analysis, and scientific communication. The position is well suited for an independent, highly motivated scientist who enjoys working across disciplines and contributing to both discovery-driven and translational research.
Key Responsibilities
1. Perform bioinformatics and data science analyses.
The successful candidate will analyze diverse biological and clinical datasets, including but not limited to:
  • Proteomics
  • Metabolomics
  • Methylomics
  • Survey data
  • Integrative multi-omics datasets
  • Human biological aging and omics-clock data
  • Drug repurposing analyses
  • Enrichment and pathway analyses
  • Dimensionality reduction and clustering
  • Classification methods, including random forests and support vector machines
  • Neural network-based approaches
  • Simple and multiple linear regression
  • Parametric and non-parametric statistical analyses
2. Analyze, curate, and manage research data
Responsibilities will include:
  • Curating, organizing, and preparing data for analysis and upload to central repositories
  • Supporting data harmonization across projects, cohorts, and collaborators in accordance with data use agreements
  • Reviewing and improving standard operating procedures for data transfer, quality control, and management
  • Coordinating with internal and external teams to ensure timely collection, transfer, and analysis of data
  • Attending project meetings and contributing to improvements in data workflows, systems, and documentation
  • Ensuring data quality, reproducibility, and compliance with project requirements
3. Collaborate with scientific and administrative teams
The candidate will work closely with staff members, research scientists, computational biologists, principal investigators, and external collaborators. Responsibilities may include:
  • Contributing to grant applications, progress reports, and scientific proposals
  • Supporting manuscript preparation and journal article writing
  • Creating publication-quality figures, tables, and data visualizations
  • Presenting analyses and findings to interdisciplinary research teams
  • Helping translate complex computational results into clear biological and scientific interpretations
Qualifications
Required Education and Experience
  • Strong background in both human biology and bioinformatics
  • PhD in Computational Biology, Bioinformatics, Data Science, Biostatistics, Systems Biology, Computer Science, or a related field
  • Minimum of 2 years of professional experience in a biological, biomedical, or computational research environment
  • Strong proficiency in R, Python, and Bash scripting
  • Demonstrated experience analyzing biological or biomedical datasets
  • Experience developing, implementing, and running bioinformatics workflows
Required Skills
  • Strong analytical, mathematical, and creative problem-solving skills
  • Excellent written and oral communication skills
  • Ability to work both independently and collaboratively in a team-based research environment
  • Strong organizational skills and attention to detail
  • Ability to prioritize and execute multiple tasks across concurrent projects
  • Experience with reproducible data analysis practices and documentation
  • Ability to communicate technical results to both computational and non-computational audiences
  • Interest in applying large language models, agentic AI, or related computational tools to biomedical research workflows
Preferred Qualifications
  • Experience with FDA approval process
  • Experience with building apps
Compensation and Benefits
  • Salary range: $80,000–$85,000, commensurate with experience
  • Full-time, onsite position
  • Exciting, collaborative work environment at the forefront of aging research
  • Opportunity to work with state-of-the-art technologies and interdisciplinary scientific teams
  • Generous benefits package, including:
    • Health insurance
    • Paid parental leave
    • Generous paid time off
    • 401(k) with 5% employer match
  • Work visa sponsorship available for qualified candidates
About the Buck Institute
Our success will ultimately change healthcare. At the Buck Institute for Research on Aging, we aim to end the threat of age-related diseases for this and future generations by bringing together the most capable and passionate scientists from a broad range of disciplines to identify and impede the ways in which we age.
The Buck is an independent, nonprofit institution located in Marin County, California, with the goal of increasing human healthspan, or the healthy years of life. Globally recognized as a pioneer and leader in efforts to target aging — the number one risk factor for diseases including Alzheimer’s disease, Parkinson’s disease, cancer, macular degeneration, heart disease, and diabetes — the Buck seeks to help people live better longer.
We are an equal opportunity employer and strive to create an atmosphere where diversity of identity, experience, and background are welcomed, valued, and supported. Candidates who contribute to this diversity are strongly encouraged to apply.
To Apply
Interested candidates should click the Apply button to complete the online application.
Please upload both:
  1. Your CV
  2. A brief statement of research interests, including the names and contact information for three references.

 

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