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Data Analytics Jobs in Santa Rosa, CA (NOW HIRING)

BIOMARIN PHARMACEUTICAL

Sr. Data Scientist 1

Novato, CA · On-site

Through data integration, analytics, and digital transformation initiatives, TOPS enhances process monitoring, deviation analysis, optimization, and strategic capacity planning, ensuring accurate and ...

InnoActive Group

Project Controls Analyst

Sonoma, CA · On-site

Data Analytics & Reporting * Collect, analyze, and interpret project performance data to identify trends and key performance indicators. * Develop meaningful reports and presentations for project ...

Persistent Systems

Delivery Head

Santa Rosa, CA · On-site

$231K/yr

Data & Analytics / Hi-Tech Role Overview We are seeking an accomplished Delivery Head to lead data engineering delivery across a portfolio of Hi-Tech customers -- including semiconductor, hardware ...

Persistent Systems

Delivery Head

Sonoma, CA · On-site

$237K/yr

Data & Analytics / Hi-Tech Role Overview We are seeking an accomplished Delivery Head to lead data engineering delivery across a portfolio of Hi-Tech customers -- including semiconductor, hardware ...

Aquent

Operations Analyst (212649)

Santa Rosa, CA · On-site

Deliver insightful reports and build intuitive dashboards that provide clear visibility into key operational metrics, empowering data-driven decision-making. * Operational Analytics & Reporting:

Aquent

Operations Analyst (212649)

Sonoma, CA · On-site

Deliver insightful reports and build intuitive dashboards that provide clear visibility into key operational metrics, empowering data-driven decision-making. * Operational Analytics & Reporting:

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 ...

Kavaliro

Temporary Marketing Specialist II

Santa Rosa, CA · On-site

$38 - $50/hr

Collaborate with the Market Data Analytics team to develop strategies for tracking conversions, leveraging data for informed decision-making, and targeting marketing efforts to achieve superior ...

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All JobsData Analytics JobsData Analytics Jobs in Santa Rosa, CA

Data Analytics information

See Santa Rosa, CA salary details

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$103

How much do data analytics jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for data analytics in Santa Rosa, CA is $59.86, according to ZipRecruiter salary data. Most workers in this role earn between $48.08 and $67.79 per hour, depending on experience, location, and employer.

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.

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 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 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.

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.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

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, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

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

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

What are popular job titles related to Data Analytics jobs in Santa Rosa, CA?

For Data Analytics jobs in Santa Rosa, CA, the most frequently searched job titles are:

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

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

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

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

Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Santa Rosa, CA as of September 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution, with an average salary of $124,501 per year, or $59.9 per hour.

Postdoctoral Researcher - Age Rejuvenation Screening & Data Analysis

Novato, CA • On-site

Buck Institute
See more jobs at Buck Instituteexternal

$80K - $100K/yr

Full-time

Medical, Retirement, PTO

Re-posted 11 days ago

Job description

POSITION SUMMARY
The Ellerby and Gerencser labs at the Buck Institute seek a Postdoctoral Researcher (PhD required) with expertise in microscopy-based image processing, machine vision, and data operations supporting high-throughput small molecule screening. The lab integrates cell biology, advanced microscopy, robotic automation, and single-cell gene expression techniques to investigate cellular function in health and aging. Current efforts focus on defining youthful and aging-related cellular phenotypes to use in high-throughput screening efforts across multiple labs at the Buck Institute.
The successful candidate will develop and apply image-analysis pipelines, integrate imaging data with internal and external databases, and contribute to collaborative projects across Buck laboratories.
PROJECT OVERVIEW
This role involves developing and implementing algorithms, automated workflows, and analytical tools for modern microscopy and high-content imaging. Projects rely heavily on AI-based and classical segmentation methods, object detection, image registration, and object tracking. The lab uses automated microscopes and a fully robotic high-throughput screening system, generating large datasets requiring scalable, automated pipelines.
The candidate will:
  • Translate biological questions into analytical strategies.
  • Build and maintain image-analysis pipelines (deep learning and classical methods).
  • Work with multiple data modalities, including compound-library databases and phenotypic profiling datasets.
  • Support small-molecule screens, cell-painting-based phenotyping, and high-content imaging workflows.
  • Contribute to automation of data acquisition and experimental design.
Training will be provided in experimental technologies, and the candidate will also participate in experiment execution and data interpretation.
QUALIFICATIONS
Essential Requirements
  • PhD in bioinformatics, computational biology, or a related field
  • Experience with biological image processing and automated/pipeline-based image analysis
  • Proficiency in Python and common scientific/imaging libraries
  • Strong data analysis, database, and biostatistics skills
  • Windows and Linux proficiency
  • Demonstrated research portfolio or publication record
  • Excellent written and oral communication skills
  • Strong time-management skills and the ability to work independently and collaboratively
Desired Skills
  • Experience with data from high-throughput small-molecule screens
  • Experience with laboratory automation and robotic systems
  • Microscopic phenotypic profiling or cell-painting experience
  • Deep-learning tools (CNNs for object detection, instance segmentation, embeddings)
  • GUI development in Python (e.g., Flask, Voila)
  • Pathway analysis or knowledge-graph-based approaches
  • Programming in R
  • Experience with programmatic prompting of large language models
Compensation & Benefits
  • Salary Range: $80,000-100,00 per year, depending on experience and qualifications
  • Dynamic research environment using state-of-the-art techniques
  • Comprehensive benefits package: health insurance, paid parental leave, childcare assistance, generous vacation/sick leave, and a 401(k) with 5% employer match
  • Highly collaborative scientific and social community
ABOUT US
The Buck Institute is dedicated to extending human healthspan by addressing the biological mechanisms of aging. As a leading independent non-profit research institute in Marin County, CA, the Buck brings together experts across multiple disciplines to prevent or delay age-related diseases, including Alzheimer’s, Parkinson’s, cancer, cardiovascular disease, and diabetes.
We are committed to fostering an inclusive, welcoming environment. We strongly encourage applicants who will contribute to the diversity of our community.
Core facilities supporting our research include Microscopy (directed by Dr. Akos Gerencser), Bioinformatics, Flow Cytometry, Single Cell Genomics, Proteomics, Metabolomics, and Mouse Phenotyping and Behavior.
TO APPLY
Please submit your CV, a cover letter describing your research interests, and contact information for 2 references. 
For Additional Information:
Professor Lisa M. Ellerby, Ph.D., and Research Associate Professor Akos Gerencser MD. Ph.D.
lellerby@buckistitute.org   
agerencser@buckinstitute.org 
 

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