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

Cloud Data Engineer

Napa, CA · On-site

$115K - $151K/yr

Collaborate with technical analysts, business analysts, and line of business stakeholders to understand data requirements and implement appropriate data solutions. * Ensure data is cleansed, mapped ...

Cloud Data Engineer

Napa, CA · On-site

$115K - $151K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This role requires a combination of technical skills, analytical problem-solving, and collaboration with cross-functional teams to achieve data-driven goals. Key Responsibilities o Design and ...

Cloud Data Engineer

Santa Rosa, CA · On-site

$115K - $151K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This role requires a combination of technical skills, analytical problem-solving, and collaboration with cross-functional teams to achieve data-driven goals. Key Responsibilities o Design and ...

AI Data Scientist-Furman lab

Novato, CA · On-site

$60K - $75K/yr

  • Medical

  • Retirement

  • PTO

... Data Scientist / Agentic AI Engineer to join a collaborative research team focused on aging ... This role will help develop innovative AI-enabled systems for organizing, harmonizing, analyzing ...

Senior Manager, Site Inventory

Santa Rosa, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Analytics & Insights * Utilize data analytics to identify inventory optimization opportunities and develop business cases. * Lead inventory reviews and present actionable insights to leadership ...

Senior Manager, Site Inventory

Santa Rosa, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Analytics & Insights * Utilize data analytics to identify inventory optimization opportunities and develop business cases. * Lead inventory reviews and present actionable insights to leadership ...

Master Data Planner (Onsite)

El Verano, CA · On-site

$95K - $181K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Master Data Planner (Onsite)

El Verano, CA

$181K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Showing results 41-60

Data Analytics information

See Santa Rosa, CA salary details

$26

$59

$103

How much do data analytics jobs pay per hour?

As of Aug 20, 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:

Infographic showing various Data Analytics job openings in Santa Rosa, CA as of August 2026, with employment types broken down into 33% Full Time, 33% Part Time, and 34% Contract. Highlights an 100% In-person job distribution, with an average salary of $124,501 per year, or $59.9 per hour.

Cloud Data Engineer

Kavaliro

Napa, CA • On-site

$115K - $151K/yr

Full-time

Posted 13 days ago


Job description

Job Description
Our client is seekding a Cloud Data Engineer for a direct hire opportunity. The Cloud Data Engineer's responsibilities include designing, implementing, and managing data solutions on Microsoft Azure and other cloud platforms. Oversee the creation and maintenance of data pipelines, storage solutions, processing, analysis, and integration to facilitate data-driven decision-making. This role requires a combination of technical skills, analytical problem-solving, and collaboration with cross-functional teams to achieve data-driven goals.
Pay Rate: $115,037 to $151,561 annually commensurate with experience
DUTIES:
  • Design and implement scalable and secure data processing pipelines and storage environments using cloud services and tools.
  • Collaborate with technical analysts, business analysts, and line of business stakeholders to understand data requirements and implement appropriate data solutions.
  • Ensure data is cleansed, mapped, transformed, and otherwise optimized for storage and use according to business and technical requirements.
  • Build effective data pipelines and workflows to streamline data ingestion, processing, and distribution tasks.
  • Load transformed data into storage and reporting structures in destinations including data warehouse, reporting systems and analytics applications.
  • Monitor and troubleshoot issues with the data environment to maintain high availability and performance.
  • Provide on-call support for critical production systems.
  • Implement data security measures, including encryption, access controls, and auditing, to protect sensitive information.
  • Utilize analytics services to provide actionable insights and support data-driven decision-making.
  • Maintain effective documentation regarding data procedures, systems, and architectures to maintain clarity and ensure compliance with regulatory standards.
  • Mentor IT staff on security best practices and emerging technologies.
  • Participate in continuous learning to stay current with cybersecurity advancements.
  • Collaborate with colleagues to draft technology plans that enhance security posture.
  • Manage the relationship with the System Integrator.
  • Review Statements of Work (SOWs), deliverables, and invoices.
  • Measure SI performance against KPIs and SLAs.
  • Resolve contractual or delivery issues.

REQUIREMENTS:
  • The ideal candidate has a combination of education and experience equivalent to a bachelor's degree in computer science or closely related field
  • Minimum of five plus years of Azure migration experience.
  • Proven experience using data processing languages such as Python and SQL.
  • Experience with Azure: Data Factory, Databricks, Data Lake Storage, SQL DW, Analysis Services, and API - PySpark.
  • ETL experience in a data warehouse environment using slowly changing dimensions.
  • Experience building and optimizing 'big data' data pipelines, architectures, and data sets.
  • Ability to multi-task in a fast-paced environment.
  • Ability to prioritize tasks and projects using a browser -based tracking system.
  • Familiarity with JIRA preferred.
  • Current knowledge of laws, rules, and regulations pertaining to information technology relating to financial institutions.
  • Ability to work independently with limited supervision.
  • Ability to effectively interact and communicate with outside vendors and internal clients.
  • Ability to communicate effectively both verbally and in writing.
  • Ability to establish and maintain effective working relationships with a diverse group of people.
  • Expereince working with an "SI" (System Integrator)
  • Experience managing of 500 - 800+ pipelines during a large-scale enterprise cloud migration
Kavaliro provides Equal Employment Opportunities to all employees and applicants. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Kavaliro is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Kavaliro will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please respond to this posting to connect with a company representative.
Job Requirements
On-Site
By using best practices and optimal employee recruiting strategies, Kavaliro provides employers with employment solutions by providing the most qualified and professional employees, who can staff both project and permanent positions in order to ensure the ongoing success of all types of businesses. We use a streamlined-yet-thorough approach to staffing that saves our clients administrative time, resources and money.