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

Aquent

Data Analyst (212647)

Sonoma, CA · On-site

Empower self-service analytics by creating well-documented datasets, reports, and dashboards for broader organizational use. * Clearly communicate complex data findings and recommendations to both ...

Aquent

Data Analyst (212647)

Santa Rosa, CA · On-site

Empower self-service analytics by creating well-documented datasets, reports, and dashboards for broader organizational use. * Clearly communicate complex data findings and recommendations to both ...

IDEX

Data Analyst, Finance

Rohnert Park, CA · On-site +1

JOB TITLE: Finance Data & Transformation Analyst REPORTING TO: Finance Manager, IH&S LOCATION ... Maintain and prioritize reporting and analytics backlogs leveraging the Agile framework. * Support ...

2K

Staff Data Analyst

Novato, CA · On-site

What We Need We're looking for a passionate Staff Data Analyst to support the Sports* Game Science & Insights team, to explore, analyze, report, and action on data from our portfolio of titles (WWE ...

2K

Staff Data Analyst

Novato, CA · On-site

What We Need We're looking for a passionate Staff Data Analyst to support the Sports* Game Science & Insights team, to explore, analyze, report, and action on data from our portfolio of titles (WWE ...

Fabrion

Data Partnerships Analyst

Bodega Bay, CA · On-site

Data Partnerships Analyst Location: San Francisco Bay Area Type: Full-Time Compensation: Competitive salary + early-stage equity Backed by 8VC, we're building a world-class team to tackle one of the ...

DD-Scientific Data

Scientific Data Engineer

Bodega Bay, CA · On-site

$135K - $163K/yr

Develop machine learning and AI solutions for analysis of biological data in close collaboration with diverse teams of scientists * Train scientists and research software engineers in the use of the ...

DD-Scientific Data

Scientific Data Engineer

Bodega Bay, CA

$135K - $163K/yr

Develop machine learning and AI solutions for analysis of biological data in close collaboration with diverse teams of scientists * Train scientists and research software engineers in the use of the ...

PROPRIUS

Machine Learning / Data Scientist

Bodega Bay, CA · On-site

$110K - $140K/yr

You must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running ...

First American

Marketing Analyst

Santa Rosa, CA · On-site

$73K - $98K/yr

Bachelor's degree in Marketing, Economics, Finance, Statistics, Data Analytics, Business, or a related field. * 3-5 years of experience in analytics, pricing, marketing strategy, revenue management ...

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All JobsData Analytics JobsData Analytics Jobs in Santa Rosa, CA

Data Analytics information

See Santa Rosa, CA salary details

$26

$59

$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.

Data Analyst (212647)

Sonoma, CA • On-site

Aquent
Recruiting and Staffing Services • 5 - 10K employees
Learn more about Aquentexternal

Other

Medical, Dental, Vision, Retirement

Posted 11 days ago

Key responsibilities

  • Analyze operational data, including vehicle telemetry, service logs, and dispatch information, to identify critical trends and actionable insights.

  • Develop and maintain comprehensive dashboards and recurring reports for stakeholders across fleet operations, safety, and engineering.

  • Define, track, and report on key performance indicators (KPIs) related to fleet performance, mission success, operational readiness, and overall efficiency.

Job description

Job Title: Data Analyst

Client Location: Hybrid; Foster City CA (3 Days Onsite/Weekly)

Pay Comments: W2

Minimum Pay (per hour): 60.41

Maximum Pay (per hour): 67.13

Hours: Full-time

Duration: Approx. 6 Month Assignment


Job Description:

Aquent is partnering with a pioneering company at the forefront of revolutionizing transportation through advanced autonomous technology. This organization is dedicated to creating a safer, more efficient future, and they are seeking exceptional talent to help drive their mission forward.

Are you passionate about leveraging data to drive real-world operational excellence and shape the future of autonomous mobility? We're seeking a talented Data Analyst to join a dynamic team, where your expertise will directly contribute to optimizing fleet performance, enhancing safety, and ensuring mission success. This is an incredible opportunity to translate complex data into actionable strategies that directly impact the efficiency and reliability of cutting-edge autonomous operations.


What You'll Do

  • Analyze operational data, including vehicle telemetry, service logs, and dispatch information, to identify critical trends and actionable insights.
  • Develop and maintain comprehensive dashboards and recurring reports for stakeholders across fleet operations, safety, and engineering.
  • Define, track, and report on key performance indicators (KPIs) related to fleet performance, mission success, operational readiness, and overall efficiency.
  • Ensure the accuracy, structure, and reliability of datasets used for all analytical purposes.
  • Collaborate closely with operations teams to understand their reporting needs and critical business questions.
  • Translate complex business requirements into robust data insights and reporting solutions, working hand-in-hand with engineering and product teams.
  • Empower self-service analytics by creating well-documented datasets, reports, and dashboards for broader organizational use.
  • Clearly communicate complex data findings and recommendations to both technical and non-technical audiences.
  • Proactively identify inefficiencies, recurring issues, and performance gaps through rigorous data analysis.
  • Provide timely, data-driven recommendations to support critical operational decision-making.
  • Help establish structured feedback loops to capture, analyze, and share operational learnings across the organization.
  • Contribute to the automation of recurring reports and reduction of manual efforts wherever possible.


Must-Have Qualifications

  • Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Business Analytics, or a related quantitative field.
  • 3+ years of professional experience in data analysis, business intelligence, or analytics-focused roles.
  • Strong proficiency in SQL for complex querying, data manipulation, and in-depth analysis.
  • Demonstrated experience with data visualization tools such as Looker, Tableau, or Power BI.
  • Proven ability to work with large datasets, transforming raw data into clear, actionable insights.
  • Strong analytical and problem-solving skills with meticulous attention to detail.
  • Excellent communication skills, with the ability to present complex insights clearly and concisely to diverse audiences.
  • Ability to collaborate effectively across technical and non-technical teams.
  • Skilled at translating abstract business questions into concrete reporting and analytical solutions.
  • Strong organizational skills with the ability to manage multiple priorities in a fast-paced environment.


Nice-to-Have Qualifications

  • Experience with operational, logistics, or fleet-related data.
  • Proficiency in Python for data analysis and reporting.
  • Familiarity with Databricks or similar analytics platforms.



About Aquent Talent:

Aquent Talent connects the best talent in marketing, creative, and design with the world's biggest brands.

Our eligible talent get access to amazing benefits like subsidized health, vision, and dental plans, paid sick leave, and retirement plans with a match. Aquent is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We're about creating an inclusive environment-one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.

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