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Analytics Jobs in Santa Rosa, CA (NOW HIRING)

The role requires broad knowledge of finite element analysis (FEA) modeling (using commercial tools) of the magnetic field. The candidate should have basic knowledge of the physics of magnetic ...

The role requires broad knowledge of finite element analysis (FEA) modeling (using commercial tools) of the magnetic field. The candidate should have basic knowledge of the physics of magnetic ...

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Analytics information

See Santa Rosa, CA salary details

$70.5K

$137K

$195.7K

How much do analytics jobs pay per year?

As of Aug 5, 2026, the average yearly pay for analytics in Santa Rosa, CA is $137,023.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,300.00 and $162,900.00 per year, depending on experience, location, and employer.

What is analytics?

Analytics refers to the systematic computational analysis of data or statistics to discover, interpret, and communicate meaningful patterns and trends. Analytics professionals collect, process, and analyze data to help organizations make informed decisions, solve problems, and optimize performance. They may use statistical methods, data visualization, and predictive modeling in various industries such as business, healthcare, finance, and technology. Their work often involves working with large datasets, using specialized software tools, and translating complex findings into actionable insights for decision-makers.

Is data analytics well paid?

Data analytics is generally a well-paid field, with salaries often higher than average for entry-level roles and increasing with experience, skills, and certifications in tools like SQL, Python, or Tableau. Compensation varies by industry, location, and company size, but it is considered a lucrative career option for those with strong analytical and technical skills.

How do analytics professionals typically collaborate with other departments to drive business decisions?

Analytics professionals often work closely with departments like marketing, product development, finance, and operations to translate data insights into actionable strategies. They may attend cross-functional meetings, present findings, and help define metrics for success. Collaboration is key, as analytics teams must understand each department’s goals and challenges to provide relevant, impactful analysis. Strong communication skills are essential to ensure data-driven recommendations are clearly understood and implemented by non-technical stakeholders.

What is analytics as a job?

A job in analytics involves collecting, analyzing, and interpreting data to help organizations make informed decisions. Analysts use tools like Excel, SQL, and data visualization software to identify trends and insights. Strong problem-solving skills and attention to detail are essential for success in this role.

What are the key skills and qualifications needed to thrive in analytics?

To thrive in Analytics, you need strong quantitative skills, proficiency in data analysis, and typically a degree in statistics, mathematics, computer science, or a related field. Familiarity with tools such as SQL, Python or R, and data visualization platforms like Tableau or Power BI—as well as relevant certifications—are commonly required. Critical thinking, attention to detail, and effective communication help translate complex data insights into actionable business strategies. These skills are crucial for extracting meaningful information from data, driving informed decisions, and delivering measurable value to organizations.

What is the difference between Analytics vs Data Analyst?

AspectAnalyticsData Analyst
Required CredentialsDegree in statistics, mathematics, or related field; certifications like Google Data AnalyticsDegree in data science, statistics, or related; similar certifications
Work EnvironmentBusiness intelligence teams, data departments, consulting firmsCorporate, finance, marketing, or healthcare organizations
Employer & Industry UsageUsed across industries for strategic insightsCommonly employed for data interpretation and reporting
Search & Comparison IntentUnderstanding roles, skills, and career paths in analyticsClarifying job responsibilities and skills of data analysts

Analytics and Data Analysts often work closely but focus on different aspects. Analytics involves broader strategic analysis and decision-making, while Data Analysts focus on interpreting data and creating reports. Both roles require similar skills and credentials, but their scope and responsibilities differ based on organizational needs.

What are the most commonly searched types of Analytics jobs in Santa Rosa, CA? The most popular types of Analytics jobs in Santa Rosa, CA are:
What job categories do people searching Analytics jobs in Santa Rosa, CA look for? The top searched job categories for Analytics jobs in Santa Rosa, CA are:
What cities near Santa Rosa, CA are hiring for Analytics jobs? Cities near Santa Rosa, CA with the most Analytics job openings:
Infographic showing various Analytics job openings in Santa Rosa, CA as of July 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $137,023 per year, or $65.9 per hour.

ANALYTICS MANAGER

Graton Resort & Casino

Rohnert Park, CA • On-site

Full-time

Posted 9 days ago


Job description

Position Summary:
The Analytics Manager is responsible for delivering high-quality business intelligence solutions and analytics that support decision making and enhance EBITDA. The position leads analytical professionals and partners closely with leaders across the organization to provide actionable data-driven insights.
Essential Functions:
1. Responsible for redefining hospitality at Graton Resort & Casino while living, supporting, and promoting our values.
2. Perform responsibilities in accordance with all Graton Resort & Casino standards, policies, and procedures.
3. Ensure high-quality, timely delivery of analytics and business intelligence including reports, dashboards, and ad hoc analysis using tools such as Fabric, Power BI, SQL, Excel, and / or Python.
4. Contribute to development and execution of the analytics roadmap including predictive modeling and prescriptive analytics as well as migration and modernization of existing reporting. Champion adoption of new analytics methodologies and tools (e.g., Microsoft Fabric).
5. Lead, develop, coach, hire, onboard, and evaluate Team Members, fostering a culture of excellence, curiosity, continuous learning, and professional growth.
6. Collaborate with business leaders and other stakeholders to translate analytical needs into scalable data and BI solutions, while providing timely, insightful decision support and diagnostic analytics.
7. Partner closely with the IT Data & Architecture Team to continually enhance the integrated Medallion data model supporting reporting, analytics, and predictive modeling across the organization.
8. Establish and reinforce BI development standards and best practices, including semantic models, DAX, report design, validation, and workspace governance.
9. Establish and maintain data quality and governance standards, ensuring accuracy, consistency, and integrity across all reporting and analytical outputs.
10. This job description is not an exclusive or exhaustive list of all job functions that a team member in this position may be asked to perform from time to time. Duties and responsibilities may be changed, expanded, reduced, or delegated by Management to meet the business needs of the property.
Required Qualifications:
1. Ability to communicate effectively with Guests, Team Members and Management in both written and verbal form.
2. Bachelor's degree in Analytics, Data Science, Business, Hospitality, or a related field, or equivalent experience.
3. Five (5) or more years of progressive experience in analytics, business intelligence, or finance.
4. Strong analytical skills using a variety of data analysis tools (e.g., Excel, SQL, Power BI, Tableau, and / or Python). Ability to translate complex analytical outputs into clear, concise, actionable insights for non-technical audiences.
5. Extensive, hands-on SQL proficiency, including the ability to write and evaluate complex queries, optimize for performance, and define scalable data transformations.
6. Proficiency in Power BI, including data modeling, report and dashboard design, DAX, and workspace administration.
7. Demonstrated ability to manage competing priorities and deliver results in a fast-paced, deadline-driven environment.
8. Strong business and financial acumen. Strategic focus with a track record of defining and shaping initiatives and outcomes aligned to business objectives.
9. Must be able to handle sensitive information with discretion.
Preferred Qualifications:
1. Two (2) or more years in a people leadership role, managing analytics professionals.
2. Hands-on experience developing, deploying, and supporting predictive analytics (e.g., forecasting, classification, clustering) using statistical models or machine learning techniques.
3. Working knowledge of modern data warehousing concepts including Medallion architecture and familiarity with cloud-based analytics platforms (Microsoft Fabric a plus).
4. Prior experience in gaming and / or hospitality, including familiarity with industry-specific transactional systems and databases (e.g., IGT Advantage, InfoGenesis, LMS).
Physical Requirements:
1. Ability to sit for prolonged periods while working on a computer, manual dexterity to operate a computer keyboard and mouse, and visual acuity to analyze data on screens or printed reports for extended periods.