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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 ...

Administrative Analyst

Santa Rosa, CA · On-site

$95K - $126K/yr

Administrative Analysts provide responsible, professional staff assistance to a major office or department. They exercise significant management-level responsibility to coordinate the procedural and ...

Administrative Analyst

Santa Rosa, CA · On-site

$95K - $126K/yr

Administrative Analysts provide responsible, professional staff assistance to a major office or department. They exercise significant management-level responsibility to coordinate the procedural and ...

Review and conduct in-depth analysis on regulatory and legal changes affecting financial institutions to determine applicability and impact to RCU. Research regulatory/legal questions for other ...

Redwood Credit Union is looking for a Compliance Analyst, who will be responsible for proactively identifying and evaluating risks and controls, completing regulatory compliance analysis and research ...

Redwood Credit Union is looking for a Compliance Analyst, who will be responsible for proactively identifying and evaluating risks and controls, completing regulatory compliance analysis and research ...

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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 Jul 14, 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 and what do analytics professionals do?

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 overall, data analysts and related roles tend to offer competitive salaries.

What are the 4 types of data analyst?

Data analysts can be categorized into four main types based on their focus: business analysts, who interpret data to inform business decisions; operations analysts, who optimize processes; financial analysts, who analyze financial data; and marketing analysts, who evaluate marketing campaigns and customer data. Each type requires specific skills and tools, such as SQL, Excel, and data visualization software, to perform their roles effectively.

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 are the key skills and qualifications needed to thrive in Analytics, and why are they important?

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.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, providing insights, and making strategic decisions. The role is evolving to include skills in machine learning, data visualization, and domain expertise, making human judgment still vital in the analytics field.

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.

Is 40 too late for data science?

The analytics field, including data science, values skills and experience over age; many professionals transition into data science later in their careers. Gaining proficiency in programming languages like Python or R, along with statistical knowledge and relevant certifications, can help late entrants succeed. Age is less a barrier than acquiring the necessary technical skills and building a strong portfolio.
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:
Marketing Analytics Manager

$35 - $45/hr

Part-time

Re-posted 6 days ago


Job description


This part-time role (~15 hrs/week) is designed for a rigorous, commercially minded marketer who can translate consumer behavior signals into growth strategies and speak fluently about the financial impact of every dollar spent.

Marketing Measurement, Analytics & ROI

  • Own the company's marketing measurement infrastructure, including dashboards, KPI reporting, attribution modeling, and performance tracking across digital channels.
  • Build clear, actionable reporting frameworks that provide leadership visibility into marketing effectiveness, customer acquisition efficiency, conversion performance, and revenue impact.
  • Lead monthly and quarterly performance reporting across Shopify, Amazon, Walmart, paid media, email, SEO, and organic social, focusing on metrics tied directly to business growth rather than vanity engagement metrics.
  • Develop ROI analyses for marketing investments, translating campaign performance into customer acquisition costs, contribution margin impact, retention trends, and payback periods.
  • Maintain and improve reporting systems that support strategic decision-making across the marketing and e-commerce organization.



Consumer Insights & Market Intelligence

  • Analyze customer behavior and performance data across Shopify, Google Analytics, Klaviyo, Amazon Seller Central, Walmart Marketplace, and other digital platforms to identify growth opportunities and operational inefficiencies.
  • Develop recurring insights reports that surface trends in customer behavior, retention, conversion, channel performance, product adoption, and purchasing patterns.
  • Monitor competitor activity, pricing, positioning, and broader market trends to support strategic planning and category awareness.
  • Partner with leadership to identify opportunities for improving marketing efficiency, customer lifetime value, and channel profitability.



Campaign Performance & Conversion Optimization

  • Partner with the Brand Marketing Manager and E-Commerce Manager to evaluate campaign effectiveness and optimize performance across paid, owned, and marketplace channels.
  • Support product launches and major campaigns through audience analysis, forecasting, measurement planning, conversion tracking, and post-launch performance analysis.
  • Lead testing and optimization initiatives across Shopify, Amazon, Walmart, email, and paid media channels, including A/B testing, conversion funnel analysis, landing page performance, and customer journey optimization.
  • Provide data-driven recommendations that help guide channel prioritization, budget allocation, and campaign refinement.



Cross-Functional Collaboration & Strategic Support

  • Work closely with Finance and company leadership to support budget planning, forecasting, and marketing investment decisions grounded in measurable business impact.
  • Provide analytical direction and performance insights to the Brand Marketing Manager, Social Media Lead, E-Commerce Manager, and external partners to support stronger campaign execution and decision-making.
  • Support retailer presentations, product launches, and trade show initiatives through forecasting, measurement frameworks, sales analysis, and post-event reporting.
  • Translate complex data into clear, actionable recommendations for both leadership and cross-functional teams.




ESSENTIAL OXYGEN is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Location & Work Authorization

  • Must be eligible to work in California, and legally authorized to work in the United States
  • We do not ask for your pay history as a part of our recruiting process, nor do we make decisions using it. We only ask for your expectations.
  • We are unable to sponsor or take over sponsorship of an employment Visa at this time
  • Essential Oxygen participates in E-Verify

Travel Requirements

  • Occasional travel required for team events (~4 times per year)

Physical Requirements

  • Ability to sit or stand for extended periods of time

Equal Opportunity

  • We are an equal opportunity employer
  • We celebrate diversity and are committed to creating an inclusive environment for all employees

Reasonable Accommodations

  • We provide reasonable accommodations for qualified individuals with disabilities

Background Check

  • Employment is contingent upon successful completion of a background check