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Analytics Jobs in Santa Rosa, CA (NOW HIRING)

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 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 ...

Senior Conflicts Analyst

Saint Helena, CA · On-site +1

$100K - $120K/yr

About the Role The Senior Conflicts Analyst will play a key role in supporting the firm's Risk Management Department by reviewing, analyzing, and resolving potential conflicts of interest for new ...

Conduct pricing, revenue, and product performance analytics to highlight opportunities for growth * Translate and present complex data into clear, actionable insights and recommendations for both ...

Conduct pricing, revenue, and product performance analytics to highlight opportunities for growth * Translate and present complex data into clear, actionable insights and recommendations for both ...

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Analytics information

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$137K

$195.7K

How much do analytics jobs pay per year?

As of Jul 15, 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:
Principal Risk & Compliance Quantitative and Modeling Analyst - Location Flexible

Principal Risk & Compliance Quantitative and Modeling Analyst - Location Flexible

PG&E Corporation

Petaluma, CA • Hybrid

$238K/yr

Full-time

Posted 23 days ago


Job description

Requisition ID # 172735 

Job Category: Compliance / Risk / Quality Assurance; Accounting / Finance; Business Operations / Strategy 

Job Level: Manager/Principal

Business Unit: Strategy & Growth

Work Type: Hybrid

Job Location: Oakland; Alameda; Alta; American Canyon; Angels Camp; Antioch; Auberry; Auburn; Avenal; Avila Beach; Bakersfield; Balch Camp; Bay Point; Bear Valley; Belden; Bellota; Belmont; Benicia; Berkeley; Brentwood; Brisbane; Buellton; Burney; Buttonwillow; Calistoga; Campbell; Canyon Dam; Canyondam; Capitola; Caruthers; Chico; Clearlake; Clovis; Coalinga; Colusa; Concord; Concord; Corcoran; Cottonwood; Cupertino; Daly City; Danville; Davis; Dinuba; Downieville; Dublin; Emeryville; Eureka; Fairfield; Folsom; Fort Bragg; Fortuna; Fremont; French Camp; Fresno; Fresno; Fulton; Garberville; Geyserville; Gilroy; Goodyear; Grass Valley; Guerneville; Half Moon Bay; Hayward; Hinkley; Hollister; Holt; Huron; Jackson; Kerman; King City; Lakeport; Lemoore; Lincoln; Linden; Livermore; Lodi; Loomis; Los Banos; Lower Lake; Madera; Magalia; Manteca; Manton; Mariposa; Martell; Marysville; Maxwell; Menlo Park; Merced; Meridian; Millbrae; Milpitas; Modesto; Monterey; Montgomery Creek; Morgan Hill; Morro Bay; Moss Landing; Mountain View; Napa; Needles; Newark; Newman; Novato; Oakdale; Oakhurst; Oakley; Olema; Orinda; Orland; Oroville; Palo Alto; Palo Cedro; Paradise; Parkwood; Paso Robles; Petaluma; Pioneer; Pismo Beach; Pittsburg; Placerville; Pleasant Hill; Pleasanton; Point Arena; Potter Valley; Quincy; Rancho Cordova; Red Bluff; Redding; Richmond; Ridgecrest; Rio Vista; Rocklin; Roseville; Round Mountain; Sacramenti; Sacramento; Salida; Salinas; San Bruno; San Carlos; San Francisco; San Francisco; San Jose; San Luis Obispo; San Mateo; San Rafael; San Ramon; San Ramon; Sanger; Santa Cruz; Santa Maria; Santa Nella; Santa Rosa; Selma; Shaver Lake; Sonoma; Sonora; South San Francisco; Springville; Stockton; Storrie; Taft; Tracy; Turlock; Twain; Ukiah; Vacaville; Vallejo; Walnut Creek; Wasco; Watsonville; West Sacramento; Wheatland; Whitmore; Willits; Willow Creek; Willows; Windsor; Winters; Woodland; Yuba City

Department Overview:

The Electric Risk & Compliance organization provides governance, oversight, and strategic direction on risk and compliance matters across Electric Operations, ensuring alignment with enterprise policies and external/internal regulatory requirements. It partners cross-functionally to manage compliance requirements, strengthen controls, and enable risk-based oversight through effective monitoring, data, and reporting. The Compliance Insights team provides strategic, comprehensive data analysis, reporting, and data-driven insights that support Electric compliance, investigations, and risk management.

The selected candidate must live within PG&E’s service territory, and will be expected to work in the office 2-3 times a week.

PG&E is providing the salary range that the company in good faith believes it might pay for this position at the time of the job posting. This compensation range is specific to the locality of the job. The actual salary paid to an individual will be based on multiple factors, including, but not limited to, specific skills, education, licenses or certifications, experience, market value, geographic location, and internal equity. Although we estimate the successful candidate hired into this role will be placed towards the middle or entry point of the range, the decision will be made on a case-by-case basis related to these factors.

A reasonable salary range is:

Minimum Base Salary (Bay Area)            $140,000.00

Mid Base Salary (Bay Area)        $189,000.00

Maximum Base Salary (Bay Area)           $238,000.00

Minimum Base Salary (California)         $133,000.00

Mid Base Salary (California)      $180,000.00

Maximum Base Salary (California)        $226,000.00

Responsibilities:

  • Lead development of risk metrics and stress scenarios
  • Lead development of commodity prices, derivatives and transactions as needed to analyze and quantify risks.
  • Lead development of framework for implementing tools and processes to improve quality and timeliness of risk reports.
  • Lead design of analytical and diagnostic tools to ensure accuracy and timely computation of risk metrics and facilitate analyses of portfolios.
  • Lead assessment of the effectiveness of hedging strategies and programs.
  • Lead development and enhancement of quantitative models to support forecasting, valuation, and portfolio risk assessment.
  • Provide analytical support and quantitative risk assessments to inform business decisions and address emerging issues.
  • Lead development of risk-informed compliance frameworks to align analytical insights with regulatory requirements and support effective governance and oversight.
  • Lead horizon scanning activities to identify emerging risks, market developments, and regulatory changes that may affect portfolio strategy and risk exposure.
  • Develops and leads compelling data-driven business cases for or against specific courses of action and potential risk mitigation alternatives as appropriate; provides strategic direction regarding areas of NERC compliance in common with CPUC, OEIS, and CAISO.
  • Leads annual gap analysis; identifies gaps between compliance requirements and guidance documentation.
  • Develops, monitors, analyzes, and reports on business KPIs and indicators, that may affect the Company’s ability to meet its goals.

Qualifications

Minimum:

  • Bachelor’s Degree in Information Systems, Business, Engineering, Financial Engineering, Economics, Statistics, or Mathematics or equivalent experience
  • 8 years of experience in risk analytics development and modeling
  • 2 years managing projects

Desired:

  • Master’s degree or equivalent experience
  • Electrical engineer with experience in the utility industry to support technical interpretations and implementation of new compliance requirements.
  • Proven risk control and system design skills
  • Proven project management skills.
  • Demonstrated ability to abstract or synthesize from one set of ideas or facts to another, identify causal relationships, and anticipate obstacles.
  • Communicates with peers, subordinates, leadership, and stakeholders, using a variety of media and conveying information or conclusions in a clear, direct manner.
  • Ability to maneuver through complex organizational situations effectively and without disruption.
  • Understands and can communicate the company's overall goals and strategies.
  • Ability to analyze complex problems and make decisions despite incomplete information and limited time.
  • Highly advanced analytical, program management, and communications skills
  • Ability to manipulate data and draw conclusions / make recommendations