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Analytics Manager Jobs in California (NOW HIRING)

We're looking for a strategic and data-driven Product Analytics Manager to advance our streaming and ticketing platforms, driving audience growth and revenue. This role will lead analytics ...

The Manager, Encounter Data & Regulatory Analytics is a hands-on technical leader responsible for overseeing encounter data submissions, regulatory reporting, and audit support across Medicaid and ...

Manage nationwide first-mile pickup ops & logistics workflows via TMS/WMS, data analytics & SOPs. * Master's degree in Supply Chain Management or a related field; * plus 12-monthe experience in ...

Manage nationwide first-mile pickup ops & logistics workflows via TMS/WMS, data analytics & SOPs. * Master's degree in Supply Chain Management or a related field; * plus 12-monthe experience in ...

Global Risk & Analytics Manager

Cypress, CA · Hybrid

$110K - $150K/yr

This Global Risk & Analytics Manager will be primarily responsible for leading Strategic Analysis activities in the Analytics Center of Excellence for YMFC GRC function covering all regions in the ...

Job Summary RPA is seeking a Manager of Analytics to lead reporting and insights for a major account. This role owns end-to-end performance reporting, delivers strategic insights, and drives ...

Manager, Analytics

Culver City, CA · On-site

$100K - $130K/yr

We are looking for a Manager, Analytics help build out our next-generation data analytics program. You will be hands-on with a variety of technologies and intimately involved with the creation and ...

Job Summary RPA is seeking a Manager of Analytics to lead reporting and insights for a major account. This role owns end-to-end performance reporting, delivers strategic insights, and drives ...

The primary role of the Manager is to develop effective and high-quality data analysis, insights, and recommendations that help drive business outcomes. Technical abilities include the following: SQL ...

Showing results 41-60

Analytics Manager information

See California salary details

$63.7K

$123.7K

$176.7K

How much do analytics manager jobs pay per year?

As of Aug 10, 2026, the average yearly pay for analytics manager in California is $123,685.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,700.00 and $147,000.00 per year, depending on experience, location, and employer.

What is an analytics manager?

An analytics manager translates raw data into insights that a business can use. Usually leading a team of analysts, your job duties include developing data analysis strategies, tracking and reporting on performance, implementing tools and solutions, and overseeing all analytics operations. You must stay up-to-date on current industry trends. Strong communication and analytical skills are required. Other qualifications include a bachelor’s degree in statistics, data management, or information technology and proven career experience in market research, statistical modelings, or project management.

Is data analytics a high paying job?

Data analytics roles, including Analytics Managers, tend to offer high salaries compared to many other positions, especially with experience and advanced skills in tools like SQL, Python, or Tableau. Compensation varies by industry, location, and company size, but generally, analytics managers earn above average salaries in the job market.

What is the difference between Analytics Manager vs Data Analyst?

AspectAnalytics ManagerData Analyst
Required CredentialsBachelor's or Master’s in Business, Analytics, or related fields; often certifications in analytics toolsBachelor's degree in Statistics, Mathematics, or related fields; certifications in data analysis tools
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersPerforms data cleaning, analysis, and reporting; works under supervision
Employer & Industry UsageUsed in corporate, finance, marketing, and tech sectors for strategic decision-makingCommon in research, finance, healthcare, and marketing for data insights

While both roles involve working with data, the Analytics Manager oversees teams and strategic projects, whereas Data Analysts focus on data collection, analysis, and reporting. The Analytics Manager typically has more leadership responsibilities and a broader scope.

How does an analytics manager typically collaborate with cross-functional teams to drive business insights?

Analytics Managers frequently work alongside teams such as marketing, product development, finance, and operations to translate data into actionable business strategies. They facilitate meetings to understand stakeholder goals, guide data collection efforts, and present findings in a way that's accessible to non-technical audiences. This cross-functional collaboration ensures that insights are aligned with business objectives and that projects are implemented effectively. Strong communication and project management skills are essential for success in this collaborative environment.

What are the key skills and qualifications needed to thrive as an analytics manager, and why are they important?

To thrive as an Analytics Manager, you need strong analytical skills, data interpretation expertise, leadership experience, and typically a degree in statistics, mathematics, computer science, or a related field. Familiarity with analytics platforms (such as Tableau, Power BI), programming languages (like SQL, Python, or R), and data management systems is essential, along with relevant certifications such as Google Analytics or Certified Analytics Professional (CAP). Excellent communication, problem-solving, and stakeholder management skills help you translate complex data insights into actionable business strategies. These competencies ensure data-driven decision-making, effective team leadership, and impactful business outcomes.

How much do analytics managers make in the US?

Analytics managers in the US typically earn a median salary of around $100,000 to $130,000 per year, depending on experience, industry, and location. Senior roles or those with specialized skills in data tools and leadership may earn higher compensation, often exceeding $150,000 annually.
What are the most commonly searched types of Analytics jobs in California? The most popular types of Analytics jobs in California are:
What job categories do people searching Analytics Manager jobs in California look for? The top searched job categories for Analytics Manager jobs in California are:
What cities in California are hiring for Analytics Manager jobs? Cities in California with the most Analytics Manager job openings:
Infographic showing various Analytics Manager job openings in California as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $123,685 per year, or $59.5 per hour.

Operations Analytics Manager

Two Chairs

San Francisco, CA

Full-time

Posted 8 days ago


Job description

Two Chairs is building a new kind of mental health system based on the idea that the status quo isn't good enough. Industry-best clinician experiences, better client outcomes, groundbreaking innovation, and access to the highest quality care are how we'll raise the bar for the entire industry. With that, we're excited and honored to have been recognized as a 2025 Great Place to Work, 2024 Fortune Best Workplaces in the Bay Area, and 2023 San Francisco Business Times Bay Area Best Places to Work.

Diversity, equity, and inclusion are the principles guiding how we build our business and teams. We encourage interested candidates from diverse backgrounds to apply even if they don't think they meet every expectation of the role.

About the role

As an Operations Analytics Manager on our Operations team, you will be at the forefront of driving data-informed decision-making for our established therapy business and our rapidly expanding psychiatry business line. The Supply & Demand (S&D) team directly impacts the organization's highest-stakes margin and revenue decisions, and this role provides the modeling and analytical horsepower necessary to navigate complex operational variables.

You'll be responsible for building our initial Psychiatry S&D model, integrating it into our core data infrastructure, and maintaining it as we launch across new markets. Collaborating cross-functionally with Growth, Finance, Data Science, Clinical Recruiting, and Clinical Operations, you will establish capacity metrics that directly guide hiring velocity, resource allocation, and cross-licensing strategies.


Core Areas of Responsibility

Model Building & Supply Strategy (40%)

  • Build, maintain, and refine end-to-end S&D forecasting models across current and upcoming launches (e.g., state, payer, channel launches)
  • Incorporate complex business variables into supply and demand models (e.g., variable session frequencies, clinician ramp times, and cross-licensing constraints)
  • Evaluate unit economics and recommend operational levers to ensure business strategy aligns directly with revenue, margin, and clinician utilization targets

Data Infrastructure & Operational Analytics (35%)

  • Partner closely with Data Science and Data Engineering to co-create models and transition standalone new models into our core data infrastructure
  • Define, govern, and track standardized operational metrics, including capacity, clinician utilization rates, hiring targets, and client time-to-care metrics
  • Perform regular "forecast vs. actuals" audits as new demand data becomes available, refining key assumptions (e.g., hiring velocity, client demand, clinician ramp-up schedules)

Cross-Functional Collaboration & Continuous Improvement (25%)

  • Partner cross-functionally with Growth, Finance, Clinical Recruiting, and Clinical Operations to communicate strategic insights and align cross-functional priorities
  • Support executive decision-making on key operational trade-offs, such as determining clinician hiring volumes versus expanding cross-licensing for existing clinicians
  • Identify operational bottlenecks across the end-to-end recruitment and patient lifecycle, driving scalable process improvements to enhance efficiency and service quality

Impact and Success Indicators

Where you'll make an impact in the first 90 days:

  • Develop fluency with the psychiatry service line, and sketch out a modeling framework that will support service line expansion
  • Establish strong cross-functional relationships across Growth, Finance, Data Science, and Clinical Ops, delivering initial analysis on utilization and capacity metrics

Where you'll make an impact in the first year:

  • Build and deploy the initial Psychiatry S&D model to guide operational decisions
  • Implement scalable forecasting and reporting tools to support long-term, multi-state growth
  • Partner with the Data team to integrate S&D inputs into the broader data and modeling infrastructure, and ensure coherence across therapy and psychiatry models
  • Deliver measurable improvements to clinician utilization, unit economics, and client time-to-care efficiency

You'll be successful if you:

  • Have 5+ years of relevant work experience in an analytical role, preferably in banking, management consulting, finance, tech operations, or other highly analytical role
  • Excel at analyzing complex data sets and building sophisticated forecasting models, including proficiency in analytics/BI tools (e.g., SQL, Looker). Experience collaborating with Data Science teams to co-create models is a plus.
  • Bring a big-picture perspective and understand how operational levers (unit economics, capacity tradeoffs, session frequency) directly drive financial health and business outcomes
  • Work effectively with diverse teams across Finance, Growth, Recruiting, and Clinical leadership, translating quantitative insights into actionable strategies
  • Are comfortable navigating unstructured problems—building solutions from 0 to 1 and iteratively refining models until they are fully production-ready

Compensation & Benefits

The offer range is dependent on qualifications and experience. New hires can reasonably expect an offer between $140,000 and $170,000.

Additional perks and benefits:

  • Equity in a high-growth start-up
  • Paid time off, including nine paid holidays and an additional Winter Office Closure from Christmas Day (Observed) through New Year's Day
  • Comprehensive medical, dental, and vision coverage
  • 401(k) Retirement savings options
  • One-time $200 Work from Home reimbursement
  • Annual $1,000 Productivity & Wellness Stipend to support your personal and professional goals
  • Annual $500 subsidized company contribution to your healthcare FSA or HSA
  • Paid parental leave

Outreach Notice to Applicants

We are thrilled that you're interested in joining our team! To ensure a consistent and equitable hiring process for all candidates, we kindly ask that you refrain from reaching out to current employees regarding the role, your application, or the interview process. Our talent acquisition team is committed to carefully reviewing all applications and will reach out directly if they decide to move forward.


All applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.