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Data Strategy Analyst Jobs in California (NOW HIRING)

Pwc

Data Strategy-Manager

San Francisco, CA · On-site

$99K - $232K/yr

They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical ...

Pwc

Data Strategy-Manager

San Diego, CA · On-site

$99K - $232K/yr

They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical ...

Pwc

Data Strategy-Manager

Sacramento, CA · On-site

$99K - $232K/yr

They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical ...

Pwc

Data Strategy-Manager

Los Angeles, CA · On-site

$99K - $232K/yr

They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical ...

PIMCO

Data Strategy Lead

Newport Beach, CA · On-site

We are seeking a Data Strategy Lead for our Portfolio Management business to join us in our Newport ... This person will be part of our PM Analytics function and be responsible for shaping our technical ...

Pwc

Data Strategy-Manager

Irvine, CA · On-site

$99K - $232K/yr

They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical ...

PIMCO

Data Strategy Lead

Newport Beach, CA · On-site

We are seeking a Data Strategy Lead for our Portfolio Management business to join us in our Newport ... This person will be part of our PM Analytics function and be responsible for shaping our technical ...

CSC Generation

Senior Strategy Analyst

San Francisco, CA · Hybrid

$105K - $110K/yr

Build business cases, analyze company, customer, and external data, assess consumer insights and ... Own strategy from insight through execution--build the business case, present the recommendation ...

Poshmark, Inc

Staff Risk Strategy Analyst

Redwood City, CA · On-site

$137K - $193K/yr

We are looking for a Staff Risk Strategy Analyst to develop and scale marketplace risk strategies ... They will partner closely with Data Science, Product, Engineering, Operations, and Trust & Safety ...

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Showing results 41-60

All JobsData Strategy Analyst JobsData Strategy Analyst Jobs in California

Data Strategy Analyst information

See California salary details

$33.6K

$81.6K

$134.2K

How much do data strategy analyst jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data strategy analyst in California is $81,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,700.00 per year, depending on experience, location, and employer.

What is a data strategy analyst?

A Data Strategy Analyst is a professional who helps organizations develop and implement strategies to effectively manage, analyze, and leverage data for business decision-making. They assess existing data processes, identify opportunities for improvement, and work with stakeholders to align data initiatives with business goals. Their role often involves data governance, ensuring data quality, and recommending technologies or methodologies to optimize data usage. Through these efforts, Data Strategy Analysts enable organizations to gain valuable insights and maintain a competitive advantage.

What are the key skills and qualifications needed to thrive as a data strategy analyst?

To excel as a Data Strategy Analyst, you need strong analytical skills, business acumen, and experience with data modeling, typically supported by a degree in statistics, mathematics, or a related field. Familiarity with analytics tools such as SQL, Python, Tableau, and data management systems, along with certifications in data analysis or business intelligence, is highly valuable. Strategic thinking, effective communication, and problem-solving abilities are essential soft skills for translating complex data insights into actionable business recommendations. These skills ensure the analyst can bridge technical data analysis and strategic business objectives, driving informed decision-making and organizational success.

What are some common challenges faced by data strategy analysts when aligning data initiatives with business goals?

Data Strategy Analysts often face the challenge of bridging the gap between technical data capabilities and strategic business objectives. This can involve translating complex data insights into actionable recommendations that stakeholders across various departments can understand and implement. Additionally, balancing short-term data needs with long-term strategy, managing data quality issues, and ensuring cross-team collaboration are frequent hurdles. Strong communication and project management skills are essential to navigate these challenges and drive impactful data-driven decisions.

What is the difference between Data Strategy Analyst vs Data Analyst?

AspectData Strategy AnalystData Analyst
Required CredentialsBachelor's degree in data science, business, or related field; familiarity with data toolsBachelor's degree in statistics, mathematics, or related field; proficiency in data analysis tools
Work EnvironmentStrategic planning, cross-department collaboration, executive presentationsData cleaning, analysis, reporting, and visualization
Employer & Industry UsageTech companies, consulting firms, large enterprises focusing on data-driven strategiesVarious industries including finance, marketing, healthcare, and retail

The Data Strategy Analyst focuses on developing data-driven strategies and aligning data initiatives with business goals, often working closely with leadership. In contrast, a Data Analyst primarily handles data collection, analysis, and reporting to support operational decisions. While both roles require strong analytical skills, the Data Strategy Analyst emphasizes strategic planning and cross-functional collaboration, whereas the Data Analyst concentrates on data processing and visualization.

What are popular job titles related to Data Strategy Analyst jobs in California?

For Data Strategy Analyst jobs in California, the most frequently searched job titles are:

What job categories do people searching Data Strategy Analyst jobs in California look for?

The top searched job categories for Data Strategy Analyst jobs in California are:

Data Strategy Analyst jobs near you
Infographic showing various Data Strategy Analyst job openings in California as of August 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 90% In-person, 7% Hybrid, and 3% Remote job distribution, with an average salary of $81,558 per year, or $39.2 per hour.

Data Center Location Strategy Analyst

Meta

Menlo Park, CA

$154K/yr

Full-time

Posted 8 days ago

Key responsibilities

  • Develop and maintain location strategy frameworks and analyses to evaluate potential data center sites.

  • Translate capacity demand forecasts into geographic supply requirements and identify regional gaps.

  • Build quantitative models, scenario analyses, and optionality strategies to compare location alternatives and support capital decisions.

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

138th of 247 rated software companies

Job description

Meta's Global Strategy & Development team is seeking a Data Center Location Strategy Analyst to support the long-term capacity planning and site selection strategy that underpins Meta's global data center portfolio. In this role, you will develop scenario analyses and optionality models to evaluate optimal locations for new data center capacities, directly informing multi-billion dollar capital investment decisions. You will partner with teams across site development, energy, network, finance, and construction to develop location frameworks that balance capacity demand forecasts with supply-side constraints, ensuring Meta's infrastructure footprint scales reliably to support capacity enablement for billions of users worldwide.
Data Center Location Strategy Analyst Responsibilities:
  • Develop and maintain location strategy frameworks and analyses that evaluate potential data center sites across dimensions including power availability, land cost, network connectivity, permitting risk, climate exposure, and labor market depth
  • Translate long-range capacity demand forecasts into geographic supply requirements, identifying regional gaps and prioritizing site development pipelines to close projected shortfalls
  • Build quantitative models, scenario analyses, and optionality strategies to compare location alternatives across cost, risk, schedule, and strategic fit dimensions, supporting executive-level capital allocation decisions
  • Synthesize market intelligence on power grid infrastructure, utility interconnection timelines, renewable energy availability, and regulatory environments across target geographies
  • Collaborate with real estate, energy, network, and cross-functional teams to assess site-specific feasibility constraints and incorporate findings into portfolio-level location recommendations
  • Develop and maintain dashboards and reporting tools that track the health of the site development pipeline, including capacity milestones, risk flags, and decision gate status
  • Conduct portfolio health reviews and partner with finance and capacity planning teams to align location strategy outputs with financial models, total cost of ownership analyses, and long-range infrastructure investment plans
  • Identify emerging markets and geographies that meet Meta's data center siting criteria, conducting proactive market assessments to expand the portfolio of viable future locations
  • Communicate location strategy recommendations and supporting analyses to cross-functional stakeholders and leadership through structured written deliverables and presentations

Minimum Qualifications:
  • Bachelor's degree in a directly related field, or equivalent practical experience
  • Bachelor's degree or equivalent practical experience
  • 6+ years of experience in data center site selection, infrastructure capacity planning, real estate strategy, energy market analysis, or a closely related field
  • Experience building quantitative models to evaluate and compare infrastructure investment alternatives, including scenario analysis and sensitivity modeling
  • Experience synthesizing complex, multi-variable datasets spanning geographic, energy, regulatory, and financial dimensions to produce actionable strategic recommendations
  • Experience collaborating cross-functionally with real estate, energy, finance, or network teams to drive alignment on infrastructure planning decisions
  • Ability to source and utilize data, including data visualization, to communicate analytical findings and strategic recommendations to technical and non-technical stakeholders

Preferred Qualifications:
  • Data center industry experience with a focus on capacity delivery and scaling
  • Experience integrating AI or automation tools into planning or analytical workflows to improve modeling efficiency, scenario coverage, or reporting accuracy
  • Experience applying geospatial analysis tools or GIS platforms to infrastructure siting and market assessment workflows
  • Familiarity with hyperscale data center design typologies, construction timelines, and the key site characteristics that drive development feasibility and cost
  • Experience with power systems, utility interconnection processes, or renewable energy procurement as applied to large-scale data center or industrial facility development
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Location strategy and modeling experience across multiple geographies
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$154,000/year to $200,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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