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Operations Strategy Data Analyst Jobs in California

Partner with operations, data science, engineering, and product teams to address complex business challenges through AI-first analytical strategies and solutions * Build, maintain, and optimize ...

Data Analyst

Foster City, CA · On-site

$60.41 - $67.13/hr

... strategic insights that optimize fleet performance, enhance safety, and ensure mission success ... Analyze operational data, including vehicle telemetry, service logs, and dispatch information, to ...

Data Analyst

Los Angeles, CA · On-site

$60K - $70K/yr

Identify trends, opportunities, and process improvements through data * Assist with reporting and analysis for strategic initiatives Operations Support * Support special projects related to reporting ...

... Strategy Officer, twostrategy directors, and a data scientist,acrossallstrategic and operational ... Design and execute financial and operational analysis by leveraging in-house and 3rd party ...

New

Data Analyst

Los Angeles, CA · On-site

$85K - $105K/yr

Support forecasting and scenario modeling through advanced analytics to inform strategic and operational decisions. Process Improvement & Data Governance * Automate manual reporting processes to ...

Data Analyst

San Jose, CA · On-site

$90K - $110K/yr

Support system enhancements and changes related to operations and data workflows. * Provide strategic and analytical support to management for organizational planning and decision-making. * Ensure ...

Analyze large-scale payment datasets to identify performance trends, uncover optimization ... Strategic Data Storytelling: Drive strategic discussions by synthesizing complex data into ...

Data Analyst

Los Angeles, CA · On-site

$60K - $104K/yr

... strategy while exercising judgment on high-priority and complex projects. WHAT WILL YOU DO? Data ... Adheres to all Bank Administrative, Operational and Credit policies and procedures as well as all ...

Analyze large-scale payment datasets to identify performance trends, uncover optimization ... Strategic Data Storytelling: Drive strategic discussions by synthesizing complex data into ...

Quantify the financial, operational, and customer impacts of strategic alternatives. * Support ... Champion best practices in data management, analytics, and model governance. Executive ...

... troubleshooting operational bottlenecks, and measuring our impact Your Impact Build Analytical ... Drive Strategic Decisions: Partner with leaders to turn complex data into a clear path forward ...

Principal Data Analyst

San Jose, CA · On-site

$164K - $218K/yr

Quantify the financial, operational, and customer impacts of strategic alternatives. * Support ... Champion best practices in data management, analytics, and model governance. Executive ...

Showing results 41-60

Operations Strategy Data Analyst information

What does an operations strategy data analyst do?

An operations strategy data analyst analyzes data related to business operations to identify efficiencies, optimize processes, and support strategic decision-making. They use tools like Excel, SQL, and data visualization software to interpret large datasets and provide actionable insights that improve operational performance.

What cities in California are hiring for Operations Strategy Data Analyst jobs?

Cities in California with the most Operations Strategy Data Analyst job openings:

Data Analyst, Global Operations

Menlo Park, CA • On-site

Meta
Internet and IT • 10K+ employees

$125K/yr

Full-time

Re-posted 8 days ago


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz


Job description

At Meta, we are experiencing an extraordinary wave of innovation in automation and intelligent tools that is transforming how we drive impact through data & analytics. As a data analyst in global operations, you’ll have the opportunity to combine your analytical expertise with an AI-first mindset to design and deploy analytical solutions that drive strategic decision-making and operational efficiency at a global scale. You will partner with operational, data science, data engineering, and product teams globally to optimize processes, automate workflows, provide data-driven insights, and uplift the team’s proficiency in leveraging new technologies.
Data Analyst, Global Operations Responsibilities:
  • Partner with operations, data science, engineering, and product teams to address complex business challenges through AI-first analytical strategies and solutions
  • Build, maintain, and optimize scalable data pipelines, dashboards, automated reports, and self-service tools for teams across Meta
  • Champion the adoption and integration of AI tooling within analytics workflows, educating and uplifting team proficiency in modern solutions and innovative thinking
  • Communicate complex insights clearly to technical and non-technical stakeholders, influencing decisions and business outcomes
  • Continuously explore and experiment with emerging technologies and automation methods to advance the team’s analytics offerings

Minimum Qualifications:
  • 7+ years of experience in analytics, operations, product, engineering, or related fields—ideally within deadline-focused tech environments or consulting
  • Bachelor’s degree in a quantitative discipline such as Computer Science, Data Science, Statistics, Mathematics, Operations Research, or equivalent practical experience
  • Advanced proficiency in SQL, and experience with Python, for data analysis and automation
  • Proven experience building and deploying scalable data pipelines and productionizing dashboards using BI tools (e.g., Tableau)
  • Track record of proactively using AI tools to drive productivity and innovation across projects and teams (bonus for championing AI adoption and education within teams)
  • Solid understanding of statistical analysis with practical application to real-world business problems
  • Demonstrated ability to independently manage analytics projects end-to-end, from problem definition to business adoption and impact measurement

Preferred Qualifications:
  • Master’s degree or higher in a quantitative discipline such as Data Science, Statistics, Mathematics, Computer Science, or a related field
  • Hands-on experience with AI/ML model development, deployment, and/or integration

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.
$125,000/year to $178,000/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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