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Competitive Intelligence Professional Jobs in California

Meta

Competitive Intelligence Lead

Menlo Park, CA

$177K/yr

As a Senior Analyst in Meta's Competitive Intelligence organization, you will operate at the ... Act as a recognized professional in a technical or methodological area (e.g., causal inference ...

Meta

Competitive Intelligence Lead

San Francisco, CA

$177K/yr

As a Senior Analyst in Meta's Competitive Intelligence organization, you will operate at the ... Act as a recognized professional in a technical or methodological area (e.g., causal inference ...

AssetMark

Sales Intelligence Analyst

Concord, CA

$115K - $130K/yr

... competitive trends, and commercial opportunities * Evaluate sales execution, messaging, and ... Bachelor's degree or equivalent professional experience * 3-5+ years of experience in Sales ...

Pinkerton

Intelligence Manager

San Mateo, CA · On-site

$140K - $150K/yr

... professional development. * Design, implement, and continuously refine processes and templates to standardize and elevate intelligence collection, analysis, and reporting. * Create and maintain ...

Pinkerton

Intelligence Manager

Foster City, CA · On-site

$150K/yr

... professional development. * Design, implement, and continuously refine processes and templates to standardize and elevate intelligence collection, analysis, and reporting. * Create and maintain ...

Pinkerton

Intelligence Manager

Foster City, CA · On-site

$140K - $150K/yr

... professional development. * Design, implement, and continuously refine processes and templates to standardize and elevate intelligence collection, analysis, and reporting. * Create and maintain ...

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Competitive Intelligence Professional information

What are the key skills and qualifications needed to thrive as a competitive intelligence professional?

To thrive as a Competitive Intelligence Professional, you need strong analytical abilities, research expertise, and a background in business or market analysis, often supported by a relevant degree. Familiarity with competitive intelligence platforms, data visualization tools like Tableau, and certifications such as SCIP (Strategic and Competitive Intelligence Professionals) are highly valued. Excellent communication, critical thinking, and discretion are crucial soft skills for effectively presenting findings and maintaining confidentiality. These skills and qualifications are vital for providing actionable insights that guide strategic business decisions and maintain a company's competitive edge.

What is the difference between Competitive Intelligence Professional vs Market Research Analyst?

AspectCompetitive Intelligence ProfessionalMarket Research Analyst
Required CredentialsBachelor's degree, often certifications in intelligence or analyticsBachelor's degree in marketing, business, or related field
Work EnvironmentCorporate or consulting firms, focusing on strategic insightsMarket research firms, corporations, focusing on consumer data
Employer & Industry UsageUsed across industries for strategic decision-makingPrimarily in marketing and consumer-focused industries

The Competitive Intelligence Professional and Market Research Analyst roles both require analytical skills and relevant degrees. However, the Competitive Intelligence Professional focuses on gathering strategic insights about competitors to inform business strategy, while the Market Research Analyst concentrates on understanding consumer behavior and market trends. Both roles are vital in supporting business growth but serve different strategic purposes.

How does a competitive intelligence professional typically collaborate with other departments within an organization?

Competitive Intelligence Professionals work closely with teams such as marketing, sales, product development, and executive leadership. They gather and analyze data on competitors, market trends, and industry developments, then share actionable insights through reports or presentations tailored for each department's needs. Effective collaboration ensures that all stakeholders are equipped to make informed strategic decisions, anticipate market shifts, and respond proactively to competitive threats. Regular cross-functional meetings and clear communication channels are common in this role to maximize impact and organizational alignment.

What are the most commonly searched types of Competitive Intelligence jobs in California?

The most popular types of Competitive Intelligence jobs in California are:

What cities in California are hiring for Competitive Intelligence Professional jobs?

Cities in California with the most Competitive Intelligence Professional job openings:

Competitive Intelligence Professional jobs near you

Competitive Intelligence Lead

Meta

Menlo Park, CA

$177K/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

136th of 244 rated software companies

Job description

As a Senior Analyst in Meta’s Competitive Intelligence organization, you will operate at the intersection of advanced analytics, data science, and market strategy. You will lead major projects and product areas—often in environments of significant ambiguity or technical complexity—driving both technical and business outcomes. This is a hands-on, high-impact role for builders who thrive on solving real problems. This role demands a unique blend of analytical and statistical expertise, strategic thinking , and the ability to translate complex insights into impactful product and business decisions. You will be recognized as a thought partner by cross-functional leads and will help shape the analytical foundations that inform how we build and grow our products.
Competitive Intelligence Research Responsibilities:
  • Market Strategy: Influence organization-level product direction through data-driven narratives and an in depth understanding of the market landscape. Demonstrated experience operating at scale, and across ambiguous, environments with working knowledge of econometrics. As a quantitative market-strategist, you will blend practical and applied understanding with technical expertise, including pressure-testing data for quality, reliability, understanding data-biases and being solution driven
  • Analytics Leadership: Conduct advanced analyses with 3P datasets, develop statistical models and forecasts, and deliver actionable insights that informs market and business strategy. These include, but are not limited to:
  • Data onboarding: Identify, onboard, and rigorously evaluate 3P datasets to determine their signal-to-noise ratio and predictive power
  • Data triangulation: Triangulate data from many sources of imperfect information. Synthesize multiple, low-fidelity 3rd-party signals into a single high-fidelity trend report using Bayesian aggregation or other methods
  • Data transformation: Apply quasi-experimental designs (e.g., synthetic control, diff-in-diff) to isolate the impact of exogenous market shocks and competitor actions on internal performance metrics, using 3rd-party behavioral and economic datasets
  • Insight and implications: Apply guidance from such analyses to increase the accuracy of forecasts and better understand market trends
  • Technical & Methodological Expertise: Act as a recognized professional in a technical or methodological area (e.g., causal inference, bayesian aggregation), driving the adoption of advanced methods and organization-wide best practices that raise the bar for the entire team
  • Data Governance & Quality: Ensure data privacy, security, and compliance with organizational standards. Champion data quality frameworks and documentation practices that enable credible reproducible analyses
  • Resourceful, adaptable professional with a bias for action

Minimum Qualifications:
  • Bachelors degree and a minimum of 6 years of work experience (minimum of 4 years with a Ph.D.) in business intelligence, product analytics, or economic or strategy consulting in a technology environment with increasing scope and impact
  • Demonstrated skill to ethically source, validate, and synthesize high-signal insights from people (e.g., stakeholder interviews, skilled conversations, field research, and relationship-based information gathering) while maintaining high standards for privacy, consent, and integrity
  • Proficiency in AI-powered tools: Demonstrate working knowledge of Generative AI technologies (e.g., LLM and AI agents) and experience designing, prompting, and orchestrating AI systems (e.g., prompt engineering) to automate data analyses, synthesize insights, and execute multi-step analytical tasks (e.g., prompting agent to clean datasets, build visualizations)
  • Practical working understanding of data-analytics tools, and direct experience managing, analyzing, manipulating and interpreting 1P and external 3P datasets
  • Experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), and/or statistical/mathematical software (e.g., R)
  • Proven experience with statistical analysis including causal inference (e.g., randomized control trials, quasi-experimentation such as synthetic control, diff-in-diff, meta-analyses), and/or bayesian aggregation (e.g., bayesian pooling, hierarchical modeling)
  • Demonstrated communication skills and experience presenting complex findings to both technical and non-technical stakeholders
  • Demonstrated experience thriving in ambiguous environments and shape new analytics organizations or products

Preferred Qualifications:
  • Master's or Ph.D. Degree in a quantitative field such as Quantitative Economics or Political Science, Operations Research, Data Science, Computer Science, Physics, Business, or Mathematics
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

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.
$177,000/year to $247,000/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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