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From Home Competitive Intelligence Jobs (NOW HIRING)

As a Senior Analyst in Meta's Competitive Intelligence organization, you will operate at the ... Data triangulation: Triangulate data from many sources of imperfect information. Synthesize ...

As a Senior Analyst in Meta's Competitive Intelligence organization, you will operate at the ... Data triangulation: Triangulate data from many sources of imperfect information. Synthesize ...

To stay ahead, we're hiring our first PMM focused on competitive intelligence. This is a high ... Excellent communicator - able to go from exec briefings to sales training with equal impact

To stay ahead, we're hiring our first PMM focused on competitive intelligence. This is a high ... Excellent communicator - able to go from exec briefings to sales training with equal impact

Competitive Intelligence Principal

Boston, MA · On-site +1

$174K - $212K/yr

Principal Product Marketing Manager, Competitive Intelligence About This Role As the first ... Proven ability to build a function from 0 to 1, including selecting tech stacks (Klue, Crayon ...

Combine insights from third-party research, industry reports, analyst coverage, and advertiser ... Synthesize competitive intelligence, advertiser sentiment data, and performance insights into clear ...

Combine insights from third-party research, industry reports, analyst coverage, and advertiser ... Synthesize competitive intelligence, advertiser sentiment data, and performance insights into clear ...

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From Home Competitive Intelligence information

See salary details

$45.5K

$104.6K

$144K

How much do from home competitive intelligence jobs pay per year?

As of Jul 2, 2026, the average yearly pay for from home competitive intelligence in the United States is $104,643.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $118,500.00 per year, depending on experience, location, and employer.

How does a remote Competitive Intelligence professional typically interact with cross-functional teams, and what tools support effective collaboration?

Remote Competitive Intelligence professionals frequently collaborate with marketing, sales, product, and executive teams to share insights and inform strategic decisions. To ensure seamless communication and data sharing, they often rely on digital collaboration tools like Slack, Microsoft Teams, and project management platforms such as Asana or Trello. Regular virtual meetings and clear documentation practices are also key to staying aligned with diverse stakeholders. This collaborative environment allows CI professionals to effectively deliver timely and actionable intelligence, even when working from home.

What is a work-from-home Competitive Intelligence role?

A work-from-home Competitive Intelligence (CI) role involves gathering, analyzing, and interpreting information about competitors, market trends, and industry developments while working remotely. CI professionals provide insights that help companies make strategic business decisions, such as product development, marketing strategies, and identifying new opportunities or threats. This job typically requires strong research, analytical, and communication skills, as well as proficiency with various online tools and databases. Working from home offers flexibility, but it also demands self-motivation and the ability to manage confidential information securely.

What are the key skills and qualifications needed to thrive as a From Home Competitive Intelligence Analyst, and why are they important?

To thrive as a From Home Competitive Intelligence Analyst, you need strong analytical skills, business acumen, and a background in market research or a related field, often supported by a degree in business, marketing, or economics. Familiarity with data analysis tools (such as Excel, Tableau, or Power BI), online databases, and competitive intelligence software is essential. Exceptional critical thinking, attention to detail, and effective communication skills help you interpret data and present actionable insights clearly. These competencies are crucial for delivering timely, accurate intelligence that supports strategic decision-making in a remote environment.

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

AspectFrom Home Competitive IntelligenceFrom Home Market Research Analyst
CredentialsBachelor's in Business, Marketing, or related field; experience in intelligence gatheringBachelor's in Marketing, Business, or Statistics; experience in data analysis
Work EnvironmentRemote, often collaborative with sales and marketing teamsRemote, focused on data collection and analysis
Industry UsageUsed across various industries to monitor competitorsPrimarily in marketing, advertising, and consumer goods
Search & Comparison IntentUnderstanding competitive strategies and market positioningAnalyzing market trends and consumer insights

From Home Competitive Intelligence involves gathering and analyzing information about competitors to inform strategic decisions, often requiring skills in research and analysis. From Home Market Research Analyst focuses on studying market trends and consumer behavior to guide marketing strategies. While both roles are remote and require analytical skills, they serve different purposes within business growth and strategy.

What cities are hiring for From Home Competitive Intelligence jobs? Cities with the most From Home Competitive Intelligence job openings:
What are the most commonly searched types of Competitive Intelligence jobs? The most popular types of Competitive Intelligence jobs are:
What states have the most From Home Competitive Intelligence jobs? States with the most job openings for From Home Competitive Intelligence jobs include:
Infographic showing various From Home Competitive Intelligence job openings in the United States as of June 2026, with employment types broken down into 3% As Needed, 33% Full Time, 62% Part Time, and 2% Contract. Highlights an 77% Physical, 1% Hybrid, and 22% Remote job distribution, with an average salary of $104,643 per year, or $50.3 per hour.
Competitive Intelligence Research

Competitive Intelligence Research

Meta

Bellevue, WA

$177K/yr

Full-time

Posted 23 days ago


Meta rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

130th of 202 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:
  • 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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