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Competitive Intelligence Professional Jobs in California

Why Harvey At Harvey, we're transforming how legal and professional services operate. By combining ... You'll run our competitive intelligence programs, refine our messaging and positioning, and partner ...

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

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

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

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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.

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 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.

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 Analyst

Teradata Group

San Diego, CA • On-site

$80 - $120/hr

Other

This job post has expired 3 days ago. Applications are no longer accepted.


Job description

What You’ll Do

Teradata seeks a Competitive Intelligence Analyst who will transform competitive insights into actionable business advantages. With primary focus on Databricks and additional coverage of Google BigQuery and , you'll be responsible for delivering strategic insights that drive revenue and market position. This isn't just about data collection – it's about turning competitive intelligence into winning strategies across product, marketing, and sales teams.

You’ll work across the entire organization, serving as THE expert on Databricks while maintaining comprehensive knowledge of BigQuery and Cloudera. Your role extends beyond research and analysis to becoming a trusted advisor who helps shape product strategy, influences go-to-market approaches, and enables sales success. You'll translate complex technical differentiators into compelling narratives that resonate with prospects, partners, and systems integrators.

Responsibilities
  • Own competitive intelligence gathering and analysis for Databricks (primary) and Google BigQuery and IBM watsonx, delivering actionable insights that drive business decisions
  • Conduct comprehensive research using both internal sources (sales teams, product teams) and external sources (social media, competitor websites, industry analysts, conferences)
  • Apply GenAI tooling — including Claude, Copilot, Gemini, and Crayon — to accelerate research workflows, expand coverage capacity, and maintain consistent analytical output across the coverage portfolio
  • Develop and maintain structured prompt libraries for repeatable CI research and content development workflows
  • Monitor competitor activity and market signals using agentic AI monitoring tools, with disciplined source verification and factual accuracy as a non-negotiable standard for all work product
  • Create and maintain competitive battlecards, deep dives, and sales enablement materials that directly impact competitive win rates
  • Collaborate with marketing to develop differentiated positioning and messaging
  • Provide real-time competitive sales support for high-stakes GTM opportunities
  • Develop and deliver competitive training and enablement programs for global sales teams
  • Maintain and evolve the competitive intelligence knowledge base
  • Present competitive insights and recommendations to executive leadership
Who You’ll Work With

You will partner with product management to influence roadmap decisions based on competitive analysis, with particular depth in agentic AI architectures and vector datastore competitive dynamics.

What Makes You a Qualified Candidate
  • Bachelor's degree in a related field (Business, Marketing, Technology, or similar)
  • 5+ years of experience in competitive intelligence, market research, product marketing, or industry analysis
  • Understanding of the modern data and AI landscape — analytical platforms, machine learning infrastructure, and agentic AI architectures
  • Knowledge of vector datastores and open table formats (Iceberg, Delta, Hudi) as competitive subject matter
  • Hands‑on familiarity with GenAI tooling as a research and productivity methodology — including large language models, prompt engineering, and agentic monitoring platforms such as Crayon
  • Experience with the enterprise software sales cycle and competitive deal dynamics
  • Proven track record of enabling sales teams in competitive situations
  • Knowledge of the cloud ecosystem including public cloud, hybrid, and on-premises environments
  • Travel may be required up to 15% of the time.
What You’ll Bring
  • Strong analytical mindset with the ability to transform complex data into actionable insights — and the discipline to verify AI-generated research before it enters the work product
  • Excellent communication skills, both written and verbal, with proven presentation abilities to executive audiences
  • Strategic thinking and prioritization capabilities across a multi-vendor coverage portfolio
  • Project management expertise to handle multiple concurrent initiatives
  • Research proficiency using both qualitative and quantitative methodologies, including AI-augmented research techniques
  • Working knowledge of GenAI tooling — including large language models, prompt engineering, and agentic monitoring platforms — as applied research and productivity tools
  • Ability to build strong relationships across organizational functions
  • Understanding of data architectures, particularly cloud-native analytics platforms, agentic AI architectures, and vector datastores
Why We Think You’ll Love Teradata

We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are committedto actively workingto foster an inclusive environment that celebrates peoplefor all of who they are.

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