Competitive Intelligence Analyst
Quick Summary
Bachelor's Degree holder. Proven specialty in both qualitative and quantitative research Strong experience in market research, competitive intelligence, business analysis, or strategic insights.
The ALF Competitive Intelligence (CI) Program is a strategic initiative designed to provide actionable market, customer, and competitive intelligence across Elsevier's Academic Leaders & Funders (ALF) portfolio. Following a successful pilot phase for Pure, the program is now expanding to additional solutions including SciVal, Interfolio, and Scopus.
We are seeking a dedicated Market Research & Competitive Intelligence Analyst to support the growth and operationalization of this program. The successful candidate will gather, analyze, and synthesize information from multiple sources, including win/loss data, customer interviews, market research, sales feedback, competitive intelligence, Salesforce, and Gong. They will work closely with Solution Marketing, Sales, Product, and other stakeholders to identify market trends, customer needs, competitive threats, and growth opportunities.
The individual will play a key role in producing competitive intelligence briefs, battlecards, win/loss analyses, and strategic recommendations that help improve positioning, messaging, go-to-market strategies, and business decision-making.
Requirements
~2 min read- Bachelor's Degree holder.
- Proven specialty in both qualitative and quantitative research
- Strong experience in market research, competitive intelligence, business analysis, or strategic insights.
- Experience supporting B2B SaaS, technology, software, or professional services organizations.
- Ability to gather, synthesize, and interpret quantitative and qualitative data.
- Experience conducting customer interviews, surveys, or stakeholder interviews.
- Strong analytical and problem-solving skills.
- Experience creating reports, briefings, presentations, and executive summaries.
- Excellent written and verbal English communication skills.
- Strong proficiency with Microsoft Office (Excel, PowerPoint, Word).
- Ability to work independently and manage multiple priorities.
- Comfortable collaborating with global cross-functional teams.
- Experience working with CRM systems such as Salesforce.
- Experience working with conversation intelligence or customer insight platforms such as Gong (or ability to learn quickly).
- Ability to quickly learn and apply enterprise AI tools and technologies to support technical workflows and business objectives.
Nice-to-have:
- Master's degree in Marketing, Market Research, Business Administration, Strategic Management, or related field.
- Experience in higher education, research management, scholarly communications, research intelligence, or academic technology sectors.
- Experience building competitive intelligence programs or frameworks.
- Familiarity with Research Information Management (RIM), CRIS, research analytics, or library technology solutions.
- Experience with data visualization and business intelligence tools (Power BI, Tableau, Looker, etc.).
- Experience supporting product marketing or solution marketing teams.
- Knowledge of AI-assisted research, intelligence gathering, and market analysis tools.
- Experience conducting win/loss programs at scale.
- Exposure to strategic planning or go-to-market initiatives.
What We Offer
~1 min readWe are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
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About this job
- Posted
- Today
Listing Details
- First seen
- October 25, 2026
- Last seen
- October 25, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 51%
- Scored at
- October 25, 2026
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