Competitive Intelligence Analyst
O'Melveny & Myers LLP · Beverly Hills, CA · 5 days ago
Marketing$110k–$130k/yrFull-time
Responsibilities
- Conducting legal and business research using platforms including: Lexis, Westlaw, Bloomberg Law, S&P Capital IQ, Pitchbook, Lex Machina, Courthouse News, PACER, and other providers.
- Preparing research reports on companies, industries, practices, competitors, legal issues, and emerging legal trends to facilitate business development efforts.
- Leveraging artificial intelligence tools for research, with a developed understanding of the risks, benefits, and suitable use cases among different platforms (e.g. Harvey, Copilot, Gemini, and AI tools embedded into legacy resources).
- Curating data-driven newsletters involving clients, practices, industries, peers, and emerging trends - familiarity with Lexis Newsdesk or similar news aggregators a plus.
- Tracking emerging legal issues and trends by creating and processing alerts to update attorneys on key developments.
- Assisting with the firm's Litigation and Trend Spotting initiative to drive business opportunities for attorneys in real-time.
- Preparing ROI reports to support CI initiatives.
Requirements
- 3-5 years of experience in competitive intelligence, market intelligence, corporate research, or a similar role in a law firm or professional services setting.
- Able to work independently and balance competing deadlines in a fast-paced environment.
- A highly communicative team player with strong attention to detail.
- Advanced skills in core business software: Excel, Word, PowerPoint.
- Experience with most of our online research platforms, including: Lexis, Westlaw, Bloomberg Law, S&P Capital IQ, Pitchbook, Lex Machina, Courthouse News, PACER.
Qualifications
- Bachelor's degree or higher; candidates with either a JD, MBA, or MLS/MLIS are preferred.
Benefits
The salary range in CA for this role is $110,000 - $130,000 and represents the firm’s good faith minimum and maximum range for this role at the time of posting. The actual compensation offered to a candidate will be dependent on a variety of factors including, but not limited to, the candidate’s experience, qualifications, and location.