Associate Product Manager (Data & Insights)

LexisNexis Risk Solutions is a leading provider of legal, regulatory, and business information and analytics. The Associate Product Manager will analyze product usage data, collaborate with various teams to synthesize insights, and contribute to product discussions, focusing on data-driven decision making and understanding user behavior.

Responsibilities:

• Analyze product usage data to identify trends, patterns, and areas of opportunity
• Maintain and improve recurring reports on product usage, customer behavior, and key performance metrics
• Work with existing SQL queries and dashboards; modify and build new queries over time
• Partner with Product and Customer Support teams to synthesize insights from NPS scores, support tickets, and user feedback
• Develop a holistic view of how customers use Lex Machina, and help communicate that perspective to internal teams
• Identify gaps in data tracking and recommend improvements to instrumentation and reporting
• Support Product Managers by owning and systematizing ongoing reporting and analysis workflows
• Collaborate with Engineering and Data teams to ensure accuracy and accessibility of product data
• Contribute to product discussions by grounding decisions in data and observed user behavior, rather than focusing on feature scoping or delivery management
• Learn the Lex Machina product in depth and understand how different users derive value from it

Requirements:

• BA/BS required
• 0–2 years of experience in a professional, analytical, or product-related role
• Strong analytical and problem-solving skills, with attention to detail
• Ability to work independently and take ownership of projects with limited oversight
• Experience working with data in tools such as Excel or Google Sheets
• Basic familiarity with SQL, or willingness to learn quickly on the job
• Strong communication skills, with the ability to clearly present findings and insights
• Ability to manage multiple priorities and deliver consistent, reliable output
• Interest in SaaS products, analytics, and data-driven decision making
• Experience with SQL and/or Python for data analysis
• Familiarity with product analytics, reporting, or dashboarding tools
• Experience working in a SaaS or technology environment
• Exposure to customer support data, NPS, or user feedback analysis
• Familiarity with legal technology or the legal industry
• Experience working with large or complex datasets