Senior Product Analytics Manager, Axiom Law

• Bachelor’s Degree or equivalent experience
• 5+ years of experience working within Analytics (or Engineering)
• 5+ years of SQL development experience
• Experience with Python scripting
• Solid experience in at least one business intelligence reporting tool (e.g., Tableau, Quicksight, Qlikview, Looker)
• Strong experience building relationships with stakeholders across organizations
• High agency mindset, with a drive to find a way to get what you need, even with imperfect data or infrastructure
• Technical acumen and ability to communicate effectively with a variety of technical stakeholders
• Love and skill for storytelling and influencing others
• Self-starter with strong sense of ownership, drive for results, and problem-solving skills
• A passion for building great products and delivering value to customers

Desirable

• We are seeking a curious and hungry Product Analytics Manager to establish and lead our Product Analytics function
• E are looking for someone who is excited about doing what is needed to get the right data, including building pipelines (with the help of 1 Data Engineer), and who will recommend the right data strategy for platform analytics for the future
• Each of our jobs on the Product team is to build undeniably better customer experiences, that drive business outcomes, on time, in that order; and your role is critical to help us measure the quality and engagement of our product experiences
• Our 50-person Product and Platform team members are based across the US and UK. You will build out a small team of analysts in the UK, starting with 1 hire this year. The East Coast timezone enables maximum collaboration time with all team members
• Be an authority with a point of view for the organization and the team, finding the “story” in the data and challenging our understanding of customer behavior and business performance
• Develop data-driven business insights and work with the team and cross-functional partners to find opportunities, drive product strategy, planning, and execution
• Identify and develop hypotheses based on customer feedback and data. Help us learn well from our product launches and make recommendations as to how to iterate to create more value for customers
• Provide thought leadership on product data instrumentation and data requirements to help capture the right level of data early on in the product requirements phase
• Apply expert SQL and Python skills to access and transform data sets, including building data pipelines if needed
• Be a data champion for products and act as an interface between product, business, and technical teams
• Empower teams by automatic self-serve reporting for key customer metrics
• Hire and develop a small team of highly skilled analysts; supporting the delivery of high-quality and impactful insights
• Become an expert at our tech stack: Pendo, Tableau, Snowflake (or equivalent), AWS