himarley · Hybrid - Boston, MA
Skills: Python, SQL
Insurance plays an important role in people’s lives, providing protection and peace of mind through life’s adventures and unexpected turns. In the moments that matter, people want to know their insurer is there for them. At Hi Marley, we help insurers deliver on that promise through communication that brings greater clarity and connection to the policyholder experience. About the role You'll be the person who knows how our customers really use Hi Marley, and who turns that knowledge into better decisions across the company. You'll join a growing Analytics team with shared standards, tools, and a career path, and partner most closely with Product and Customer Success on a modern data stack (Redshift, dbt, and Dagster). This isn't a reporting queue. You'll take a business question from the first conversation to an answer, and sometimes present that answer straight to a customer. If an ambiguous question and a fresh dataset sound like a good afternoon, you'll love this role. Teamwork and shared enthusiasm are a core part of our culture, which is why this role involves joining us in the Boston office for 3 days each week. What you'll do Become our go-to expert on how customers use Hi Marley, and help teams across the company act on what you learn Partner with Product to define success metrics for new and existing features, then analyze adoption and funnels and recommend what's next Measure customer pilots and utilization with Customer Success and Growth, and present the readouts directly to customers to prove value Move the reporting our customer team relies on to self-serve on one trusted set of metrics, and give Data Engineering clear requirements so your analyses become governed data models About you You have 7+ years of relevant experience, including 5+ in analytics or data analysis, with strong SQL and a modern BI tool like Looker You have a track record of defining metrics tied to real business decisions, using data to change minds, and partnering with data engine…
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