Collaborate on a variety of projects with a diverse set of cross-functional partners, become a trusted strategic partner, and build credibility through the structure & clarity of your work.
Apply technical expertise with statistical analysis, experimentation, and the presentation of data to deliver strategic insight for the wholesale segment.
Develop hypotheses through analytical approaches, different methodologies, frameworks, and technical approaches to test them.
Work across domains (claims, underwriting, operations, actuarial, etc.) to define, understand, and test opportunities to drive meaningful improvements in these areas.
You will use data to inform business strategies, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to the organization.
Use storytelling techniques to communicate insights broadly, including to segment leadership teams.
Requirements & Skills:
Collaboration – functions well as part of a team, a history of effective relationships across organizational boundaries
Curiosity – possesses a discovery mindset and has a passion for exploring/researching
Tenacity – the ability to stick with a problem and persist with data-wrangling to achieve project goals
Comfortable with ambiguity on projects – can navigate unknowns and operate in white space; works backward from the business goal to develop an action plan
Strong background in statistics and approaching problems quantitatively
A proven track record for crafting analysis into well-written and persuasive content
Experience serving as a thought partner to executives
Translate analysis findings and technical topics, visualize data to explain results to a non-technical business audience and senior management
Desired skills: SQL queries, Python data science libraries (pandas, scikit-learn, numpy, matplotlib, seaborn, etc.). Experience with Databricks a plus.
Education: bachelor’s degree in a quantitative discipline (economics, engineering, computer science, data science, statistics, mathematics, physics, etc.)
