Counterpart
Management & professional liability insurance for the 21st century workplace
insurance • management liability • technology • data • D&O
11 - 50
Data Analyst
November 11, 2023
Counterpart
Management & professional liability insurance for the 21st century workplace
insurance • management liability • technology • data • D&O
11 - 50
Description
• Find insights into performance across the entire organization and own data visualizations. • Develop complex analyses and reporting related to our underwriting, operations, business development, product performance, and user experience. • Assist the data science, operations, and insurance teams with ad hoc analysis, data normalization, data cleansing and process improvement. • Support the integration and production of new data sources in a manner that minimizes development cycles while maximizing potential business applications. • Continuously challenge how we can improve our underwriting while reducing the number of questions that need to be answered in an application. • Maintain a clean production environment such that the data models can be easily interpreted and built upon by other data science and engineering team members. • Present your work, findings, and opinions to both technical and non-technical stakeholders.
Requirements
• Bachelor/Master in quantitative discipline (computer science, actuarial science, mathematics, statistics, economics, physics, engineering or related field). • Best in class skills with Business Intelligence tools (i.e. Looker/Tableau/PowerBI) • Ability to balance competing priorities and focus on key initiatives, by estimating timelines and keeping team/documentation updated with status of projects • Experience and excitement using modern cloud computing and cloud databases/tools (i.e. AWS, Snowflake, DBT, Airflow) • A passion for solving challenging mathematical problems and an interest in exploring new machine learning tools and technologies. • 2+ years experience with Python. • Communications skills for translating technical or statistical analysis results into business recommendations. • Bias to practical action and creativity using data (we value past or present projects that support this). • Interest/experience in behavioral economics and “nudging” • Bonus points for past experience in an insurance industry and/or experience with data scientist techniques (e.g. Factor Analysis, Cluster Analysis, CART, MARS, Neural Networks).
Benefits
• Unlimited Vacation • Work from Anywhere • Stock Options • Health, Dental, and Vision Coverage • 401(k) Retirement Plan • Parental Leave • Home Office Allowance • Book stipend • Professional Development Reimbursement • No working birthdays • Charitable Contribution Matching
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