Location: Hybrid- 3 days/week in one of our office locations in New York, NY, St. Petersburg, FL, or West Palm Beach, FL.
The Data Analyst will join a team of experienced analytical experts and contribute to the strategic design and operational development & delivery to our stakeholders of understandable, actionable insights through enterprise data assets. Analytics at Vault is the insights engine that enables the data-driven approach we use to help our colleagues and stakeholders make smarter decisions, faster and with less risk.
The successful candidate in this role will be a skilled practitioner in data analytics and Python, with understanding and proficiency in the Property & Casualty insurance space, including admitted and non-admitted product lines.
Key Stakeholders:
Vault is a small, nimble and innovative high-net-worth insurance provider, where you will immediately have the chance to make a lasting impact. You will collaborate directly with leaders across the company - in Sales, Product, Underwriting, Claims, Actuarial, Operations/Call Center, Technology and Vault’s executive leadership team.
Job Responsibilities:
· Take hands-on ownership of delivering analytical assets from early identification of business need through design, development and deployment – of new and updated analyses, ad-hoc requests for insights & reports, data visualizations and strategic roadmap workstreams
· Ensure development, delivery and ongoing optimization of Vault’s portfolio of analytical assets by effectively evaluating and participating in the prioritization of inbound requests
· Help define, and drive delivery of key components of Vault’s strategic roadmap for analytics capabilities
· Collaborate across Vault data experts, stakeholders, application architects/engineers and Data Architecture to ensure the data used by the company is optimized for analytics and insights
· Effectively understand not just the ‘what’ but the ‘why’ behind our stakeholders’ needs, and apply advanced analytical techniques to solve company-wide business problems
· Identify appropriate use cases and apply relevant techniques for classical and Generative AI, and descriptive vs. predictive analytical assets
· Participate in the enterprise roll-out and scaling of Snowflake across Vault
· Collaborate with stakeholders in business, IT and compliance areas to ensure ongoing data quality and governance
· Provide effective training to stakeholders of varying technical proficiency to understand and use Vault data assets
· Keep current and proficient in emerging analytical technologies and techniques, and apply them effectively to Vault’s analytics use cases
· Bring a growth mindset to the analytics team’s operational and strategic partnerships and intra-team collaboration, including active cross-training and knowledge sharing
Preferred Qualifications:
· 5+ years in data analytics experience
· Bachelor’s/Master’s degree in a quantitative field such as statistics, analytics, actuarial science, economics
· Deep understanding of Property and Casualty data, including admitted and non-admitted products
· Proficiency in modern data supply-chain, technology stack and programming languages – OLTP/OLAP, ETL, Data Lake/Data Mart, SQL, Python
· Technical proficiency in cloud/data toolsets, specifically one or more of: Tableau, MS Azure, Snowflake
· Demonstrated ability to simplify complex analytical subjects and findings to non-technical stakeholders through verbal, written and visual communication
Benefits:
Flexible Spending Accounts & Health Savings Account, with company contributions
Company-paid comprehensive life & disability insurance plans
24/7 Telehealth doctor access, virtual wellness screenings, Employee Assistance Programs
Company 401k retirement plan with Day 1 eligibility (6% company match, 100% immediate vesting)
23 PTO days, accrued yearly
11 paid holidays
Vault is committed to providing equal opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.