VP Data Analytics

New York City

EvolutionIQ

EvolutionIQ has invented an entirely new category of software that guides examiners and adjusters to the right claim at the right time. Claimants win because they’re placed on the right recovery path early, stress and worry are reduced, and...

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About Us: EvolutionIQ’s mission is to improve the lives of injured and disabled workers and enable them to return to the workforce, saving billions of dollars in avoidable costs and lost productivity to the US and global economies and make insurance more affordable for everyone. We are currently experiencing massive growth and to accomplish our goals, we are hiring world-class talent who want to help build and scale internally, and transform the insurance space. We’re backed by First Round Capital, FirstMark Capital, Foundation Capital, Brewer Lane Ventures, and have been named as Inc.’s top places to work

Your Impact: As the VP of Data Analytics you will launch and build out the Data Science & Insights (DSI) team which will drive EvolutionIQ’s strategic evolution, ensuring that data-driven insights lead to the prioritization of high-value projects and operations. Acting as the company's analytical conscience, this team will evaluate project viability and potential based on rigorous data analysis, historical performance, and high ROI potential. 

What You'll Achieve (Performance Outcomes)

  • Build and manage the DSI team an internal CoE which will provide data-driven insights to leadership and stakeholders for a wide range of areas. The effectiveness and outcomes this team will deliver include but are not limited to the following: Influence on Project Prioritization, Accuracy of Historical Insights, ROI Measurement Accuracy, and Impact of Experimental Insights.
  • Through in depth data analysis, provide accurate and defendable ROI measurement & attribution, which underpin the integrity of our insights and recommendations.
  • Present results to internal stakeholders as well as our clients in the insurance industry
  • Build, own, and standardize client-facing analysis and reporting on existing products across multiple clients and ROI dimensions.
  • Ensure the team builds high quality, reproducible and reusable analytics
  • Continue to grow and learn in the data & analytics space, focusing on business problems that require making sense of large-scale structured and unstructured datasets.
  • Oversee the integration of cross-organizational projects, drive improvements and recommendations, and define operational goals and objectives.
  • Provide direction and accomplish results for business leaders through solving hard measurement problems that impact business bottom line.

About You (Key Competencies):

  • 10+ years of data analysis/quantitative experience, preferably in a technology or software development environment. 
  • 3+ years directly managing a team of Data Scientists/Analyst (or similar) that has provided key analysis and insights to the business.
  • Sophisticated knowledge of statistics, linear & non-parametric modeling, and advanced SQL engineering experience. 
  • Designed, implemented, and analyzed A/B or multi-arm experiments with clear recommendations for product direction & development.
  • Proficient in the use of Python, pandas, Jupyter notebooks, and SQL-based analytics dashboards (e.g., Google’s DataStudio / Looker or Tableau), and familiarity with standard statistical packages and visualization tools in Python. 
  • Excellent communication, storytelling, and presentation skills
  • Proven understanding of Product and Business analytics, fundamentals, and processes
  • Proven ability to synthesize data insights into actionable recommendations
  • Proven ability to handle large datasets via SQL and/or map-reduce analytics and data aggregation as needed.
  • Master's degree or higher in statistics or related quantitative fields is highly preferred. 

Work-life, Culture & Perks: 

  • Compensation: The salary range is 250-275K with flexibility, depending on a candidate’s background and experience plus meaningful equity (stock options)
  • Well-Being: Full medical, dental, vision, short- & long-term disability, 401k matching. 100% of the employee contribution up to 3% and 50% of the next 2%
  • Home & Family: Flexible PTO, 100% paid parental leave (4 months for primary caregivers and 3 months for secondary caregivers), sick days, paid time off. For new parents returning to work we offer a flexible schedule. We also offer sleep training to help you and your family navigate life schedules with a newborn
  • Office Life: Catered lunches, happy hours, and pet-friendly office space. $500 for your in home office setup and $200/year for upgrades every year after your initial setup
  • Growth & Training: $1,000/year for each employee for professional development, as well as upskilling opportunities internally
  • Sponsorship: We are open to sponsoring candidates currently in the U.S. who need to transfer their active H1-B visa

 

EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees

 

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Business Analytics Data analysis Data Analytics Engineering Jupyter Looker Pandas Python SQL Statistics Tableau

Perks/benefits: 401(k) matching Career development Equity Flex hours Flex vacation Health care Home office stipend Insurance Medical leave Parental leave Pet friendly Startup environment Team events

Region: North America
Country: United States
Job stats:  3  0  0
Category: Analyst Jobs

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