Senior Data Analyst

at Kinetic
  • $140k-$160k
  • Remote - United States

Remote

Data

Senior

Job description

About Kinetic

The Kinetic team is on a mission to create a safer workplace and better life for the frontline workforce around the world. We are re-defining workers comp by focusing on three main pillars: injury prediction, prevention, and management. Kinetic develops technology-driven solutions in each of these areas to create best-in-class outcomes for our policyholders.

Kinetic’s first product is a smart wearable device that monitors kinematic motion of an employee, and helps provide coaching on high-risk ergonomic motions such as bending, twisting, and jumping. It has proven to be incredibly effective at reducing frequency and severity of strain and sprain injuries by over 55%. Since then, we have expanded into developing tools such as a rapid-return-to-work process, computer vision for safety in the workplace, and generative AI for claims management. This is an exciting opportunity to work at a company fusing technology with industry leading services to create happier, healthier employees.

Kinetic is based in New York city, but has workers based remotely in many geographic locations. At this stage, Kinetic has approximately 70 employees and is expanding rapidly due to the rapid growth, with 10x growth in just 2 years.

The Role

At Kinetic, we are extremely data driven - we rarely make decisions without them being backed by data. We meticulously track the important metrics in our business, and have a suite of dashboards that provide those metrics along with corresponding trends and insights.

We are looking for a Senior Data Analyst that enjoys diving into data and thinking analytically about business problems and user behaviors. The ideal candidate is excited to work with the entire executive team and their respective departments to understand our goals, develop dashboards that can track the relevant metrics and guide the company towards success through data-driven decisions. You will need the intuition to identify important analytical questions, the technical ability for complex deep-dives, and the communication skills to turn data insights into action. You will work with multiple insurance stakeholders, ranging from underwriting, distribution, claims, product and everything in between. In order to succeed, you’ll need to demonstrate strong capabilities at uncovering patterns and delivering data-driven insights. This is an individual contributor role with no management related responsibilities.

What you’ll do:

  • Build, develop and manage dashboards to track progress against objectives, understand key metric drivers, and help business stakeholders make data-informed decisions
  • Keep track of the main leading indicators and performance metrics associated with the workers compensation line of insurance.
  • Conduct deep-dive analysis to improve insurance product performance, with focus on pricing, distribution, claims and underwriting.
  • Identify, size and prioritize opportunities pertaining to growth and profitability. (Examples would be identifying which states or class codes to expand in)
  • Interact with the actuaries at our partner organizations, sharing and discussing relevant metrics on performance and development.
  • Develop detailed analysis showing the impact of our products on claims costs and frequency.
  • At Kinetic, we welcome candidates who are enthusiastic about learning and adapting to the exciting world of AI, as a commitment to ongoing growth in this field is a fundamental part of our culture.

What you’ve done:

  • 5+ Professional experience in a quantitative analysis role, with a BS/BA degree
  • Experience in the commercial insurance industry (preferably in workers compensation), which comes with deep understanding of the most important metrics to measure and track the performance of a book of business
  • Understand the full insurance value chain – agency, submissions, quotes, binds, policies, endorsements, cancellations and commissions.
  • General knowledge of data science programming languages such as Python, proficiency in database query tools such as SQL and comfort with spreadsheet tools such as Excel or Google Sheets.
  • Ability to define relevant metrics that can guide and influence stakeholders to the appropriate and accurate insights and actions.
  • Experience building clear and easy to understand dashboards working with BI tools (Looker, Tableau, Mixpanel etc.)
  • Strong handle on basics of statistics (mean, variance, trends, etc)
  • Ability to communicate effectively to cross functional partners of varying technical levels
  • Experience influencing the product strategy through analyses

Big plus if:

  • Experience at a startup, insuretech or MGA
  • Experience in workers compensation

What we offer:

  • $140k - 160k base salary potential plus equity
  • Choose your OS - employees can choose any computer they prefer
  • Medical, dental, and vision insurance
  • 20 vacation days per year
  • 9 federal holidays off
  • Parental Leave
  • Pre-tax 401k contribution
  • HSA with compatible health plans
  • FREE: Health Advocate
  • FREE: Telehealth Membership
  • FREE: OneMedical Account
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