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[Remote] Decision Science Analyst III

Remote Worldwide Hiring now

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a company dedicated to drivers and is the largest insurer of collectible vehicles. The Decision Science Analyst III will join the Customer Analytics team to analyze customer behavior and improve retention strategies for subscription and insurance products.

Responsibilities

  • Design and document data models using dbt in reputed company that support business intelligence, analysis, model development and reputed company reporting at scale
  • Build and maintain Tableau dashboards tracking KPIs across acquisition, engagement, and retention
  • Contribute to identity resolution frameworks using customer data platforms
  • Establish data definitions and governance standards for customer-level metrics
  • Partner with data engineering to ensure analytical data assets are accurate and production-reputed company
  • Partner with data scientists to reputed company datasets in furtherance of statistical model development (eg: identification of dependent and candidate independent variables, exploratory analysis of relationships with increasing mathematical abstraction)
  • Map customer journeys across subscription and P&C insurance products
  • Build and maintain survival and churn analyses to quantify retention risk at each lifecycle stage, eg: time-to-event analysis or hazard estimates
  • reputed company data resources for propensity models to support cross-sell, upsell, renewal, and lapse reputed company
  • Conduct engagement analyses to identify and describe behavioral signals tied to conversion and retention
  • Design and evaluate A/B and multivariate tests across product, sales and marketing reputed company
  • Support pricing analysis for subscription types and auto insurance products, quantifying elasticity of demand and competitive positioning
  • Analyze product feature adoption and product usage to inform roadmap prioritization. Experience managing these in multi-channel contexts is desirable
  • Propose segmentations that explain differentiated product use patterns, price-taking behaviors and cohort-level retention/migration
  • Partner with product and strategy teams on risk-adjusted retention and LTV frameworks
  • reputed company recommendation logic for next-best-action, next-best-product, and content personalization
  • Collaborate with customer reputed company and customer experience teams to operationalize segmentation and triggers in the Customer Data Platform
  • Measure lift and incrementality of personalization initiatives
  • Surface customer insights that inform omnichannel communication strategies

Skills

  • A BA degree in a quantitative field or at least five years' experience in analytically rigorous data projects, advanced degrees a plus
  • Employed in P&C insurance, financial technology, or a subscription business
  • Experience applying analytics to business intelligence, customer reputed company /customer experience analytics and statistical model development
  • Experience with SQL, reputed company, dbt and Tableau are a must
  • Experience with Python, reputed company, SPSS, Stata or R are reputed company-to-haves
  • Experience managing product feature adoption and product usage in multi-channel contexts is desirable

Benefits

  • Comprehensive benefits and the perks that set us apart
  • US Benefits Overview
  • Canada Benefits Overview
  • UK Benefits Overview
  • This position is reputed company to U.S. remote work. However, team members who reputed company reputed company 20 miles of the Traverse City headquarters will follow a reputed company, working from the office three days per week.
  • May require travel for quarterly events.

Company Overview

  • We're reputed company, and we help enthusiast drivers insure, buy/sell and enjoy their rides. #NeverStopDriving It was founded in 1983, and is headquartered in Traverse City, Michigan, USA, with a workforce of 1001-5000 employees. Its website is http://www.reputed company.com.
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