Business Intelligence Analyst
Posted on 2/3/2024
INACTIVE
Kin Insurance

501-1,000 employees

Personalized home insurance solutions
Company Overview
Kin’s mission is to reimagine home insurance For Every New Normal. The company has proprietary technology and a direct-to-consumer model, Kin provides affordable pricing without compromising coverage, even in areas most impacted by climate change.
Fintech

Company Stage

Series D

Total Funding

$496.3M

Founded

2016

Headquarters

Chicago, Illinois

Growth & Insights
Headcount

6 month growth

4%

1 year growth

19%

2 year growth

55%
Locations
Chicago, IL, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Management
SQL
Business Strategy
Looker
Data Analysis
CategoriesNew
Business & Strategy
Requirements
  • Bachelor’s degree in Computer Science, Engineering, Mathematics or a related field or equivalent professional experience
  • 3+ years of work experience in analytics, finance, engineering, management consulting or equivalent analytical and product management experience
  • Prior experience in the insurance industry with an understanding of insurance financials, claims, and data applications
  • Proficient in SQL and moderate experience in Python for data analysis and transformation
  • Strong analytical modeling skills for accurate and insightful analysis
  • Ability to turn incomplete, conflicting, or ambiguous inputs into concrete action plans
  • Experience owning process management or process improvement projects
  • Ability to communicate with empathy and precision to gain alignment with internal stakeholders
  • Ability to effectively communicate with engineers about technical features and product architecture
Responsibilities
  • Working with Actuarial, Claims, Insurance Product, and Underwriting departments to determine solutions to key business problems
  • Work with databases to extract, transform, and load (ETL) data for analysis. Ensure data quality and accuracy
  • Leading discovery sessions to gain insights into the business and understand the most pressing problems that require data-centric solutions
  • Present findings and insights through visualizations (charts, graphs, reporting & dashboards) to make complex data more understandable for non-technical stakeholders
  • Utilizing analytical tools for process automation, enhancing data-driven decision-making capabilities (i.e Looker, SQL, Python, other ETL and BI tools)
  • Designing and implementing moderate analytic models for accurate and efficient analytics. Leverage the results of analysis to make predictions and help guide business strategy
  • Sharing key learnings with leadership, your development team, and the broader company
  • Writing user stories and use cases that provide all of the details needed by our development teams to develop data products (date engineers and analytic engineers)
  • Working with other data fluent teams to define, evangelize, and monitor metrics that demonstrate success
Desired Qualifications
  • Comfortable in a startup environment or working with ambiguity. Fintech/Insurtech a plus.