So, what’s the role?

We are currently looking for a Business Intelligence Analyst to join our Data and Analytics team. Kin at its core is built on data, this team is not only providing analytics about what happened in the past but utilizing data to predict the now and the future! As a Decision Science Analyst, you will play a key role in the analytic/discovery process across the organization. You will be identifying and prioritizing problems throughout the organization, developing and providing actionable solutions, and communicating those results to business partners. 

In order to be successful for this role, you will need to be creative, empathetic, self-directed, and curious. You will be able to learn quickly about our customers (both internal and external), and be excited to propose solutions that drive customer satisfaction. Using your influence and persuasion with internal stakeholders to align on and adopt these solutions is critical for success in this role.

A day in the life could include: 

• 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

I’ve got the skills… but do I have the necessary ones?

• 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 a understanding of insurance financials, claims, and data applications
• Demonstrated experience in competitive analysis using modern data solutions, translating market insights into strategic advantages for clients
• Experience working with modern data solutions (EX: Looker/Tableau/Power BI)
• 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

Bonus Points

• Demonstrated experience in competitive analysis using modern data solutions, translating market insights into strategic advantages for clients
• Comfortable in a startup environment or working with ambiguity. Fintech/Insurtech a plus.

Oh, and don’t worry, we’ve got you covered! 

• Medical, Dental, Vision, Disability and Life Insurance
• Flexible PTO policy 
• Remote work
• Generous equity package
• 401K with company match
• Parental leave
• Continuing education and professional development
• The excitement of joining a high-growth Insurtech company and seeing your work make an impact