Senior Business Intelligence Analyst

Kin is on a mission to change home insurance from what it is to what it should be. Whether we’re leveraging data to create customizable coverage or providing claims service that goes above and beyond expectations, our members are at the heart of everything we do. In the face of ever-growing climate risk, they deserve an insurance company that cares about them. We aim to stick with our members through thick and thin.

Use efficient technology that lets homeowners buy directly from us to keep costs down: This is the essence of Kin. Our approach has fostered amazing growth, attracted marquee investors, and earned us accolades, including being named to:

• Built In Chicago's Best Places to Work, Midsize Companies (2021-2024).

• Forbes' America's Best Startup Employers (2021- 2023).

• Inc. 5000 Fastest-Growing Private Companies.

• Forbes’ Fintech 50.

Simply put, our people are what make us great – we need forward-thinking, inspired game-changers like you to join us in our mission.

So, what’s the role?

We are currently looking for a Senior 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 Senior Business Intelligence 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: 

• Work with databases to extract, transform, and load (ETL) data for analysis. Ensure data quality and accuracy

• Create comprehensive diagnostic dashboards and reports to efficiently monitor and communicate the performance of Insurance KPIs

• Leading discovery sessions to gain insights into the business and understand the most pressing problems that require data-centric solutions (ex. Development of scorecards to measure efficiency, loss expenses analysis)

• Designing and implementing advanced analytic models for accurate and efficient analytics (ex. Analyzing claims descriptions to predict losses, customer response sentiment)

• Utilizing analytical tools for process automation, enhancing data-driven decision-making capabilities (i.e Looker, SQL, Python, other ETL and BI tools)

• 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

• Creating and managing prioritized analytical product roadmaps of epics that address the biggest business needs and meaningfully impact our OKRs (Objectives/Key Results)

• Writing user stories that provide all of the details needed by our development teams to develop data products

• Working with other data fluent teams to define, evangelize, and monitor metrics that demonstrate success

• Mentoring junior analysts on analytics best practices and technical optimization

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

• 5+ years of work experience in analytics, insurance or equivalent analytical experience 

• Prior experience in the insurance industry with a solid understanding of insurance financials, claims processes, and data applications

• Advanced skills in SQL with a proven track record to independently query data from disparate sources 

• Familiarity with ETL processes: structuring new datasets and data-pipelines to meet business needs

• Moderate experience in Python for data analysis and transformation

• Experience working with data visualization tools (EX: Looker/Tableau/Power BI)

• Strong business acumen to make sense of and bring logic to data

• 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 engineering about technical features and product architecture

Bonus Points:

• Bachelor's Degree in Insurance or Risk Management 

• Prior experience in the insurance industry with an understanding of insurance financials, claims, and data applications

• Comfortable in a startup environment or working with ambiguity.  Fintech/Insurtech a plus.

• Prior experience using dbt to deploy and manage data pipelines

About Kin

Kin is the only pure-play, direct-to-consumer digital insurer focused on the growing home insurance market. We make policies convenient and affordable through a technology platform that delivers a seamless user experience, customized options for coverage, and fast, high-quality claims service. Kin is a fully licensed carrier that offers coverage through its reciprocal exchanges which are owned by its policyholders. To learn more, visit www.kin.com.

EEOC Statement

Kin is proud to be an Equal Employment Opportunity and Affirmative Action Employer. We don't just accept difference – we honor it, nurture it, and celebrate it. We don’t discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.