Leading global proptech companies you'll love to work for

Business Intelligence Analyst

Kin Insurance

Kin Insurance

IT, Operations, Data Science
Chicago, IL, USA
Posted on Friday, May 24, 2024

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 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 Business Intelligence Analyst, you will play a key role in the analytic/discovery process across the organization.

You will work with internal leadership to define and structure critical datasets and data consumption layers, and will collaborate with engineering to ingest, clean, and analyze data from multiple sources. You will be responsible for maintaining the single source of truth for various stakeholders, optimizing the cadence of ETL processes, and automating data reporting processes.

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 Accounting, Finance, and Compliance departments to determine solutions to key business problems

  • Work with databases to extract, transform, and load (ETL) data for analysis. Ensure ETL processes are scalable and reliable

  • Collaborate with stakeholders and other BI analysts to gather new business use cases and requirements; work with BI leadership to construct project plans and delivery timelines

  • Partner with data engineers on the ingestion of new data sources: communicating requirements, validating data quality, and ensuring projects meet all necessary deadlines

  • Identify opportunities for new data structures or consumption layers based on new product launches, changes in business practice, changes in regulation, themes in ad-hoc requests from business users, etc

  • Use analytics tools to monitor data quality and ETL process run-times; help identify root causes of data quality issues and weak points in data pipelines; recommend/implement necessary improvements

  • Use domain knowledge to assist BI analysts and business users with ad-hoc requests

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

  • Bachelor’s degree in Accounting, Finance, Computer Science, Engineering, Mathematics or a related field or equivalent professional experience

  • 3+ years of work experience in analytics, accounting, finance, compliance, risk management, regulatory reporting or equivalent analytical experience

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

  • Moderate 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 modern data solutions (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 engineers about technical features and product architecture

Bonus Points:

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

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

  • Prior experience using dbt to deploy and manage data pipelines

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

  • Medical, Dental, Vision, Disability + Life Insurance

  • Flexible PTO policy

  • Remote work

  • Generous equity package

  • 401K with company match

  • Parental leave

  • Continuing education + professional development

  • The excitement of joining a high-growth Insurtech company and seeing your work make an impact

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.