Data Analyst

Shaping and managing company culture is hard, but more important than ever in this highly competitive and dynamic market environment. Culture dictates whether the workplace fosters growth, community, and purpose or stress, confusion, and mistrust. Despite evidence of the financial and societal benefits of strong cultures, it is usually an afterthought. Our platform helps companies to be the best versions of themselves through financial incentives and proven frameworks. That’s where you come in. 

As a Data Analyst, you will work with the Data Science team building analytical processes to enable traditional machine learning techniques, as well as AI systems in automated decision making. It will be your responsibility to find methods of measuring how effectively the Data Science systems enable business outcomes. You will also be responsible for using analytics to identify ways to improve models. This role will bridge the gap between Data Science and Business. We are looking for a strong communicator who can effectively reason with data to drive to conclusions.

AS A DATA ANALYST YOU WILL: 

• Collaborate with insurance domain experts and engineering team members to leverage Machine Learning models to enable higher-quality, more efficient underwriting decisions
• Design frameworks to measure effectiveness of automated systems and models in the context of business impact
• Develop hypothesis-driven analyses to identify high-impact areas for automation and model-driven decision making
• Develop techniques to validate the effectiveness and accuracy of AI-driven data-extraction and synthesis
• Present your work, findings, and opinions to both technical and non-technical stakeholders.
• Support the usage of new data sources in automated decisions (e.g. web scraping, public/private APIs,) in a manner that minimizes development cycles while maximizing potential business applications. 
• Continuously challenge how we can improve our underwriting while reducing the number of questions that need to be answered in an application.
• Maintain a clean production environment such that the data models can be easily interpreted and built upon by other data science and engineering team members. 
• Build and support a team of data scientists and analysts to accelerate our learnings and elevate our product offerings.
• Proposals for new projects that are aligned with company goals

WE LOOK FOR TEAMMATES WHO HAVE: 

• Bachelor/Master in quantitative or business discipline
• 2-5 years of experience as an analyst; experience building end-to-end projects which drive to actionable conclusions
• Experience building reports and dashboards for decision frameworks
• Experience using Python to perform analytics and reporting
• A track record of exceptional individual contributions leading to meaningful impact (as measured by a key metrics)
• Exceptional communication with non-technical stakeholders
• Strong time management and organization skills; ability to commit to medium-long term deadlines and up-front clear communication around whether or not the schedule is on-track
• A strong understanding of how to add business value
• Ability to embrace an effective, but imperfect recommendation
• Familiarity with and interest in traditional machine learning and AI
• Bias to practical action and creativity using data (we value past or present projects that support this). 

WHO YOU WILL WORK WITH: 

• Tobias Schuler, Head of Data & Analytics: Tobias was previously the Head of Data and Analytics at Digital Partners, a Munich Re company. Tobias led a team that built out data integrations, business intelligence and advanced analytics across all insurtech partners spanning various P&C lines of businesses. Tobias is also a FCAS and has built systems to enable leading class insights for underwriting, actuarial, claims and finance experts while focusing on democratizing data. He enjoys traveling internationally and spending time with his 2 young daughters.
• Elizabeth Barsalou, Data Science Manager: Before joining Counterpart, Elizabeth worked as a full stack data scientist in small business lending for Kabbage and BHG. She specialized in building data science models, infrastructure and strategies to extend credit to small businesses. She lives in San Francisco and spends her free time singing opera and playing with her dogs.

• Stanley Wang, Director, Pricing Analytics: Before joining Counterpart, Stanley worked as an actuary within the pricing solutions and methods team at USAA to combine actuarial pricing with data science models. Before that, he was a leading data scientist for Digital Partners, a Munich Re Company where he specialized in building data science models and insights for leading insurtech companies. He has had many other relevant roles such as capital modeling, risk management etc. He lives in New York with his growing family.

COUNTERPART'S VALUES

• Conjoin Expectations - it is the cornerstone of autonomy. Ensure you are aware of what is expected of you and clearly articulate what you expect of others. 
• Speak Boldly & Honestly - the only failure is not learning from mistakes. Don’t cheat yourself and your colleagues of the feedback needed when  expectations aren’t being met. 
• Be Entrepreneurial - control your own destiny.  Embrace action over perfection while navigating any obstacles that stand in the way of your ultimate goal. 
• Practice Omotenashi (“selfless hospitality”) - trust will follow.  Consider every interaction with internal and external partners an opportunity to develop trust by going above and beyond what is expected. 
• Hold Nothing As Sacred - create routines but modify them routinely.  Take the time to reflect on where the business is today, where it needs to  go, and what you have to change in order to get there. 
• Prioritize Wellness - some things should never be sacrificed. We create an environment that stretches everyone to grow and improve, which is fulfilling, but is only one part of a meaningful life.

Our estimated pay range for this role is $130,000 to $160,000. Base salary is determined by a variety of factors, including but not limited to, market data, location, internal equitability, and experience.

We are committed to being a welcoming and inclusive workplace for everyone, and we are intentional about making sure people feel respected, supported and connected at work—regardless of who you are or where you come from. We value and celebrate our differences and we believe being open about who we are allows us to do the best work of our lives. 

We are an Equal Opportunity Employer. We do not discriminate against qualified applicants or employees on the basis of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by federal, state, or local law, rule, or regulation.