Data Analyst job at Billie in Berlin

We are Billie, the leading provider of Buy Now, Pay Later (BNPL) payment methods for businesses, offering B2B companies innovative digital payment services and modern checkout solutions. We are to create a new standard for business payments and have made it our mission to simplify the purchasing experience for all businesses making it a tool for growth. Our solutions are based on proprietary, machine-learning-supported risk models, fully digitized processes and a highly scalable tech platform. This makes us a deep-tech company building financial products, not the other way around. We love building simple and elegant solutions and we strive for automation and scalability.

About the role:

In light of rapidly evolving and scaling up its development trajectory, Billie has recently set up a Portfolio Risk Management function. The main objective is to measure, control and drive decisions to optimize one of the core business metrics - portfolio losses. In order to do so, the team manages risk by researching and innovating, strategizing and recommending risk mitigating actions to relevant stakeholders (Decision science, Business Development and Account Management, Collection and Underwriting teams) in an integrated, scalable, secure and compliant way to enable the company's sustainable growth.

We are looking for a diligent Data (Risk) Analyst to join our Portfolio Management team and contribute to the development and enhancement of our portfolio risk management system.

In this role, you will look for solutions, establish relationships to be able to guide risk decisions within the company values and expectations and be able to mitigate risks while at the same time embrace growth opportunities.

The role is for someone who is a self-starter, enjoys exploring data for insights to support strategic decision making, is passionate about building data structures, analyzing and reporting on key performance indicators, comfortable to work on operational matters, willing to develop expertise in fraud and credit risk prevention, has excellent communication and strong interpersonal skills, is able to document effectively.

Responsibilities:

Perform in-depth portfolio data analysis from various angles (credit risk, fraud, acceptance rate and funnel) to develop a deep understanding of business processes and product, and to support risk optimisation
Design data models as part of data business warehouses to support reporting and analysis needs
Create, maintain and update Portfolio management dashboards and reports using BI tools to communicate insights effectively
Collect, consolidate, and closely track KPI metrics regarding portfolio performance, communicate key insights and recommendations to relevant stakeholders
Perform in-depth data analysis to support Risk and Fraud systems optimization
Identify and analyze potential sources of loss to minimize risk and estimate the potential financial consequences of a loss
Connect all business stakeholders in order to present portfolio's KPIs and drive the business approach to managing risk
Communicate issues in an independent and timely manner with appropriate internal and external partners

Who we are looking for:

You have at least 3-4 years proven experience in data analytics, data engineering or quantitative risk analytics
You have excellent proficiency in SQL
Proficiency in data and analytics concepts, tools, and methodologies
Experience in designing KPI dashboards for all types of audiences up to C-level
Proven track record of managing complex initiatives with strong emphasis on data, providing actionable insights and tracking success of those initiatives
Able to communicate complex problems in a simple and relevant manner at all levels
Experience with translating analytical insights into data driven business prioritization
You are proficient in data visualization and analytics tools, like Tableau, Power BI, Looker
You have strong business acumen coupled with highly analytical mindset
You had the chance to work in a fast-paced and dynamic environment
Strong sense of responsibility, self-starter, well organised, good planner, able to work independently and meet deadlines
Excellent organization skills, and ability to manage multiple responsibilities
Previously experience in a fraud, risk & payment management environment is an advantage

What we offer:

Flexible work hours and trust in your ability to deliver, empowering you to take control of your work-life balance
Hybrid working approach enabling a good balance working from home and the office
One of the best Virtual Shares Incentive Programs in the market, so that everyone at Billie is invested in our success
Our "Catch a Ride with Billie" program, that enables discounted access to Berlin Public Transport (BVG)
A yearly development budget to broaden your skill set and horizons
Free German group classes
An English-speaking, multicultural team with more than 46 nationalities
Great office space at Checkpoint Charlie with free gym access, barista coffee, drinks and more

Billie offers you the opportunity to be a part of one of the fastest-growing Fintech startups in Europe following the mission to innovate to create new freedom for businesses of all sizes. Our combined decades of experience in B2B Financing and Payments in a market thirsty for innovation and change make this a fantastic possibility to get into the most dynamic space in tech.

Join an international team of talented, passionate people where drive and merit matter. We work in nimble, cross-functional teams with open communication lines across the company. You'll be surrounded by smart people from a wide variety of backgrounds from which you can learn and that want to learn from you.

Are you ready to join Billie?

Billie is proud to be an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment in our workplace. By embracing talents and abilities of all kinds, we aim to boost motivation and team creativity. We do not discriminate on the basis of race, religion, national origin, age, marital status, gender, political views, beliefs, sexual orientation, color, disability status, or any other demographic factors.