Head of Data Analytics
vor 6 Monaten
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:Join our dynamic Billie team as the Head of Data Analytics, based in the vibrant city of Berlin, Germany. In this pivotal role, you will spearhead the leadership of our small but strong and cutting-edge business analytics function, overseeing the analytics needs of the whole company.
As a Head of Data Analytics you will be responsible for leading and mentoring a team of data Analysts, guiding them in delivering high-quality, actionable insights that drive business decisions. You will play a pivotal role in defining the analytics strategy, setting team priorities, and ensuring alignment with overall business goals. Your strong leadership skills, combined with deep expertise in data analytics, will be essential in fostering Billie’s data-driven culture and achieving our strategic objectives.
As a key member of Billie, reporting to the VP of Data Science and Risk, your primary responsibility will be to create valuable insights that contribute to informed decision-making, specifically supporting effectively risk management of Billie's entire lending portfolio.
Team Management
- Lead, mentor, and manage a team of data analysts, fostering professional growth and development.
- Manage resources, budgets, and timelines to meet project deadlines and deliverables.
Analytics Leadership
- Define and drive the analytics strategy, ensuring alignment with business goals and priorities.
- Oversee the development and delivery of analytical projects, ensuring accuracy, quality, and relevance of insights.
- Foster a data-driven culture, promoting the use of data and analytics to inform decision-making.
- Develop and implement best practices for data modeling, analysis, reporting, and visualization.
Insights and Analysis
- Generate meaningful insights related to risk models, delinquency, and net loss performance, comparing these with approval rates to steer portfolios effectively.
- Delivering high quality reports, dashboards and documentation tailored to the needs and the audience with the right level detail.
- Ensure effective communication of insights and recommendations to stakeholders at all levels of the organization; provide education to internal and, where necessary, external stakeholders.
- Own the definition and standardization of key business metrics to stakeholders.
Collaboration and Strategy
- Collaborate with cross-functional teams, including Decision Science, Data Engineering, Product, Business Development to identify and address analytical needs.
- Proactively identify opportunities and recommend adjustments to Billie's decision strategies and product functionalities to mitigate risk.
Infrastructure Enhancement
- Support improvements in data and platform infrastructure to enhance analytics capabilities and tools.
- Drive continuous improvement in analytics processes, tools, and methodologies.
- You have proven experience in leading and managing a team of data analysts or similar roles
- You have strong analytical skills, with expertise in data analysis, interpretation, and visualization
- You are a strategic thinker and have problem-solving skills, with a focus on driving business impact
- You have strong project management skills, with a track record of delivering projects on time and within scope
- You have a strong technical proficiency: advanced skills in SQL, and modern business intelligence tools (Tableau, Looker, PowerBI, Sisense)
- You know programming languages (R, Python) and have knowledge of statistical analysis and machine learning techniques
- You have experience with data transformation tools (e.g. DBT) and data warehousing solutions (e.g. Snowflake, BigQuery).
- Excellent communication skills, with the ability to translate complex data into actionable insights and recommendations
- You are able to build strong relationships with cross-functional teams and stakeholders.
- 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.
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