Bring! - #1 Shoppinglist in Europe

Financial Planning and Analysis

• Overall responsibility for the Finance area, including functional and personnel leadership of two team members
• Act as a sparring partner to the CEO on financial and business matters
• Further develop the finance strategy to support company growth
• Lead and execute the budgeting, forecasting and strategic financial planning processes
• Build, develop and maintain KPIs and management reporting tools for management and team leads
• Monthly closings, consolidation of group companies and reporting under the Swiss Code of Obligations
• Responsibility for the annual financial statements and cooperation with auditors, banks and other stakeholders
• Collaborate with the finance teams of the Swiss Post Group on relevant reporting topics and finance projects
• Support the commercialization of new advertising products and the exploration of potential new markets
• Hands-on contribution to day-to-day finance operations

Head of Finance

Data Scientist

• **We build the perfect shopping companions!**
• Our vision at Bring! Labs is to simplify daily shopping for people around the world. Our “Bring!” and “Profital” apps are used in millions of households to organize daily shopping, discover new delicious recipes and find the best local deals.
• We help brands and retailers to reach out to their existing and future customers. We provide them with the most relevant advertising platform to showcase and promote their products at the right time: during the planning and execution of their household shopping.
• **About this role **
• Our data team uses various methods to transform raw data into relevant insights. In this role, you’ll create algorithms and conduct statistical analysis. Overall, you’ll strive for efficiency by aligning data systems with business goals.
• The role includes the following:
• - Analyze and organize raw data from our mobile applications
• - Perform extensive statistical analysis for A/B testing
• - Evaluate business needs and objectives, ideate solutions
• - Interpret trends and patterns, create reports with insights
• - Build Machine Learning models for predictive features
• - Closely collaborate with the data engineers on the team

Data Scientist – m/w/x

Data Engineer

• Design the target data architecture, establishing modeling patterns and transformation standards
• Lead the migration of existing pipelines to dbt, improving and consolidating the current solution
• Define, own and document data contracts between source systems and downstream consumers
• Partner with product and operations teams to translate business needs into scalable data models
• Build for self-service, enabling teams across the company to access and trust the data they need

Head of Finance

Data Scientist – m/w/x

Senior Data Engineer