WFM Forecasting Expert

About the opportunity:

As a Forecasting Analyst in the WFM team, you are responsible for producing high quality demand forecasts for different workstreams across operations. Your forecasts will be used for capacity planning, budget planning, and shift scheduling of our in-house teams and external partners. Additionally your forecasting expertise will be used to support the implementation of new products and key initiatives, and you will be the internal go-to person for forecasting related questions. You will challenge existing frameworks and implement innovative solutions using your experience and knowledge.  

In this role, you will:

• Forecast resource requirements across different teams and workstreams to meet customer/stakeholder demand and required service levels.
• Produce analytics on forecast performance, as well as volume evolution and the effect of internal or external factors on volume such as new product launches.
• Assist in the further development of forecasting methodologies, models and tools in order to increase forecast accuracy and efficiency.
• Partner with Growth, Membership, and Product Teams to understand the key drivers of volume and incorporate them into the forecasting and planning process.
• Provide consultative support for the leadership team, guiding and advising to develop effective productivity measures, performance management intelligence and resource planning effectiveness.
• Collaborate with a broad range of analytics teams at N26 to utilise shared platforms, insights and innovations.
• Maintain an accurate events log detailing what is included in the forecast and reasons for variance to forecast.

 

What you need to be successful:

• 2+ years of experience working in demand forecasting, resource planning, or directly related field
• Advanced level of ability in applied mathematics, statistics, scenario modelling, demand modelling and analysis
• Expert with Excel or Google Sheets, and ability with SQL, Python, or R is a huge plus
• Experience with business analytics platforms such as Google Looker, Metabase, or similar systems
• Graduated with a degree in Statistics, Mathematics, or other related field of study/relevant level of professional experience

 

Traits:

• Actively help yourself (and others) be successful.
• Continuously learn and challenge the status quo.
• Think globally, act locally.
• Strong bias for action.
• Give and receive open, direct and timely feedback.

  What’s in it for you: Accelerate your career growth by joining one of Europe’s most talked about disruptors 🚀. Employee benefits that range from a competitive personal development budget, work from home budget, discounts to fitness & wellness memberships, language apps and public transportation. As an N26 employee you will have access to a Premium subscription on your personal N26 bank account. As well as subscriptions for friends and family members. Vacation days vary depending on your location of work. Additional day of annual leave for each year of service. A high degree of autonomy and access to cutting edge technologies - all while working with a friendly team of peers of diverse nationalities, life experiences and family statuses. A relocation package with visa support for those who need it.   Who we are N26 has reimagined banking for today’s digital world. Technology and design empower everything we do and it’s how we are building the global banking platform the world loves to use. We've eliminated physical branches, paperwork, and hidden fees for an elegant digital experience and supreme savings. Giving people the power to live and bank their way is what gets us out of bed in the morning and inspires the work that we do. Founded in 2013, N26 now has 7 million customers in 24 markets. We employ more than 1,500 employees across 3 office locations in Berlin, Vienna and Barcelona. Besides the main offices, N26 also has local offices in Paris, Madrid, Milan, and São Paolo. Sound good? Apply now for this position.   N26 is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status or disability status.