Description
At Starling, we are on a mission to provide people with a fairer, smarter, and more human alternative to traditional banks. We are building a leading digital bank, driven by fast technology, fair service, and honest values.
Our five core values – Listen, Keep It Simple, Do The Right Thing, Own It, and Aim for Greatness – are at the heart of everything we do, guiding our strategy and shaping our culture. We're a branchless, largely paperless bank, committed to responsible banking, sustainability, and fostering an inclusive environment where everyone can thrive.
The Mid Term Planning and Forecasting Analyst will be responsible for developing and maintaining resource plans and forecasts across Operations, focused on a long term view. This role will ensure that the organisation has the right plans to enable decision making to meet current and future business needs.
Key responsibilities include:
- Converting long term forecasts into mid term resource plans that take account of intraday and intra month profiles and emerging trends.
- Continuously monitoring actual versus forecasted volumes, to understand trends and ensure appropriate recommendations for future forecasts.
- Maintaining a robust supply plan, monitoring impacts on capacity and making recommendations which improve capacity and demand alignment.
- Ensuring forecasts are updated within the workforce management system.
- Providing adhoc impact assessments for emerging activities.
- Working closely with the wider planning team to ensure plans are effectively handed off for execution and key metrics are aligned.
Requirements include:
- Excellent communication skills with the ability to present planning outputs to a range of stakeholders to gain buy-in.
- Ability to balance workload and prioritise effectively.
- Ability to build strong relationships with Change, Marketing & Finance teams.
- Continuous improvement mindset, driving your own personal development.
Essential skills and experience include:
- Strong analytical skills, attention to detail, and problem-solving skills.
- Excellent understanding of demand planning methodologies and demand drivers.
- Strong data fluency and ability to work with data science and MI teams to shape new datasets.