Statistical Forecasting Expert
4 weeks ago
Job Reference Number: 314133
Position: Business Forecasting Specialist
Compensation: Competitive salary
Car Allowance: £4,200 or £3,700 cash equivalent
Healthcare: Comprehensive family healthcare coverage
Annual Bonus: Potential of 18%
Leave: Generous annual leave of 27.5 days, increasing with tenure
This position offers flexibility in location, with a requirement to visit the office periodically.
We are seeking two individuals to join our growing Economics and Statistical Forecasting team at Royal Mail Group. This is an opportunity to contribute to our innovative approach in adapting to the evolving parcel delivery market while ensuring environmental responsibility.
Role Overview:
As a Business Forecasting Specialist, you will report to the Head of Statistical Forecasting and play a pivotal role in leveraging data and analytics to enhance business forecasting and data science methodologies. Your contributions will facilitate data-driven decision-making, delivering value to our customers, employees, and stakeholders.
Key Responsibilities:
• Deliver short- and medium-term operational forecasts aligned with the team's forecast calendar.
• Maintain and enhance the forecasting model suite, ensuring accuracy and quality of forecasts.
• Conduct statistical analyses of historical data to inform forecasts for various scenarios.
• Monitor forecast accuracy and identify key drivers of variance.
• Collaborate with key stakeholders to foster trust and promote the adoption of forecasts.
• Develop tools for forecast access, visualization, and analysis to meet business needs.
• Implement improvements to forecasting models and techniques to enhance accuracy.
Candidate Profile:
To excel in this role, you should possess the following qualifications and skills:
• Proven experience in modeling or forecasting complex operations.
• Strong analytical, numerical, and statistical skills.
• Proficiency in programming languages such as Python, SQL, GCP, or R.
• Ability to communicate complex statistical concepts to non-experts effectively.
• Attention to detail with a capability to derive high-level, data-driven insights.
• A degree (BSc or MSc) in a quantitative discipline with significant exposure to statistical modeling and data science.
Additional Benefits:
• Participation in RMG Share Schemes
• Family-friendly policies including enhanced parental leave
• Access to discounts and offers on various services
• Generous company sick pay
• Comprehensive wellbeing support services
• Lifestyle benefits including options for purchasing vehicles and technology
• Financial support services for debt management and financial education
• Healthcare and insurance benefits
• Free postal services during festive seasons
Your Career Development:
At Royal Mail Group, we value our employees and strive to create a workplace where everyone can thrive. We are committed to fostering a diverse and inclusive environment that reflects the communities we serve.
We encourage candidates from all backgrounds to apply, and we are happy to provide support for any adjustments needed during the application process.
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