This role is for one of the Weekday's clients
Key Responsibilities
- Forecasting Leadership: Lead critical T-cycle forecasting projects, ensuring timely and accurate delivery for MTO and T0/BP25 cycles.
- Automation & Reporting: Automate performance reporting systems to enhance operational efficiency, and handle ad-hoc analytical projects to support business needs.
- Demand Forecasting: Develop transparent demand forecasts with thoroughly documented assumptions, confidence levels, and sensitivity analyses. Present and defend methodologies and outputs to senior leadership.
- Modeling Excellence: Ensure objectivity and accuracy in forecasts using industry-leading modeling approaches and by integrating primary and secondary data sources.
- Collaboration: Work closely with Group Managers and Directors to align forecasts with business needs, priorities, and the immediate scope of work.
- Product Forecasts: Develop short- and long-term forecasts for new product introductions, incorporating market dynamics, competitive actions, and new promotional tactics.
- Data-Driven Improvement: Continuously enhance forecasting capabilities by leveraging advanced methods, AI/ML techniques, and diverse data sets.
- Market Insights: Maintain tools and resources with up-to-date market information to refine forecasts, and effectively communicate the potential impact of competitor activities and promotional efforts.
- S&OP Engagement: Participate in monthly Sales & Operations Planning (S&OP) for the US market, submitting volume data and developing relevant periodic models and conversions.
- Cross-Functional Collaboration: Engage cross-functional teams to develop effective solutions, align forecasts, and generate impactful business insights. Drive decision-making through well-structured and balanced recommendations.
- Mentorship & Advocacy: Serve as a thought partner and advisor, sharing insights, coaching peers, and identifying opportunities for continuous improvement.
Basic Qualifications
- Bachelor's degree in Business, Data Science, or a related field.
- Minimum of 3 years of experience in forecasting roles within the pharmaceutical or FMCG industries.
- Proficiency in Excel, SQL, and financial modeling.
- Familiarity with key pharmaceutical data sources, such as secondary or subnational sales data and claims.
- Demonstrated experience integrating primary and secondary data into forecasts.
- Strong problem-solving, communication, and collaboration skills.
Preferred Qualifications
- Advanced degree (MBA, Master's) is advantageous.
- Expertise in AI/ML-based forecasting and automation tools.
- Experience with US market forecasting, including the evaluation of promotional and competitor impacts.
- Familiarity with forecasting tools for FF (Forecasting & Forecasting Support) and S&OP processes.
- Knowledge of inventory reconciliation and demand/supply planning.
Technical Skills
- Proficiency in forecasting tools and methodologies, such as Python, R, or Tableau.
- Knowledge of advanced statistical methods, sensitivity analyses, and AI/ML applications.
- Integration experience with pharmaceutical data tools (e.g., SnapView, EAD).
- Hands-on experience with performance review tools for ecosystem evaluation.
Ideal Soft Skills
- Strong analytical mindset with attention to detail.
- Ability to collaborate cross-functionally and communicate effectively.
- Adaptability and responsiveness to evolving business needs.
- Effective time management, prioritization, and project execution skills.
- Proactive attitude towards continuous learning and improvement, with a focus on delivering maximum business value.
Skills: modeling,collaboration,tableau,inventory reconciliation,statistical methods,sql,forecasting,demand forecasting,financial modeling,data-driven improvement,python,sales & operations planning (s&op),ai/ml techniques,mentorship,pharmaceutical data sources,automation,market insights,product forecasting,reporting,r,demand/supply planning,excel,data
