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Sql, python
1 week ago
Location: Mumbai , Pune , Chandigarh
Key Responsibilities
1. Demand Planning and Forecasting :
Develop and refine short-term and long-term demand forecasts using advanced statistical
methods and machine learning algorithms, ensuring alignment with business objectives.
Analyze historical sales data, market trends, and seasonality to predict future demand
accurately.
Collaborate with sales, marketing, and operations teams to incorporate promotional
activities, product launches, and market shifts into demand forecasts.
Monitor and adjust forecasts based on real-time data and market intelligence to maintain
accuracy and reliability.
2. Revenue and Margin Optimization :
Identify demand patterns and pricing strategies that maximize revenue and profitability
while maintaining optimal inventory levels.
Recommend product mix strategies and stock allocation to align with margin goals and
reduce excess inventory or stockouts.
Collaborate with pricing teams to suggest price adjustments based on demand elasticity,
competitor benchmarking, and revenue targets.
Optimize inventory replenishment cycles to minimize carrying costs and improve cash
flow while meeting customer demand.
3. Scenario Planning and Sensitivity Analysis:
Conduct what-if analyses to evaluate the impact of different demand scenarios on
revenue, margins, and operational costs.
Model the effects of external factors such as market conditions, supply chain disruptions,
and pricing changes on demand.
Support strategic decision-making by simulating outcomes of various promotional,
pricing, or operational initiatives.
4. Insights and Actionable Recommendations:
Analyze demand data to uncover trends, risks, and opportunities, providing actionable
insights to improve key business KPIs.
Develop and present recommendations to optimize product availability, reduce lost sales,
and enhance customer satisfaction.
Identify underperforming SKUs or regions and recommend corrective actions to improve
overall profitability.
5. Collaboration and Alignment Across Teams:
Work closely with supply chain teams to ensure demand forecasts are integrated into
production and procurement plans.
Partner with finance teams to align demand planning with revenue and margin forecasts.
Collaborate with sales and marketing teams to evaluate the effectiveness of campaigns
and promotional activities on demand.
Act as a bridge between analytics and operations teams, ensuring data-driven insights are
actionable and impactful.
6. Reporting and Performance Tracking:
Create and maintain interactive dashboards using Power BI to track demand planning
performance against key KPIs such as forecast accuracy, revenue growth, margin
improvement, and inventory turnover.
Regularly communicate demand planning updates and insights to senior leadership,
providing visibility into risks and opportunities.
Conduct post-mortem analyses on forecast accuracy and demand planning strategies to
identify areas for improvement.
7. Process Improvement and Innovation:
Continuously evaluate and enhance demand planning tools, processes, and methodologies
to improve efficiency and accuracy.
Implement best practices and emerging technologies in demand forecasting and analytics
to stay ahead of industry trends.
Advocate for a data-driven approach within the organization, promoting the adoption of
analytics in demand planning and related functions.
Qualifications and Skills
Must-Have:
Education: Bachelor’s degree in Supply Chain Management, Data Science, Business
Analytics, or related fields. Advanced degrees are a plus.
Experience: Minimum of 6 years in demand planning, supply chain analytics, or related
roles, preferably in retail or e Commerce.
Technical Proficiency :
o Strong expertise in SQL for data extraction and analysis.
o Proficiency in Python for building models and conducting advanced analytics.
o Hands-on experience with Power BI for creating dashboards and visualizations.
Communication Skills:
o Excellent verbal and written communication skills with the ability to translate
data into actionable business recommendations.
o Proven ability to present insights and influence decision-making across diverse
audiences.
Preferred Qualifications:
Experience with advanced demand planning tools or software (e.g., SAP IBP, Kinaxis,
Anaplan).
Knowledge of statistical and machine learning techniques for demand forecasting.
Familiarity with inventory optimization, sales and operations planning (S&OP), or
replenishment strategies.
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