Business Intelligence and Analysis Lead

Syngenta Seeds is one of the world's largest developers and producers of seed for farmers, commercial growers, retailers and small seed companies. Syngenta seeds improve the quality and yields of crops. High-quality seeds ensure better and more productive crops, which is why farmers invest in them. Advanced seeds help mitigate risks such as disease and drought and allow farmers to grow food using less land, less water and fewer inputs.

Syngenta Seeds brings farmers more vigorous, stronger, resistant plants, including innovative hybrid varieties and biotech crops that can thrive even in challenging growing conditions.

Syngenta Seeds is headquartered in the United States.

The Business Intelligence and Analysis Lead (BIAL) is a critical role that combines deep analytical expertise with strategic business acumen. This position is responsible for transforming complex data into actionable insights that drives decision-making leveraging advanced analytics, market intelligence, and industry knowledge to support growth strategies, distribution and operations' optimization, and enhanced competitive positioning.

Accountabilities

1. Strategic Analysis and Planning

• Lead the development of comprehensive market analyses, including market size, share, trends, and growth opportunities for corn and rice seeds
• Conduct scenario planning and forecasting to support both mid to long-term strategic decisions
• Analyze the competitive landscape and provide insights on competitor strategies, pricing, product and positioning, program offering, distribution and people placement
• Collaborate with commercial leadership teams to define key performance indicators (KPIs) aligned with business objectives
• Develop demand forecasting models to support production planning and inventory management
• Derive insights from historical data and market trends to drive precision and accuracy on sales and POG forecasts

2. Data Management and Analytics

• Oversee the collection, integration, and management of data from various sources including sales, marketing, finance, agronomy and P&S
• Develop and maintain robust data models and analytics platforms to support business intelligence needs
• Implement advanced analytics techniques, including predictive modeling and machine learning, to uncover patterns and trends on customer buying behavior
• Ensure data quality, consistency, and integrity across all analytics initiatives
• Ensure compliance with data privacy regulations and company policies in all analytics activities
• Develop and maintain data governance frameworks and best practices

3. Performance Monitoring and Reporting

• Design, produce and maintain regular performance dashboards with insights on key trends, risks, and opportunities
• Conduct in-depth analyses of sales/POG performance vis-à-vis market share/profitability in areas that we operate
• Provide data-driven and insight-based recommendations for performance improvement and course/strategy corrections

4. Customer and Market Insights

• Develop and maintain customer segmentation models to support targeted marketing and sales strategies
• Analyze customer purchasing patterns/behaviors, preferences, and loyalty to inform customer retention and acquisition strategies
• Conduct voice of customer (VOC) analyses to identify unmet needs and opportunities for innovation
• Monitor and analyze emerging trends
• Conduct price elasticity analyses (not limited to NPIs) and support pricing strategies across different market segments

5. Sales and Marketing Effectiveness

• Assess the effectiveness of marketing campaigns and sales initiatives through ROI analysis, working closely with the brand and campaign managers
• Provide data-driven insights to optimize sales territory alignment and resource allocation through RADL
• Analyze the performance of different sales channels and distribution networks
• Support the development of data-driven customer engagement strategies

6. Innovation and Digital Transformation

• Lead the adoption of new digital tools and technologies to enhance commercial planning and business intelligence capabilities
• Explore and implement data visualization techniques to improve data presentation and articulation
• Stay abreast of emerging trends in data science, artificial intelligence, and their applications

• Bachelor's degree in Agribusiness, Marketing, Business Administration, or a related field.
• 8+ years of experience in business intelligence, business planning, data analytics, or related roles
• Strong background in the agriculture industry, with specific knowledge of the seeds business preferred.
• Strong business acumen and ability to translate complex analyses into actionable business recommendations
• Expertise in data analysis tools and languages and business intelligence platforms (e.g. Power BI, Qlik, Tableau, SAS, the like)
• Excellent understanding of data architecture, data modeling, and database management
• Exceptional communication and presentation skills, with the ability to convey technical concepts to non-technical audiences
• Proven track record of leading cross-functional projects and influencing senior stakeholders
• Experience with agile methodologies and data-driven decision-making processes

Preferred:

• Experience working with senior leadership and exposure to different stakeholders (both and region and global)
• Master's degree in Business Analytics, Data Science, Agricultural Economics, or related field
• MBA with a quantitative focus
• Advanced skills in statistical analysis, predictive modeling, and machine learning techniques
• Knowledge of hybrid seed technology, agronomy, commodities, networks and how it impacts the business and industry

In Syngenta we recognize that diversity and inclusion is important to our business.  We embrace the unique perspective and capabilities of our employees, which will help us continue to drive innovation and achieve our business goals. Our culture enables us to create an environment of involvement, respect and connection with the communities where we operate - benefitting individual employees and the company.