Data Scientist (1-2 Yrs) for Beverage Industry Leader

Role Summary: We are seeking a motivated Data Scientist with 1-2 years of experience to join our dynamic team in Chandigarh. This role is ideal for individuals with a strong business acumen, analytical skills, and a foundational understanding of data science principles, looking to apply their BBA/BBM knowledge in a practical industry setting. You will contribute to data-driven decision-making across various business functions within India's leading beverage company. Key Responsibilities: - Analyze sales data, consumer trends, and market performance to identify business opportunities and challenges. - Develop and maintain dashboards and reports to track key performance indicators (KPIs) for marketing, sales, and operations. - Collaborate with cross-functional teams (Marketing, Sales, Operations) to understand their data needs and provide actionable insights. - Perform data cleaning, transformation, and preparation for analysis. - Assist in building predictive models for demand forecasting and inventory management. - Contribute to A/B testing design and analysis for marketing campaigns. - Communicate findings and recommendations clearly to stakeholders through presentations and reports. - Stay updated with industry trends and new analytical techniques. Role Summary: We are seeking a motivated Data Scientist with 1-2 years of experience to join our dynamic team in Chandigarh. This role is ideal for individuals with a strong business acumen, analytical skills, and a foundational understanding of data science principles, looking to apply their BBA/BBM knowledge in a practical industry setting. You will contribute to data-driven decision-making across various business functions within India's leading beverage company. Key Responsibilities: - Analyze sales data, consumer trends, and market performance to identify business opportunities and challenges. - Develop and maintain dashboards and reports to track key performance indicators (KPIs) for marketing, sales, and operations. - Collaborate with cross-functional teams (Marketing, Sales, Operations) to understand their data needs and provide actionable insights. - Perform data cleaning, transformation, and preparation for analysis. - Assist in building predictive models for demand forecasting and inventory management. - Contribute to A/B testing design and analysis for marketing campaigns. - Communicate findings and recommendations clearly to stakeholders through presentations and reports. - Stay updated with industry trends and new analytical techniques.