Senior Manager Analytics

Key Responsibilities:

• Leadership & Team Management:
• Lead, mentor, and develop a high-performing analytics team, fostering a collaborative and results-driven environment.
• Set clear objectives and performance metrics for the team, and oversee their professional development.
• Analytics Strategy & Execution:
• Develop and implement a comprehensive analytics strategy aligned with company goals and objectives.
• Oversee the design and execution of complex analyses, predictive modeling, and statistical analysis to support business decision-making.
• Data-Driven Decision Making:
• Partner with cross-functional teams, including Operations, Supply Chain, and Finance, to identify key business challenges and opportunities.
• Provide actionable insights and recommendations based on data analysis to improve operational efficiency, optimize production processes, and drive strategic initiatives.
• Reporting & Communication:
• Prepare and present regular reports and presentations to senior management, highlighting key findings, trends, and recommendations.
• Translate complex analytical results into clear, actionable insights for non-technical stakeholders.
• Technology & Tools:
• Evaluate and implement advanced analytics tools and technologies to enhance data capabilities and reporting.
• Ensure data integrity, accuracy, and security across all analytics processes.
• Continuous Improvement:
• Drive continuous improvement initiatives by leveraging data to identify inefficiencies and opportunities for optimization.
• Stay abreast of industry trends and best practices in analytics and manufacturing to ensure the company remains at the forefront of innovation.

Qualifications:

• Education: Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field. Master's degree or MBA is preferred.
• Experience: Minimum of 7-10 years of experience in analytics, with at least 3-5 years in a managerial role within a manufacturing or industrial environment.
• Skills:
• Proven experience with data analysis, statistical modeling, and predictive analytics.
• Proficiency in analytics tools and software such as SQL, Python, R, Tableau, or Power BI.
• Strong understanding of manufacturing processes, supply chain management, and operational metrics.
• Excellent leadership, communication, and presentation skills.
• Ability to manage multiple projects and priorities in a fast-paced environment.
• Attributes:
• Strategic thinker with a strong problem-solving mindset.
• Detail-oriented with a commitment to data accuracy and quality.
• Collaborative team player with a proactive approach to driving results.