Director of Analytics

Job Summary:

The Director of Analytics is responsible for leading data-driven decision-making processes across the organization. This role will oversee data management, business intelligence, and performance analytics to drive operational efficiency, improve manufacturing processes, and enhance strategic decision-making. The ideal candidate will have extensive experience in data analytics, business intelligence tools, and data governance within a manufacturing environment.

Key Responsibilities:

• Develop and implement a company-wide analytics strategy to optimize operations, supply chain, and financial performance.
• Lead a team of data analysts and business intelligence professionals to ensure high-quality data analysis and reporting.
• Oversee the collection, storage, and interpretation of data to identify trends, inefficiencies, and opportunities for improvement.
• Collaborate with leadership across departments - including production, supply chain, finance, and sales - to align analytics initiatives with business objectives.
• Establish and maintain data governance frameworks to ensure data integrity, security, and compliance with industry regulations.
• Implement and manage business intelligence tools and dashboards to enhance real-time decision-making.
• Develop predictive and prescriptive analytics models to anticipate challenges and recommend data-driven solutions.
• Monitor key performance indicators (KPIs) and provide regular insights to executive leadership to drive business performance.
• Partner with IT teams to optimize data infrastructure, integration, and automation efforts.
• Stay current with industry trends and advancements in analytics, AI, and machine learning to continuously improve the company’s data capabilities.

Qualifications & Skills:

• Bachelor’s degree in Data Science, Business Analytics, Statistics, Engineering, or a related field (Master’s degree preferred).
• 7+ years of experience in data analytics, business intelligence, or a related field, preferably within manufacturing.
• Proven leadership experience in managing analytics teams and cross-functional collaboration.
• Strong proficiency in data visualization and business intelligence tools such as Tableau, Power BI, or Looker.
• Advanced knowledge of SQL, Python, R, or other data analysis languages.
• Experience with ERP systems, data warehousing, and cloud-based analytics solutions.
• Strong understanding of manufacturing operations, supply chain analytics, and process optimization.
• Excellent problem-solving skills with a data-driven approach to decision-making.
• Ability to communicate complex data insights to non-technical stakeholders.