The Director of Business Analytics leads a team responsible for designing, creating and implementing the hardware and software systems and architecture to identify trends, develop metrics and make recommendations to the organization related to business process performance.
In addition, this team will bring large amounts of data and digital knowledge together to deliver insightful reporting and meaningful metrics to various departments and functional areas.
The Director of Business Analytics is a data driven role that takes an analytically rigorous approach to establishing actionable intelligence for the Operations, Program Management and Engineering teams.
The primary mission of this role is to behave and act as a data scientist and analyze data using statistical methods, machine learning, and analytics techniques to solve complex problems, discover meaningful insights and identify business improvement opportunities.
Ideal Candidate & Qualifications
Provides technical reporting of manufacturing yields, statistical trends and data analysis for various functional areas of the business.
Works closely with management teams to support business strategy through insights derived from analytics and reporting.
Primary process owner for building, validating and automating new metrics, dashboards and reports.
Takes ownership for designing and building incisive and meaningful business monitoring measures used to maintain/improve overall business performance and profitability.
Monitors and reports on manufacturing and quality trends (first pass yield, rolled throughput yield, various industrial engineering metrics, etc.) and transforms insights into improvement recommendations.
Identifies performance trends and recommends initiatives to address weaknesses and leverage opportunities.
Foster thought leadership by keeping up-to-date of industry best practices.
Recommend strategies leveraging an analytical approach to deliver objectives and achieve results.
Develop dashboards, provide transparency of results (e.g.; daily monitoring) and communicate effectively to all departments and stakeholders.
Execute deep dive analytics for areas within the dashboard or daily results relative to plan, forecast or targets to support quality, delivery, cost and productivity.
Support the story-telling to ensure insights are delivered in a meaningful and relevant manner to business partners.
Constantly seek out better ways to do things: new tools, new technologies, and new processes.
Masters degree or higher in Statistics, Data Science or Industrial Engineering.
5+ years of relevant progressive analytics experience, preferably within the aerospace/defense/manufacturing industry.
Experience in business intelligence and data analytics and mining.
Advanced analytical and problem solving skills.
Deep data mining and technical skills and experience translating data into consumable messages.
Strong knowledge of design, development, and implementation experience utilizing data science technologies.
Proven experience in analytical database architecture, business analytics, big data or related analytics roles.
Superior and proven experience in the application of experimental design and statistical analysis of results coupled with strong understanding of technical skills in data software such as SQL.
Excellent interpersonal and interaction skills to include communications, presentation and conflict resolution.
Demonstrated/proven ability to drive change and continuously improve existing processes.