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Business Analytics Manager

2 months ago

Madison Heights, United States ND Defense Full time

ND Defense - Protecting freedom and those who defend it


ND Defense has a long legacy of providing tactical wheeled vehicles to the US government and our allies, and we are now adding commercial manufacturing to our lines of business. We are seeking an Business Analytics Manager for our Michigan Headquarters in Madison Heights. This person will serve as a strategic partner to the CEO by reviewing departmental KPI's, evaluating operational effectiveness, and proposing business process improvements. Will interpret complex data to support decision-making, utilizing financial and strategic modeling and tools such as, BI, AI/ML, and SQL . Lean Six Sigma Green or Black Belt certification preferred.


This position currently requires 3 days in office, and the company reserves the right to change the on-site requirement based on company need. 15% Bonus Potential.


Job Description:

The Business Analytics Manager serves as a strategic partner to the CEO, meticulously reviewing departmental KPIs to identify strengths and weaknesses, evaluate operational effectiveness, and propose business process improvements. The role demands innovative problem-solving to overcome operational barriers, designing and implementing methods to track and measure organizational performance for strategic planning, and conducting due diligence for M&A activities, preparing compelling business cases. This role demands a highly skilled professional with a strategic mindset, exceptional analytical capabilities, and the ability to drive significant business improvements in a manufacturing environment.


Responsibilities:

  • Leverage advanced data analysis techniques to derive insights that inform strategic business decisions and drive key initiatives.
  • Lead and execute high-impact, cross-functional initiatives to enhance organizational performance.
  • Conduct deep dives into data, processes, and user experiences to uncover critical insights, translating them into actionable strategies.
  • Collaborate with cross-functional teams to design and implement solutions that meet business needs and deliver value.
  • Act as a trusted advisor to the CEO and executive team, offering independent perspectives and strategic recommendations.
  • Collect, model, analyze, and interpret complex datasets to identify trends and patterns, providing operational analyses and recommendations to senior management. Deliver reports, dashboards, and ad-hoc business models.
  • Prepare Board presentations and perform additional duties as assigned by leadership.
  • Partner with leadership across all departments to investigate trends, uncover data anomalies, and identify growth opportunities.
  • Drive data-driven analysis to pinpoint areas for improvement and prioritize strategic opportunities.
  • Structure complex problems into manageable projects, charting a clear path forward and enabling teams to achieve strategic objectives.
  • Develop, implement, and oversee analytical and operational projects, identifying opportunities for process refinement and operational efficiency.
  • Conduct thorough due diligence for potential M&A activities and present business cases to executive leaders.

Qualifications:

  • Bachelor’s degree in Engineering, Mathematics, Business Analytics, or a related field; Master’s degree or MBA preferred.
  • 7-10 years of relevant work experience, including at least 3 years in a data-driven analytical role, with a strong grasp of data analysis techniques and methodologies.
  • Proven experience in operational design, process improvements, governance, technology assessments, and execution.
  • Exceptional analytical and problem-solving skills, with the ability to deconstruct complex business problems into manageable components.
  • Strong, independent voice to challenge and influence team thinking, while building trust-based relationships across the organization.
  • High-energy, team-oriented attitude with a strong work ethic and motivation to excel in a fast-paced environment.
  • Excellent communication skills, both written and verbal, for effective interaction with senior leadership.
  • Strong listening skills with the ability to understand the rationale behind decisions quickly.
  • Proficiency in interpreting complex data and presenting clear findings to support decision-making, with experience in financial and strategic modeling, BI, AI/ML tools, and SQL being advantageous. Lean Six Sigma Green or Black Belt certification preferred.
  • In-depth experience conducting process analysis and optimization.
  • PMP and CQM/OE certification strongly desired.
  • US Person
  • Preferred: Proficiency in advanced data analytics and statistical tools such as R, Python, or SAS.
  • Preferred: Experience with enterprise resource planning (ERP) systems like SAP or Oracle.
  • Preferred: Familiarity with agile methodologies and tools for project management and process improvement.