Manager - Planning & Analytics (Contract)

Role Summary

Key Responsibilities

• **Team Leadership & People Management:**
• Lead, mentor, and develop a team of analytics specialists.
• Foster a collaborative, high-performance culture and manage team workload and project allocation.
• **Analytics Strategy & Stakeholder Management:**
• Partner with senior business leaders to understand strategic objectives and define the analytics roadmap.
• Translate high-level business challenges into a portfolio of analytical projects that deliver measurable value.
• **Hands-On Technical Leadership:**
• Remain deeply hands-on with data.
• Personally undertake complex analysis, model development, and dashboard creation, particularly for high-priority initiatives, setting the technical standard for the team.
• **Project & Resource Management:**
• Oversee the end-to-end delivery of the analytics portfolio.
• Scope projects, estimate effort, manage timelines, and ensure the team delivers high-quality solutions on time.
• **Data Governance & Best Practices:**
• Establish and enforce best practices for data analysis, model validation, and data governance within the team.
• Champion data quality and reliability initiatives across the organization.
• **Innovation & Continuous Improvement:**
• Stay abreast of industry trends and emerging technologies.
• Drive innovation within the analytics function by identifying and implementing new tools, methodologies, and process improvements.
• **Cross-Functional Collaboration:**
• Act as the key liaison between the analytics team, data engineering, IT, and global business units, ensuring alignment and effective prioritization.

Experience & Qualifications

• Bachelor’s or Master’s degree in Data Science, Statistics, Engineering, Business, or a related quantitative field. An MBA is a plus.
• 7+ years of progressive experience in data analytics, with at least 2+ years in a
• team lead or management capacity
• .
• **Essential**
• background in
• manufacturing, aerospace, defence, or a complex engineering environment
• , with a deep understanding of product data structures and production workflows.
• Demonstrated ability to be both a strategic leader and a hands-on contributor, with proven expertise in:
• Advanced analytics languages (SQL, Python, R).
• Data visualization and BI platforms (Power BI, Tableau).
• Statistical modeling and predictive analytics.
• Strong project and people management skills, with a track record of successfully delivering analytics projects through a team.
• Exceptional communication and stakeholder management skills, capable of engaging with both technical teams and executive leadership.
• Proven experience working in and managing within a global, diverse environment.