Data Analyst (Engineering Resource Management)

Role overview

Scope and scale

Resource management

• Maintain the resource allocation database and dedicated resource management tool.
• Track engineer skills, availability, project assignments, and planned capacity with high accuracy.
• Develop data validation procedures and automated integrity checks.

Planning and forecasting

• Model resource allocation scenarios to assess new project feasibility and roadmap priorities.
• Analyze utilization, capacity gaps, bottlenecks, and constraints by skill set.
• Produce six- to twelve-month capacity forecasts for staffing and recruitment planning.

Analysis and reporting

• Extract, transform, and analyze complex resource data from multiple sources.
• Create dashboards and automated reporting for stakeholder visibility.
• Produce reports on resource utilization, project allocation, and KPIs.

Cost and improvement

• Support project cost estimation and cost-benefit analysis for make-versus-buy and outsourcing decisions.
• Improve resource tracking and analysis processes and recommend enhancements to management tools and systems.

Stakeholder collaboration

• Work with R&D managers, programme and design controllers, and leadership to understand planning needs.
• Present findings and recommendations to senior management through clear data storytelling.
• Collaborate with Finance and HR on resource budgets and headcount planning.

Qualifications

• 4-7 years of experience in data analysis, business analytics, resource planning, or related quantitative roles.
• Advanced Excel proficiency, experience with BI tools, intermediate SQL, and Python or R for analysis.
• Strong analytical, communication, interpersonal, problem-solving, and data integrity skills.

Performance measures