Business Planning Manager

What a Business Planning Manager does at HP:

Data Analysis & Insights

• Analyse business performance data to identify trends, risks, and opportunities.

• Develop insights and recommendations to support strategic and operational decisions.

• Structure complex datasets into clear, actionable business narratives.

Analytics, Reporting & AI Enablement

• Develop and maintain analytical frameworks, reports, and insight tools (including AI-driven reporting where applicable).

• Translate data into meaningful insights through a combination of visualisation, modelling, and storytelling.

• Continuously enhance reporting approaches using automation and emerging technologies.

Automation & Efficiency

• Drive automation of data collection, transformation, and reporting processes.

• Develop scalable tools and frameworks to improve productivity and reduce manual work.

• Identify and implement opportunities to leverage AI and analytics to streamline workflows.

Business Partnering

• Collaborate with cross-functional teams (GTM, Finance, Operations, Supply Chain).

• Gather, document, and translate business requirements into analytical solutions.

• Support feasibility analysis and recommend process improvements to enhance business performance.

Individuals who do well in this role at HP, usually possess:

• Bachelor's degree in Business Analytics, Data Science, Business Management, Finance, or related field.

• Strong analytical and problem-solving skills with high attention to detail.

• Proficiency in Microsoft Excel experience with Power BI or similar tools is a plus.

• Familiarity with data analytics, automation, or AI-driven reporting tools is an advantage.

• Strong communication and presentation skills.

• Ability to work effectively in a cross-functional and fast-paced environment.

Key Competencies

• Structured and analytical thinking.

• Strong data interpretation and storytelling capability.

• Curiosity and interest in automation, analytics, and AI applications.

• Attention to detail and data accuracy.

• Stakeholder collaboration and communication.

• Proactive and solution-oriented mindset.

What Success Looks Like

• Actionable insights that influence business decisions and strategy.

• Improved efficiency through automation and smarter analytics solutions.

• Adoption of scalable reporting and AI-enabled tools.

• Strong collaboration with stakeholders across functions.