Job Openings Manager, Business Intelligence Center (PM Transformation)

About the job Manager, Business Intelligence Center (PM Transformation)

Core Responsibilities:

We are seeking an experienced and dynamic Transformation Manager to lead and manage strategic initiatives within our organization. This role requires a strong background in Power BI development and financial/business analytics, with a preference for candidates with experience in the retail or FMCG industry. The successful candidate will be responsible for driving transformation projects, enhancing financial performance, and supporting enterprise value creation.

Key Responsibilities:

  1. Transformation Project Management:
    • Lead transformation initiatives, conduct framework, collaborating with stakeholders across the organization to ensure timely and effective execution of plans.
    • Always bring in insights from external sources which can be beneficial to the business
    • Convert insights into actionable business recommendations and drive cross-functional execution.
    • Identify risks and opportunities to refine format strategies, leveraging both internal and external information.
    • Ensure strong project management practices are in place, utilizing an agile approach to achieve project goals.
  2. Financial Performance Analysis and Enterprise Value Enhancement:
    • Conduct comprehensive financial analyses to identify performance gaps, trends, and opportunities for improvement.
    • Develop and implement strategies to enhance profitability, optimize resource allocation, and manage financial risks.
    • Evaluate financial drivers of enterprise value, including revenue growth, cost optimization, and profit improvement.
    • Collaborate closely with internal finance teams to align with business goals and objectives, providing insights and recommendations to support decision-making.
  3. Power BI Development and Financial Modeling:
    • Lead the development and utilization of sophisticated financial models using Power BI to forecast financial performance, evaluate investment opportunities, and assess risks.
    • Leverage data analytics techniques to extract meaningful insights from data, informing strategic decision-making.
    • Communicate results and recommendations effectively to stakeholders, ensuring data-driven decisions are made at all levels of the organization.