1. Experience: Applicant should have at least Five (5) Years Experience in development, execution, and continuous refinement of the Business data analytics capabilities, corporate performance reporting systems, business intelligence infrastructure, and data governance frameworks in a reputable Organization preferably in manufacturing.
   
2. Continuous Professional Development: Certificates in at least Two (2) relevant fields (e.g., Project Management Professional - PMP, Business Intelligence, Data Analytics, Business Strategy, or equivalent certifications).
   
3. Professional Membership: Affiliate or Associate Membership to a Relevant Professional Body (Institute of Analytics (IoA), Royal Statistical Society (RSS), Alliance for Data Science Professionals, ISDSA, IABAC, DAA, or equivalent) and in Good Standing.
   

1) Functional Responsibilities

(2) Social Responsibilities

The Senior Data Analyst serves as a collaborative and technically credible data and analytics partner, fostering a data-driven culture, building cross-functional data literacy, and contributing to the Corporation’s institutional capacity for evidence-based decision-making.

2.1 Data Literacy and Capacity Building: Serve as a trusted data analytics resource to departmental managers and officers, providing training, guidance, and hands-on support to build data literacy, improve data collection practices, and enhance the quality of departmental reporting across the Corporation.

2.2 Cross-Functional Collaboration: Proactively build and maintain strong working relationships with data owners and reporting focal points across all departments, championing a culture of data accuracy, transparency, and shared accountability for the Corporation’s performance reporting quality.

(3) Emotional Responsibilities:

The role demands attention to detail, technical precision, professional composure, and a deep commitment to data integrity and accuracy, particularly when managing large and complex datasets, operating under tight reporting deadlines, and supporting high-stakes executive and Board-level reporting.

3.1 Analytical Precision and Attention to Detail: Maintain an unwavering commitment to data accuracy, thoroughness, and analytical excellence in all datasets, dashboards, and reports, recognizing that the Corporation’s performance assessments, Board deliberations, stakeholder confidence, and regulatory compliance depend directly on the quality and integrity of the data produced.

3.2 Composure Under Pressure: Demonstrate professional composure, clarity of thought, and effective time management when operating under demanding deadlines particularly during integrated reporting cycles, Board reporting periods, Financier submission timelines, and urgent ad-hoc data requests ensuring consistent output quality without compromising data integrity.