Business Intelligence Analyst at PPS

Purpose of the job:

• Leverage deep industry understanding and in-depth business analysis to provide clear direction to the organisation through trusted, well-interpreted data insights.
• The Business Intelligence Analyst focuses on identifying gaps, interpreting complex and imperfect data, and translating analysis into meaningful insights that inform executive decision-making. This role plays a critical enablement function within the BI team by supporting Data Analysts and partnering with IT, while ensuring that BI outputs reflect how the industry and business operate in practice.

Minimum Requirements    
Ideal experience:

• Minimum 4–6 years’ experience in a Business Intelligence, Analytics, or Insight-focused role.
• Strong industry domain familiarity, with demonstrated ability to interpret business data in line with how the industry and market operate.
• Exposure to working in complex or data-imperfect environments is advantageous.

Ideal qualifications:

• Bachelor’sor Honour’s qualification within the following disciplines or areas of specialisation: Investments, Economics, Data Science, Business Science, or related. 

Competencies and ideal personality attributes:

• Strong analytical and critical thinker
• Able to apply judgement where data is ambiguous or incomplete
• Business- and outcome-focused
• Confident communicator with the ability to explain complex insights simply
• Detail-oriented with a strong appreciation for data integrity
• Collaborative, supportive, and comfortable enabling others

Systems knowledge:

• MS Office with advanced MS Excel
• Experience with Power Bi and data visualization tools
• Working understanding of SQL sufficient to interpret and validate data outputs (advanced SQL not required)
• Familiarity with data models and structured datasets
• Exposure to automation, Python, or AI-enabled analytics is advantageous but not essential

Duties and Responsibilities    
In-Depth Business Analysis & Insight Generation

• Conduct in-depth analysis to identify business performance gaps, trends, and opportunities.
• Translate ambiguous business questions into clear analytical problem statements aligned to decision-
• Deliver insights that provide direction and context, not just descriptive outcomes.

Industry-Driven Data Interpretation & Categorisation

• Apply your industry understanding to interpret, clean, and categorise data where raw system data is insufficient.
• Define and maintain categorisation logic that reflects how the business and market operate in practice.
• Ensure consistency and transparency of assumptions and classifications across BI outputs.

Analytical Specification & Quality Assurance

• Define analytical specifications, including required metrics, assumptions, and validation criteria.
• Guide Data Analysts and IT teams on analytical intent prior to development or productionisation.
• Act as a quality checkpoint to ensure analysis is robust, accurate, and fit for executive use.

Collaboration & Enablement

• Support and enable Data Analysts in progressing toward deeper analytical work through coaching and pairing.
• Collaborate with IT and SQL developers to ensure analytical logic is correctly implemented and validated.
• Partner with Data Analysts during data testing and validation before insights are released to the business.

Insight Communication & Continuous Improvement

• Support effective presentation of insights through clear narratives and appropriate visualisation.
• Contribute to improving BI processes, analytical approaches, and consistency of insight delivery.
• Identify opportunities to use automation or emerging tools to enhance analytical effectiveness and efficiency

Deadline:13th February,2026