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The role plays a critical part in ensuring data integrity across commercial reporting systems and enabling leadership to make informed strategic decisions for Al Borg Diagnostics’ laboratory services. It is responsible for analyzing commercial and sales performance data, tracking key KPIs, and delivering accurate, timely, and actionable insights that support revenue growth, operational efficiency, and customer acquisition across B2B, B2C, and Homecare segments.

The role also strengthens revenue visibility, enhances performance management, and enables data-driven decision-making across all commercial channels.

Responsibilities

1. Revenue Intelligence

· Build and maintain weekly visibility on revenue across B2B, B2C, and Homecare

· Analyze performance by branch, product, and channel

· Identify key revenue drivers, trends, and revenue leakages

2. B2C Performance Analytics

· Track revenue per patient, conversion rates, and package mix

· Analyze add-on attachment rates and pricing effectiveness

· Identify opportunities to increase basket size and margin

3. B2B & Client Analytics

· Monitor pipeline performance and conversion rates

· Analyze client-level revenue and growth opportunities

· Support retention and expansion strategies

4. Marketing & Demand Analytics

· Track cost per lead (CPL), cost per acquisition (CPA), and funnel conversion rates

· Evaluate marketing campaign performance and ROI

· Support data-driven marketing and demand generation decisions

5. Demand Reallocation & Transformation Tracking

· Monitor patient flow, migration patterns, and revenue retention

· Track performance impact during network optimization and transformation initiatives

· Provide real-time insights and recommendations to leadership

Key Deliverables

· Weekly commercial performance dashboard

· Clear insights on revenue risks and opportunities

· Actionable recommendations to improve performance

· Full visibility across commercial operations

Requirements

· Strong skills in Excel, SQL, and Power BI (or similar tools)

· Proven ability to translate data into business insights and actions

· Experience in healthcare, retail, or service industries is a plus

· Strong analytical thinking combined with business acumen

· Ability to work directly with senior leadership

Qualifications

Bachelor’s degree in Business Administration, Finance, Economics, Statistics, Data Analytics, or related field.

3–6 years of experience in data analysis, preferably in commercial or revenue-focused roles.