Ramzi Meraghni

• Applied a data-driven, hypothesis-led analytical approach to commercial/ops teams, performing descriptive, exploratory, and quantitative analysis (SQL/Python) to address complex behaviour and performance questions, identifying actionable opportunities.
• Built the end-to-end analytics foundations for Account Managers and Specialists: designed data models and pipelines (dbt), implemented reporting layers, and delivered self-serve dashboards in Lightdash / Looker / Superset used across the organisation.
• Defined and operationalised key KPIs, metrics frameworks, and health scorecards for performance management, improving clarity of decision-making and accountability across teams.
• Facilitated a monthly business review with senior leadership to monitor team health, progress, and risks; crafted a consistent narrative integrating metrics, drivers, and recommended actions to guide decision-making.
• Led deeper analytical work to unlock action: built cohort analyses, segmented performance diagnostics, and created test vs control group designs to measure initiative impact and guide prioritisation.
• Implemented alerting and automated workflows using Python to streamline operational processes, reduce manual work, and improve responsiveness to emerging issues.
• Partnered closely with Operations to standardise frontline inputs (AM/specialist activity and outcomes), improving data quality and enabling more accurate, consistent reporting.
• Drove tooling and systems improvements by introducing a new AI-enabled view/tooling layer, modernising how stakeholders explore insights and reducing time-to-answer for common questions.

Acted as a connector across Product, Business Operations, and team leads, translating business needs into measurable analytics requirements and turning findings into concrete interventions.

• Supported 4 cross-functional teams and ~150 daily users across London, Budapest, Tallinn, São Paulo, Singapore, and the US, with dashboards used weekly by all key stakeholders to drive operational decisions.
• Partnered closely with Product Managers and Engineers to deliver significant product and tooling changes, translating operational needs into analytics requirements and measurable outcomes.
• Conducted side-by-side workflow analysis with frontline teams to quantify manual effort; reduced manual work by 3+ hours per day through automation, improved tooling, and streamlined reporting processes.
• Defined data SLAs across contributing data teams to ensure consistently up-to-date, reliable reporting, improving trust and decision cadence.
• Analysed and reported on revenue impact and performance lift across initiatives, utilising a suite of metrics to track outcomes and reinforce accountability.
• Served as the primary analytics point of contact for the function and collaborated with third-party vendors (e.g., Salesforce) to enable reporting improvements and system changes end-to-end.

• Closed over £5 million in sales, demonstrating proficiency in deal execution and negotiation.
• Collaborated with partners and counterparties to achieve 40% increase in project success rate.
• Providing consultancy in the transactions of real estate assets in the UK's new build market for investors and homebuyers.
• Utilised Microsoft Excel to build financial models and presented information concisely to clients using PowerPoint.
• Worked on multiple projects simultaneously, setting priorities, and consistently delivering over 85% of projects on time.