Cape Town, Western Cape, South Africa
I architect data systems that drive growth at scale. Currently a Staff Analytics Engineer at Kit , I combine deep technical expertise in the modern data stack with a proven track record in team management and operations. With an Executive MBA and degrees in Data Science, Law and Biotechnology, I bridge the gap between complex engineering and executive decision-making.
Partnered with Sales and Marketing teams to build the data infrastructure that powered go-to-market decision making across GitLab's global revenue organization. - Translating business requirements into scalable data systems supporting sales pipeline analysis, revenue forecasting, and marketing attribution - Serving as technical subject matter expert on GitLab's Enterprise Data Model for GTM analytics, ensuring operations teams have accurate, accessible data for business decisions Technical Implementation: - Led comprehensive redesign of Salesforce opportunity data model lineage, improving data quality and enabling more accurate sales pipeline reporting and revenue forecasting - Implemented sophisticated anomaly detection model for user data, ensuring reporting accuracy for executive-level decisions - Collaborated with operations and data engineering teams to implement AI-powered ticket summarization tool, enabling sentiment analysis and automated product feedback categorization for Customer Success and Support Operations
Led fully remote data platform team building analytics infrastructure for revenue operations and customer insights across three companies (Hotjar, Heap, and Contentsquare) during post-merger integration. - Collaborated with Sales, Customer Success, and Finance teams to build data infrastructure (Salesforce, Clari, Zuora) supporting business planning, sales forecasting, and operational decision-making - Built Product Analytics function from ground up, hiring entire team of product analysts and team lead to support product-led growth strategy and collaborated with them regarding product experimentation - Guided implementation of semantic layer with codified revenue and customer metrics, improving data quality and reducing time-to-insight for operations teams - Led consolidated data quality & governance project elevating business-critical data assets across merged organizations Tech stack: dbt, Github & Gitlab, Salesforce, Redshift, Airflow, DataDog, Monte Carlo, Tableau, Hightouch, Atlan
Built data infrastructure supporting revenue operations and customer analytics for a fast-growing SaaS product analytics company. - Redesigned billing data architecture, enabling EUR 240K annual cost savings and more accurate revenue reporting - Optimized revenue and customer data models, reducing processing time by 50% and improving reporting reliability Tech stack used: dbt, Github & Gitlab, Salesforce, Redshift, Airflow, DataDog, Monte Carlo, Tableau, Hightouch, Atlan Languages used: SQL, python
Built analytics infrastructure and performed CRM migration to Salesforce, enabling revenue operations and sales forecasting for an education technology company. - Presented weekly insights to COO and management team on key revenue and operational metrics - Implemented company-wide Salesforce migration that enabled close monitoring of sales pipeline and revenue operations - Implemented machine learning lead scoring model for Sales - Migrated company's data stack to dbt, improving data team workflows and the trustworthiness of central data models for reliable reporting - Developed forecasting and predictive models supporting business planning and revenue projections - Partnered with Sales Operations & Marketing to implement data infrastructure supporting go-to-market strategy Tech stack used: Looker, dbt, Dataform, Fivetran, Snowflake Languages used: Python, SQL, LookML
Data Infrastructure & Analytics: - Redesigned marketplace supply operations to be data-driven, implementing processes that improved platform liquidity and transaction velocity (directly impacting revenue) - Built high-visibility daily metrics dashboard with automated Slack updates that became the company's primary operational pulse for marketplace performance and executive decision-making - Enabled geographic expansion by partnering with regional managers to analyze supply-demand balance and develop market entry strategies Revenue Operations & Process Design: - Designed cross-functional "Ops API" SLA framework enabling systematic collaboration between B2C operations and B2B account teams, transforming ad-hoc handoffs into a scalable revenue engine that increased marketplace throughput - Selected and implemented the company's first Customer Success platform, designed health scoring methodology, established proactive engagement cadences, and created expansion playbooks - Performed comprehensive churn analysis and redesigned onboarding process, significantly improving customer retention rates Technical Recruitment & Talent Operations: - Architected end-to-end technical hiring framework and personally recruited over 50% of the engineering organization Team Leadership: - Hired and led two teams, the largest consisting of 10 team members - Promoted 2 team members to middle management