Lead - Data & BI - The Helicopter Company (THC) - Riyadh, KSA (Remote from Islamabad, Pakistan)
(2024-07)
Lead hands-on Power BI delivery for a Riyadh-based aviation enterprise — owning the full reporting lifecycle from stakeholder requirements and data model design through to published, production dashboards used daily by CEO, CFO, and operations leadership.
- Architected the company's centralised Google BigQuery data warehouse using Kimball star-schema methodology, consolidating fleet operations, medical mission, finance, Admin view and HR data from siloed source systems into a single trusted reporting layer.
- Built and operate the production ETL/ELT pipeline stack in GCP, Python and SQL, handling daily ingestion, reconciliation, and quality validation across multiple operational source systems with zero manual intervention.
- Delivered a 360-degree Fleet Operations and Medical KPI estate (15+ Power BI dashboards) with row-level security, complex DAX measures, and Direct Query, eliminating spreadsheet-based reporting by 90%+ and giving the CEO and operations leadership a real-time view of mission-critical KPIs.
- Built the Finance dashboard suite for the CFO covering P&L, budget vs. actual, and expense tracking, with BigQuery-side data fixes including selective sign reversal on SG&A rows. Collapsed a multi-day Excel cycle into a real-time view, reducing manual reporting effort by 90%+.
- Designed an HR analytics platform tracking headcount, FTEs, attrition, and demographics, using context-aware DAX patterns and slicer-state capture techniques to deliver near-real-time people analytics across the enterprise.
- Resolved a class of advanced data integrity issues including midnight-crossing duration calculations, time zone alignment between BigQuery and Power BI, calculated-column dependency cycles, and duplicate-row resolution from event-streamed source tables.
Senior Data Analyst - Contour Software (AlphaGo)
(2022-05 - 2024-08)
AI-powered geospatial predictive analytics platform leveraging climate data for U.S. real estate market forecasting.
- Designed and built the company's Snowflake data warehouse from scratch, implementing an automated ELT framework that ingested geospatial, climate, and real estate datasets from AWS S3 on configurable monthly and quarterly schedules with zero manual intervention.
- Wrote and tuned production SQL across Snowflake for transformation, aggregation, and cross-dataset quality validation, improving query performance and downstream model reliability.
- Built a Looker Studio analytics layer and a Power BI workforce-utilisation dashboard for management, eliminating 100% of manual time-tracking reporting and surfacing real-time delivery insight.
- Partnered with data scientists and quantitative researchers to translate market-facing questions into reliable analytical outputs and ad-hoc client analyses.
Senior Data Analyst, Performance & Reliability - Motive
(2021-08 - 2022-05)
Hubble, an AI-powered safety dashcam platform serving fleet operators across the USA and Canada. High-volume device telemetry domain.
- Built performance and reliability monitoring dashboards processing high-frequency device telemetry, contributing to a 25% reduction in product error rate and improved hardware reliability across deployed fleet devices.
- Designed an end-to-end monitoring solution for the Vehicle Gateway product line, enabling proactive issue detection and resolution across the engineering organisation.
- Developed cross-functional analytical dashboards in Metabase and Redash, surfacing real-time device health metrics for engineering, hardware, and product stakeholders.
Data Analyst & Data Team Lead - Venture Dive (Munchies)
(2020-02 - 2021-08)
Snack delivery platform with 500K+ users, incubated by Unilever. High-volume transactional environment spanning online card payments, cash-on-delivery, and merchant settlement flows.
- Led the data team in optimising the dispatch and routing algorithm, reducing average delivery time by 15% through data-driven routing improvements.
- Owned the analytics layer for the platform's payment systems, covering online card payment success and failure rates, cash-on-delivery reconciliation, refund and cancellation flows, and order-to-payment funnel analysis, giving operations and finance a clear view of transactional health.
- Automated ad-hoc reporting pipelines in Python, saving 95%+ of stakeholder time previously spent on manual Excel report generation.
- Built a Python-based automated insights system that pushed key business and transactional highlights to stakeholder Slack channels for real-time action.
- Developed an in-house ETA prediction model deployed on AWS Lambda, replacing a third-party vendor and saving $1,500/month in recurring vendor cost.
Software Engineer, Big Data & AWS - NorthBay Solutions
(2019-08 - 2020-02)
Developed front-end features for the Tenna construction equipment management platform using ReactJS and NodeJS in an Agile/Scrum environment.
Senior Power BI Consultant - BIMaverick (Freelance)
(2023-01)
Independent Power BI consultancy delivering end-to-end BI solutions for enterprise clients in healthcare, EdTech, hospitality, and aviation across US, UK, and Australia.
- Built a multi-page Power BI referral performance dashboard for a US dermatology group (QualDerm) on Snowflake: designed the full semantic model, authored complex DAX measures, applied conditional formatting logic, and resolved upstream Snowflake data quality issues through cross-team coordination.
- Delivered Power BI dashboards for a Web3 EdTech platform (online learning), connecting enrolment, course completion, and revenue data into a unified executive KPI view, enabling data-driven portfolio decisions and student progression tracking at scale.
- Rebuilt a hospitality analytics Power BI solution (Raus, Germany) following an API source migration, systematically validating KPI parity via Python and Postman and restoring full reporting accuracy post-migration.
