Senior Data Analyst / Lead Developer - MAXIMUS - UK Remote
(2025-04 - 2026-01)
Worked with a healthcare provider using Dynamics 365 to manage patient records, appointments, clinical cases, and staff interactions. Stakeholders lacked clear visibility into patient flow, waiting times, and service performance.
- Built a healthcare operations dashboard using Power BI, sourcing data from Dynamics 365 stored in Dataverse. Modelled patient, appointment, and case data to create KPIs like wait times and case resolution, providing insights into patient flow and operational performance.
- Designed and delivered an end-to-end healthcare analytics solution using Microsoft Fabric, integrating EHR, IoT, and clinical data into a unified Lakehouse. Built real-time pipelines and predictive models to improve patient outcomes, optimise hospital operations, and enable data-driven clinical decisions.
Delivered
Power BI dashboards for real-time patient monitoring and operational insights.
- Designed a root-cause analysis dashboard that reduced health service cancellations from 45% to 10%, integrating multi-source datasets and advanced Excel logic (Power Query, Pivot Tables, dynamic charts).
- Developed an automated practitioner KPI reporting tool using Excel, Power Pivot, DAX, and slicers, enabling real-time visibility of staff performance and driving a 15% increase in workforce productivity.
- Constructed and maintained a centralized healthcare practitioner database utilizing Power Query and Power Pivot, which decreased data processing time and minimized staffing conflicts by 25% during peak periods.
- Created an HR performance analytics system to track FTE allocations and productivity trends across multiple departments, enhancing decision-making regarding workforce planning and underperformance identification.
- Led comprehensive multi-department data collection and integration efforts, ensuring consistent, validated datasets that enhanced cross-functional alignment and reporting accuracy.
- Built an end-to-end healthcare operations dashboard in Power BI, integrating patient flow, scheduling, and staffing data, resulting in a 20% decrease in service bottlenecks and faster decision-making for department leads.
- Developed an automated workforce forecasting model using Python and Excel, enabling department managers to predict demand fluctuations and reduce overtime costs by 18%.
- Designed real-time patient wait-time monitoring dashboards, improving communication between clinical teams and enhancing patient experience scores by 12%.
Senior Data Analyst - Rebel Energy - UK Remote
(2024-03 - 2025-02)
Worked with customer-level energy consumption data, ingesting smart meter and billing data into Microsoft Fabric. Transformed and structured the data in One-Lake, created customer usage metrics and segments, and built Power BI dashboards to show consumption patterns and peak demand.
- Led advanced analytics on energy supply performance, price volatility, and consumption-volume trends using Power BI, producing interactive dashboards and automated reporting packs used by senior leadership for operational planning. These insights enabled early detection of pricing risks and supply inefficiencies, supporting intervention strategies that achieved a 12% reduction in operational costs.
- Built analytical models to profile and prioritize customers in the dunning stage, leveraging Power BI to design a debtor-age and risk segmentation system. This model enabled the finance team to identify high-risk, late-paying customers early, resulting in a 25% increase in recovered revenue and a more targeted collections strategy.
- Played a key role in the migration of the legacy energy billing system to a cloud-based architecture, contributing both technically and strategically. Developed optimized SQL stored procedures, validated large-scale billing datasets, and used GitHub for version control and CI/CD workflow alignment. This work enhanced billing accuracy, accelerated invoice generation, and reduced manual processing errors, directly supporting the company's digital transformation roadmap.
Data Analyst - Shell Energy Retail Limited - Remote
(2022-03 - 2024-03)
- Led advanced analytics on energy supply performance, price volatility, and consumption-volume trends using Power BI, producing interactive dashboards and automated reporting packs used by senior leadership for operational planning. These insights enabled early detection of pricing risks and supply inefficiencies, supporting intervention strategies that achieved a 12% reduction in operational costs.
- Engineered robust end-to-end ETL pipelines using Databricks and DBT as part of a company-wide data modernization initiative. This included designing scalable transformations, orchestrating workflows, and implementing quality checks that boosted data reliability and improved energy-demand forecasting accuracy by 15%. Developed and maintained DBT models that strengthened data warehouse consistency, streamlined pipeline maintenance, and reduced processing time for high-volume meter data.
- Built analytical models to profile and prioritize customers in the dunning stage, leveraging Power BI to design a debtor-age and risk segmentation system. This model enabled the finance team to identify high-risk, late-paying customers early, resulting in a 25% increase in recovered revenue and a more targeted collections strategy.
- Played a key role in the migration of the legacy energy billing system to a cloud-based architecture, contributing both technically and strategically. Developed optimized SQL stored procedures, validated large-scale billing datasets, and used GitHub for version control and CI/CD workflow alignment. This work enhanced billing accuracy, accelerated invoice generation, and reduced manual processing errors, directly supporting the company's digital transformation roadmap.
System Test Engineer - Indra Sistemas - Farnham
(2020-02 - 2022-01)
Indra is an innovative company and leader in IT field that deals with architectural and implementation of software under air traffic control system, design and implement software's such as range of navigation system, air communication system, and surveillance system.
- Responsible for performing integration and verification testing, including development and execution of test plans, test design and test cases for functional tests.
- Effectively delivered reports of test steps executed on client's system, reporting back to over 60 clients which resulted in 25% increase in company's revenue.
- Collaborated closely with 5 functional team members to ensure understanding of every test procedure, business scenarios, and transaction functionality of the system with automated testing skills including scripting and executing automated tests.
- Developed skills in integration and verification performance testing which resulted in development and execution of test plans, test design and test cases for 28 business clients. Used Linux to automatically reboot or turn on components within the flight control system (ITEC) with Linux commands.
- Assisted in managing, debugging, and decoding of flight logs data to identify error faults in flight databases, helping various clients such as NATS (UK Air Traffic Control System) and PANSA to navigate into the local terminal without disruption.
- Contributed to decision making in selecting and analysing requirements retrieved from DOORS. Gathered requirements, prepared functional documentation, test scripts, and executed tests on the system to validate activities with end users.
- Interacted with customers regarding system products, attended seminars in Canada and Norway with positive feedback.
