Trisha Roy

Business Analyst with 5 years' cross-sector experience spanning IT consulting, operations, and healthcare, specialising in requirements gathering, SLA/KPI analysis, and stakeholder engagement. Skilled in Power BI, Python, SQL, and Excel reporting to monitor service delivery, workforce utilisation, risk mitigation and compliance across multiple client contracts across Agile and Waterfall environments. Delivered 6+ process improvement initiatives achieving 20% efficiency gains and £20,000 in annual savings. 4x Annual Top Performer at HPE, for delivery impact on large-scale data migration and sales pipeline growth.

Operations Analyst at Verra Mobility UK (2025-09 – Present)

• Built 5+ Power BI KPI dashboards tracking contract SLA compliance, engineer performance and ticket progression, surfacing breach-imminent alerts, workload imbalances, and seasonal risk patterns, driving daily operational decisions that cut rework by 12%.
• Managed monthly engineer rota, analysing resource allocation, attendance trends and overtime patterns via Python and Excel travel-time matrix analysis, automating reporting in Power Automate to lift planning accuracy by 25%.
• Analysed repeat device failure trends across SecuRoad (Belgium) and GoSafe (Ireland) contracts, applying root cause analysis to distinguish end-of-life faults from field engineer skillset gaps, cutting turnaround time by 32% and lifting device availability to 98%.
• Identified process enhancement opportunities in ServiceNow workflow rules against National Highways contract requirements, applying 5 Whys and change management to redesign hold and resolution logic, sustaining a 97% SLA turnaround rate.
• Mapped current and future state business processes in Visio using BPMN, identifying handoff gaps and process inefficiencies in ticket management and service delivery workflows, producing system documentation that cut repeat site visits by 20%.
• Reviewed QHSE audit findings, near-miss incident reports, and compliance performance information, co-authoring Risk Assessment and Method Statements (RAMS) for roadside engineer safety and ensuring operational SOPs remained ISO compliant, strengthening risk mitigation across field operations.

Reporting Analyst (Cancer Research) at NHS – University Hospital Southampton UK (2025-04 – 2025-09)

• Developed Power BI reports to monitor capacity and demand across five cancer referral departments, highlighting breach risks against ward capacity and enabling data-driven decisions that improved referral turnaround by 20%.
• Conducted gap analysis across cancer referral workflows using Excel-based metrics tracking, surfacing 3 recurring bottlenecks and recommending a risk-based escalation protocol to clinical leads, reducing 62-day cancer wait time breach risk by 15%.
• Consolidated patient pathway data, admission rate, bed capacity and length-of-stay metrics from NHS Somerset trackers per MDT review meetings, flagging weekly breach risks to clinical leads, increasing bed allocation target by 8%.
• Elicited business requirements from clinical and administrative stakeholders through workshops and process walkthroughs, producing requirement summaries that identified capacity gaps and informed staffing reallocation decisions.

Business Analyst / Technical Consultant at Hewlett Packard Enterprise India (2019-01 – 2023-05)

• Designed BI dashboards and KPI scorecards across 5+ projects to monitor backlog volumes and performance trends, surfacing SLA duplication and Salesforce workflow bottlenecks that drove process redesigns, cutting cycle time by 30% and saving £20,000 annually.
• Delivered 2 feasibility studies and cost-benefit analyses in Excel, scoping RFPs, evaluating vendor proposals, and recommending the optimal build-versus-buy solution, securing third-party contracts and achieving £15,000 in cost savings.
• Led stakeholder workshops across 5+ process optimisation projects to elicit, document, and prioritise business requirements, translating findings into BRDs, FRDs, and SRS artefacts to enable Agile delivery that reduced process cycle time by 10%.
• Extracted and joined large operational datasets using SQL, then assessed performance trends (time-series) and forecast variance in Python to support data-driven planning decisions, boosting forecasting accuracy by 30% and device failure predictability by 15%.
• Coordinated UAT for Salesforce SLA workflow changes with QA testers, creating test scripts aligned to acceptance criteria, supporting test execution, and tracking defect resolution in JIRA and regression checks to reduce post-production defects by 35%.
• Applied MoSCoW prioritisation to business requirements and change requests, managing sprint scope in JIRA across planning, standups, and retrospectives to enable Agile delivery and minimise scope creep by 15%.

MSc in Business Analytics and Management Sciences – University of Southampton UK (2023-09 – 2024-12)

B. Tech in Electronics and Communication Engineering – SRM Institute of Science & Technology India (2015-06 – 2019-07)