Commercial Analytics & Strategy Sr. Lead - Element Fleet Management - Ireland
(2025-05)
Analytics and advisory lead for a global fleet leasing business, owning BI delivery, data governance, and commercial reporting strategy across regional and international accounts.
- Led Salesforce and Snowflake data hygiene initiative by defining field-level validation rules, deduplication logic, and dataset ownership standards by eliminating data quality failures that were corrupting propensity models and pipeline forecasts, and reducing reporting defects by ~60%.
- Designed and deployed a Power BI and Salesforce reporting cadence catering to every level of the business with a single governed view of revenue, pipeline, margin, and commercial risk; cut weekly reporting preparation time from ~8 hours to under 1 hour.
- Rebuilt commercial operating model coverage and territory logic, cutting account overlap by 27% and delivering clear ownership accountability across the sales organisation.
- Consolidated pipeline, bookings, churn risk, billing, and margin reporting into a single audit-ready BI framework, reducing manual reporting effort by 80% and eliminating a 3-day monthly close process.
- Delivered segmentation analytics, identifying high-value target cohorts, contributing directly to a 2.7x uplift in qualified pipeline from priority segments.
- Partnered with Senior Director as primary analytics advisor, translating commercial challenges into structured analytical requirements and delivery roadmaps shaping business decisions at programme level.
Senior Operations & Business Analyst - Merative (IBM / Micromedex) - US Remote
(2022-07 - 2025-02)
Owned executive analytics for a $500M+ healthcare SaaS portfolio, leading KPI design, predictive modelling, and cross-functional BI across Product, Customer Success, Finance, and Sales Operations.
- Designed executive KPI scorecards covering GRR, NRR, renewal rates, product usage, and customer health thus, reducing leadership reporting preparation from 3 days to 4 hours per cycle.
- Built a renewal likelihood scoring model using subscription behaviour and product usage signals enabling CS teams to identify at-risk accounts 60+ days ahead of renewal, improving retention rates and reducing reactive churn management.
- Standardised multi-source financial reporting across billing, royalties, and annual budgets by improving accuracy by 25% and cutting finance close effort by 2 days per month.
- Eliminated 90% of manual reporting through structured pipelines and standardised metric definitions, reclaiming ~8 hours per week of analyst capacity for modelling and advisory work.
- Scaled to 5+ reusable Power BI dashboard templates and 25+ Salesforce reports across Sales, Finance, and Operations thus, achieving full leadership reporting coverage with zero bespoke build per cycle.
- Applied NLP sentiment analysis across 10,000+ customer feedback records to surface churn signals and translate qualitative risk into structured product roadmap inputs.
Business Data Analyst - Trulioo - Ireland
(2021-11 - 2022-06)
- Analysed KYC pipeline performance in AWS Redshift and identified configuration inefficiencies improving verification success rates by 30% and cutting onboarding time by 45%.
- Built real-time Tableau dashboards tracking verification throughput, error trends, and compliance SLA performance for operational and client-facing reporting.
- Reduced onboarding drop-off by 22% through structured analytical recommendations delivered to product and operations leadership.
Business Intelligence Analyst - Profitero - United Kingdom
(2021-05 - 2021-11)
- Built Power BI dashboards with BigQuery integrations for real-time digital shelf, pricing, and campaign performance monitoring across Amazon, Walmart, and Flipkart.
- Automated pricing alert workflows which eliminated ~6 hours of weekly manual competitor monitoring and improving response time to market movements by 40%.
- Delivered product diagnostics and sentiment analysis contributing to a 12% uplift in SKU conversion across key accounts.
Supply Chain Business Analyst - Reliance Retail - India
(2019-07 - 2020-08)
- Built inventory models using SAP ERP and demand forecasts to enable Just-In-Time (JIT) planning across FMCG categories.
- Reduced excess inventory by via improved vendor alignment and lead time simulations.
- Conducted demand-supply gap analysis across 100+ SKUs, leading to a 40% improvement in stock accuracy and 30% cost reduction.
