Business analytics, semiconductor data, and physics-trained judgment
Fabrizio Miano
I am a Business Analytics Manager at STMicroelectronics, based in Catania. My work combines data products, governance, BI architecture, and the analytical discipline I built in experimental physics and CERN research.
Salesanalytics close to commercial, operational, and executive decisions
5spoken languages: Italian, Sicilian, English, Spanish, and French
CERNresearch discipline brought into business analytics
Globalstakeholder alignment across sales, operations, and data teams
About
A data leader shaped by research, delivery, and real business constraints.
I started from physics, where evidence matters and complexity is normal. Years in the ATLAS/CERN environment taught me to reason carefully, communicate uncertainty, and build analysis that can survive scrutiny.
Over time I moved closer to business: consulting, data governance, BI platforms, and now semiconductor sales and marketing analytics. I still like the technical depth, but I care most about whether a decision becomes clearer, faster, and more defensible.
Career Story
From academia to business impact, without losing the academic roots.
My path is not a straight line, and that is part of the value. I can speak with researchers, engineers, data teams, sales stakeholders, and executives because I have had to translate across those worlds myself.
2024 - Present
Business Analytics Manager - STMicroelectronics
Sales BI architecture, KPI governance, automated pipelines, and regional stakeholder alignment.
2023 - 2024
Senior Data Analyst - Coca-Cola HBC
Business-led data governance, data quality detection, remediation, and stakeholder collaboration.
2020 - 2023
Senior Consultant - Capgemini
BI delivery, Azure-based analytics, demand planning, team leadership, CI/CD, and code review.
2018 - 2020
Applied data science and research roles
Machine learning, computer vision, NLP, European research projects, and early industry delivery.
2015 - 2018
Ph.D. in Physics - University of Sussex / CERN
Optimization studies and data-driven background estimation with the ATLAS Detector at the LHC.
Selected Work
What I tend to make better
These are the kinds of problems I have repeatedly been trusted to clarify and move forward.
BI architecture for sales organizations
Led the design and delivery of a dedicated Americas sales analytics architecture, improving reporting reliability and making sales performance easier to read across Americas.
Governance that reaches execution
Translated business-led data quality requirements into automated detection, remediation, and governance rules.
Data in semiconductor context
Work close to sales and operations in a sector where timing, reliability, and shared definitions matter.
Translation across functions
Bridge technical and non-technical teams, aligning metrics across regions, divisions, and data functions.
Business & Technical Fluency
The useful part is the bridge: business ownership with enough technical depth to make things real.
Ph.D. thesis on data-driven background estimation in searches for supersymmetric top partners with the ATLAS Detector at the LHC, plus ATLAS publications on trigger performance, stop searches, and dark matter associated with heavy quarks.
