About
For five years I sold windows, doors, cabinets, and OEM products to US contractors and businesses, fully remote. Pipelines, quotes, follow-up cadences, CRM hygiene, the whole revenue engine. Then I trained the full analytics stack to explain the numbers I used to live inside.
Most analysts learn the tools first and the business later. I did it in the other order. Working US B2B sales in building materials and manufacturing meant every number had a person and a decision behind it: a contractor deciding whether to order, a manager deciding which lead to chase. When I analyze retention, discounting, or operational load now, I am asking the operator's question: what do we do differently on Monday?
I completed a structured analytics program covering Excel, Power Query, Power Pivot, Power BI, Tableau, and SQL, and built five fully packaged case studies to prove it, each with documented code, a written case study, an executive summary, and a deck. I hold myself to one rule across all of them: no number without a named source, and no claim the data cannot support. The green chips across this site are that rule made visible.
Completed the full analytics stack and built five packaged case studies across e-commerce retention, revenue diagnostics, executive profit reporting, hospital operations, and public-sector trend analysis.
Handled contractor leads, quoting, and digital sales for a US building materials supplier. Managed pipeline in CRM and worked live deals with contractors and builders, alongside internal analysis work such as multi-year billing reviews and sales process documentation.
Remote inside sales for a manufacturing supplier serving the US market, working outbound prospecting and account follow-up.
Remote Revenue Operations Analyst, Sales Operations Analyst, BI Analyst, or Reporting Analyst roles in US or UK teams, especially in e-commerce, logistics, manufacturing, and B2B SaaS, where a sales floor background plus the analytics stack is the actual job description.