Atlas HXM
Market intelligence, research and analytics · global employer-of-record and contractor services
I work across Marketing, Sales, Revenue Operations, Product and Finance, turning commercial questions into research plans, datasets and reports. The work combines CRM data with digital-behaviour data, supplier data and official statistics, and covers markets, competitors, customers and the sales funnel.
Structuring a contact base that had grown without rules
Normalised the job-title and company-size fields of the CRM so that audiences could be analysed by role, size and sector, and presented the resulting segments with targeting recommendations.
A codebook for why deals are lost
Analysed structured and free-text loss reasons, designed a ten-category codebook, wrote a Python keyword dictionary for first-pass coding and proposed changes to how reasons are captured.
Demand and outcomes by country
Merged opportunity, company and support-ticket records, extracted the destination country from five separate fields with a dictionary of country names and aliases, and built demand, outcome and origin–destination views.
Comparable indices for work-permit difficulty
Designed two 0–100 composite indices, one for the difficulty of obtaining a work permit and one for refusal risk, with documented indicators, weights and rules for missing data, and built the spreadsheet model and an interactive prototype.
Primary research on international hiring
Designed the questionnaire, reviewed sample and fieldwork quality with an external analyst firm, analysed the results by cohort and wrote the findings for sales, marketing and a company report. A second wave followed.
Auditing what a campaign really produced
Rebuilt account- and contact-level timelines across the CRM and an intent-data platform to separate conversions a campaign originated from those it influenced or only coincided with, and reported the smaller, supported figure.
Also: competitor and pricing benchmarks ; ideal-customer-profile studies combining CRM, workforce and finance data; market sizing by scenario for a new product line; coordination of the company’s submissions to industry analysts; funnel and cohort analysis for management and board questions; and reusable AI-assisted research workflows with source tracking and verification steps.