Analytics • BI • Commercial Intelligence

I turn messy performance data into decisions people can use.

I came into analytics through growth and marketing. That made me care less about reporting for its own sake and more about what changed, why it changed, whether the data can be trusted, and what a team should do next.

Copenhagen-based analytics professional with around four years in dedicated BI/data roles and more than ten years working with data-driven commercial decisions.

3
global websites owned analytically
100s
of sub-domains in measurement scope
6-figure
monthly media budgets managed
85%+
ROAS at Better Collective by departure
~4 yrs
dedicated BI / analytics roles
May 2024 — May 2026

Marketing Data Specialist

Milestone Systems

Owned analytics across three global websites with hundreds of sub-domains. Built KPI structures, Power BI/Looker reporting, event and measurement logic, data-quality controls, and decision routines across Marketing, Sales and Product.

Aug 2023 — Dec 2023

Senior Programmatic Specialist

Better Collective

Managed global performance activity with monthly spend above six figures, using conversion, audience and traffic-quality data to steer investment. ROAS exceeded 85% by departure.

Oct 2021 — Jun 2023

BI Analyst / Senior Programmatic Manager

Traffic Lab

Built BI reporting for a flagship affiliate business and owned recurring monthly performance reviews, producing and presenting an 11-page management pack covering results, drivers, anomalies and next actions.

2018 — 2021

Growth & acquisition analytics

Gaming Innovation Group • Calldorado • Pointvoucher

Worked across app and web acquisition, experimentation, event taxonomies, Firebase/MMPs, cohorts, retention, LTV, forecasting and commercial performance.

2013 — 2017

Commercial & partnerships

Jampp • GameGenetics • OLA mobile • UOL BoaCompra

International advertiser, publisher and partner roles combining performance data, integrations, forecasting and commercial negotiations.

Toolkit

Technical enough to build. Commercial enough to know why.

I am strongest in SQL/BigQuery, Power BI/DAX, measurement and stakeholder-facing analytics. Python is mostly AI-assisted and human-validated; I prefer being precise about that rather than pretending every tool is equally deep.

Core analytics

SQLBigQueryPower BIDAXPower QueryAdvanced ExcelLooker StudioTableau

Semantic/star-schema modelling, reusable measures, reporting layers, forecasting, scenarios, segmentation and practical experimentation.

Measurement & customer data

GA4GTMSalesforceHubSpotFirebaseAppsFlyerAdjustKochavaAPIs

Event taxonomies, funnels, cohorts, retention, attribution, S2S postbacks, deep links, CRM-connected reporting and data quality.

Modern analytics

AI-assisted Pythondbt exposureGit / PR workflowLLM workflowsData governance

AI for SQL/DAX troubleshooting, analysis acceleration, classification, reporting and prototypes. Outputs are human-validated before they become decisions.

Certifications & credentials

Formal training behind the toolkit.

Selected credentials that support the technical and commercial foundations of my work. I keep the distinction clear between course completion and active vendor certification.

BI
Completed
Certificate of completion

Power BI Desktop

Maven Analytics

29 Nov 202225 CPE credits

Formal Power BI Desktop training covering the core workflow behind the BI work shown across this portfolio.

G
Past credential
Google certification

Google Ads Search Certification

Google

Issued 2 Feb 2024Expired 2 Feb 2025

Supports my earlier paid-search and performance-marketing background; shown as a historical credential rather than a current certification.

About me

I like analytics when it changes the conversation.

A dashboard can look finished while the underlying question is still fuzzy. My preferred way of working is to agree definitions, understand what changed, test the likely drivers and make the recommendation clear enough that the meeting ends with a decision rather than another request for data.

I also enjoy building the operating structure around analytics: KPI governance, intake and prioritisation, reporting standards, documentation, adoption loops and the small routines that turn one-off analysis into something a team can trust.