Copenhagen Metropolitan Area
Data analyst working across product analytics and business analytics, with hands-on experience in A/B testing, experimentation, and end-to-end data solutions across e-commerce, startups, and pharma. Currently at Novo Nordisk, owning analytics products end-to-end from problem definition and stakeholder alignment to building data pipelines and designing Power BI semantic models, reports, and user-facing tools used across production sites. My work focuses on ensuring solutions are not just built but adopted and trusted, driving measurable improvements in operational performance, including increasing process accuracy from ~60% to 80%+ and timeliness from ~80% to 95%+. Previously I worked in consumer-facing product environments. At Getir I was in the conversion squad, running funnel analytics, A/B testing, and product experimentation while owning sprint planning and backlog management with daily developer coordination during rapid international expansion. At Cleanzy, an international household services marketplace, I progressed from CRM and growth analytics into full product ownership — running scrum ceremonies, managing delivery across consumer apps, supplier apps, and internal tools, and owning the platform across four markets. I am most motivated by roles where I can translate ambiguous business problems into data solutions that people actually use, working closely across product, engineering, and commercial teams.
• Own end-to-end analytics products and user-facing digital tools, from problem definition and stakeholder alignment to backlog prioritization, pipeline development, dashboards, and continuous improvement across multiple production teams. • Scaled a legacy Power App into a stable solution with 500+ users across factories, procurement, and warehouse operations, improving right-first-time spare part ordering from ~60% to 80%+ through structured backlog management, user workshops, and performance tracking. • Built calibration planning and lead-time tracking solutions using Microsoft Fabric, PySpark, Power BI, Alteryx, and Tableau, helping improve departmental timeliness from around 80% to 95%+ and supporting a later target increase to 100%. • Build and maintain data pipelines and data models (ETL) using SQL, Python, Alteryx, and Microsoft Fabric, enabling teams to access reliable, production-ready data for planning and decision-making. • Reduced manual coordination through automation with Power Apps, Power Automate, SharePoint, and Outlook, including a training-planning workflow that cut planning time by about 50%. • Act as a go-to analytics partner across teams, frequently brought into new projects to structure problems, build data solutions, and support decision-making beyond core responsibilities.
• Worked in a secure production environment handling sensitive pharmaceutical data, supporting digitalization and automation initiatives for manufacturing operations. • Replaced a slow, macro-heavy Excel tool used on the production floor by co-developing a Python-based solution that connected to production APIs, parsed PI Vision JSON data, and enabled structured queries for tank volume, flow, and related process data. • Built the supporting database and Tableau-based monitoring solution using Python, SQL, Alteryx, and Tableau, enabling continuous tracking of production data and delivering a tool that was adopted beyond the initial project scope.
• Supported a media analytics team across multiple clients by consolidating fragmented campaign cost and profitability tracking into a centralized Power BI reporting solution, improving visibility and performance tracking. • Worked with 5+ teammates to understand how reporting structures varied across campaign types, clients, and countries, then standardized formats and aligned data inputs into a single dashboard view.
• Worked in the conversion squad owning key parts of the customer journey (store, categories, product pages, basket, and checkout), combining product analytics, experimentation, and delivery in a high-growth, international environment. • Led the end-to-end development of a basket-page product recommendations feature, from problem identification and design collaboration to backend/frontend coordination and deployment. • Designed and analyzed A/B and A/B/C experiments in Leanplum, using Mixpanel to monitor conversion funnels, identify drop-offs, and measure impact of product changes. • Increased average basket size by ~5% through data-driven experimentation and feature optimization, contributing directly to revenue-related KPIs. • Actively contributed to product delivery by participating in backlog management, sprint planning, and cross-team coordination, aligning data, design, and engineering requirements. • Collaborated with cross-functional teams across engineering, data, marketing, sales, and operations, including supporting international expansion by aligning product data and requirements for new market launches.
• Owned product delivery across customer apps, supplier apps, website, and internal operations panel, managing backlog, running scrum ceremonies, and coordinating frontend, backend, and design teams • Led a full UX redesign simplifying booking flows and reducing checkout drop-off, validated through iterative A/B testing on layout, CTAs, and navigation • Ran recurring ROI and LTV analyses to set acquisition cost limits and evaluate campaign performance, with recommendations acted on directly by the business • Used cost modelling to evaluate proposed growth initiatives and present findings directly to leadership, contributing to more commercially grounded product and marketing decisions • Coordinated cross-functional delivery across product, operations, and marketing during new vertical launches including pest control, end-of-tenancy cleaning, and disinfection
• Owned Customer.io CRM across 4 international markets, designing and scaling lifecycle communication flows (push, SMS) for both customers and service providers. • Defined tracking events and user attributes across apps, website, and internal systems, working with engineering to build a scalable data foundation for lifecycle and growth analytics. • Built automated communication and operational workflows, including API-driven triggers linking CRM actions to incentives, performance, and order management. • Analyzed funnel performance, campaigns, and discount strategies using data-driven approaches, providing regular insights to leadership (CEO, marketing, operations) to support commercial decisions. • Improved operational metrics such as unclaimed orders and supplier engagement by designing targeted communication strategies and performance-driven workflows. • Supported international expansion (including UK launch) by adapting communication flows, product logic, and operational processes across markets.
• Led the initial implementation of Customer.io CRM, integrating it into daily operations and establishing the foundation for lifecycle communication and retention strategies. • Designed early-stage CRM flows (push, SMS) focused on supplier retention and service quality, while identifying gaps in tracking and contributing to the definition of future events and data structures.
Supported daily operations and managed social media activities for the Chamber.