Tech-lead, BI Analytics architect in a team that owns operational, business analytics of Novo Nordisk portfolio of clinical trials. Forge collaborative development processes that are scalable across team size and business features. Upskill analytics team with implementing latest development practices: CI/CD workflows and source control. Focus areas: • Lead team of BI engineers in data warehouse, report development, adopting new technologies, • Implement reference data architecture, focusing on collaboration, stand-alone semantic model, source control, continuous integration, isolated environments, in-depth monitoring, • Drive migration from legacy reporting technologies to Power BI.

Data solution architect in analytics team that owns data from Azure Data, Power Platform, Dynamics 365 product suites. Owner of usage data domain: KPI definitions, reporting, long-term storage, ETL pipelines, reporting model. Mentor and coach: onboarding external teams to analytics backend, refine usage data model that is scalable across multiple diverse teams. Key responsibilities: • Implementation of new reporting features • Automate deployment of ETL pipelines using CI/CD releases in Azure DevOps, • Migrate from legacy internal ETL tools to Azure data factory • Help, coach, mentor product teams onboard to data storage owned by the team.

Owner of internal analytics solutions. Scope of responsibilities: end-to-end data analysis, reporting for Dynamics 365 Business Central: modern SaaS ERP built on NAV platform. Translate high-level business requirements from stakeholders, compliance requirements, to interpretable metrics, understandable reports, and well-engineered data pipelines. Team expert, coach in Power BI, data modelling. Key responsibilities: • Owner of a reporting solution focusing on uniform KPIs within Dynamics Operations product group. • Architect analytics data backend • Design, develop, maintain end-user reports in Power BI: o Usage reports (active users, retention cohorts, churn analysis), o Platform health metrics (uptime, key scenario latency / errors, deployment dashboards), o Platform cost analysis, Azure cost by account, type, resource etc.; budgeting and forecast.