Linz-Wels-Steyr Area
I help businesses understand their revenue, retention, and customer lifetime value, and actually trust the numbers behind them. I work as a sparring partner for business stakeholders. I start by understanding the actual problem and its scope, so I solve the right issue rather than the one first asked. From there, I translate it into clear requirements and build the pipelines, models, and dashboards to answer it. When something is better shipped with engineering, I coordinate that. That work has spanned banking, finance, operations, subscriptions, and payments. At Tractive, a subscription pet-tech company with 1.8M active subscriptions and €100M+ ARR, I: • Built revenue reporting that cut a multi-day finance process down to a few hours • Delivered forecasting models for subscribers, revenue, and cash collection within ~2% of actuals • Built CLV cohort models that finance and product teams plan around • Shipped a failed-renewal model that helped recover renewals and cut involuntary churn ~5% • Supported operations with inventory, shipment, and production analytics, including an inventory assessment that cut process time ~40% Before that, at HYPO Oberösterreich (an Austrian regional bank), I rolled out Qlik Sense as the retail-banking team's BI layer, replaced a week-long yearly customer-segmentation process with an on-request script, and contributed Python/ML and feature-engineering to an inter-bank analytics initiative. I like building the systems and workflows behind good decisions, and keeping those decisions grounded in numbers and common sense. I work mostly in SQL, dbt, and Tableau, with Python where it earns its place. I augment my workflows with AI and Claude Code to move faster, keep quality high, and stay organized. Open to data analyst, BI, and business analyst roles, especially where subscriptions, payments, revenue, or operations sit at the core. If that's what you're hiring for, message me.
• Built subscription and webshop revenue reporting (purchases, refunds, chargebacks, deferment logic) across €100M+ ARR, cutting finance reporting and post-processing from days to hours • Modeled subscription lifetime and revenue cohorts across 1.8M+ subscribers, delivering a CLV that finance and product teams use for planning • Led a rebuild of the churn data pipeline in Redshift and dbt, fixing duplication, misclassification, and a ~5% coverage gap • Developed forecasting models in SQL for active subscribers, revenue, and cash collection, within ~2% of actuals • Delivered a failed-renewal data model the subscriptions and payments team used to recover renewals and reduce involuntary churn by 5% • Partnered with finance, product, and operations to turn ambiguous business questions into models and reporting they could act on • Supported operations with data models and dashboards across inventory, shipment times, and production, including an inventory assessment that cut process time ~40% • Owned the company's Tableau environment, governing access and enabling teams across the business
• Automated a yearly customer-segmentation process in Python, replacing a week of manual work with an on-request script • Helped roll out Qlik Sense as the retail-banking team's BI layer and built operational dashboards, reducing reliance on manual Excel reporting • Co-developed ML applications and feature engineering in Python for a shared database in an inter-bank advanced-analytics initiative • Built a heuristic to classify variable versus fixed loans from payment data • Supported retail-banking management with reporting and ad-hoc analyses (including sales campaigns) for strategic and operational decisions
Gathered insights on the day to day business in the biggest mould manufacturer company in Europe from a Marketing and PR perspective.