Job
In this role, you build data-driven management models for product decisions, analyze user behavior and market trends, and present the results clearly for management's consideration.
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Your role in the team
- As a Data Scientist, you ensure the data-driven decision-making foundation for our automation platform.
- You are building the data-driven management of a strategically important product area, and your analyses directly influence management and product decisions.
- You consolidate today’s scattered data sources (own systems, Metabase, Matomo, our support analyses, and others) into a reliable factual basis on which roadmap and prioritization decisions, as well as management decisions, can be made.
- You work closely with product management, architects, and product owners to analyze data sources, make them comprehensible, and prepare the results in an understandable manner.
- This initially applies especially to our client products such as capitain and ETL PISA, and prospectively to our broader portfolio.
- Beyond internal management, you keep an eye on the market environment and connect our own data with a well-founded view of competition and market trends.
- You model the end-to-end funnel from outreach through commitment to closing.
- You make throughput times, dropout rates, reasons for dropout, and time-to-first-migration visible and controllable, segmented by profiles and potential for our individual clients.
- You analyze user behavior and errors, identify systematic blockers, and translate them into concrete action points for product and delivery.
- You also analyze, for example, the different user groups and applicable pricing models, so that it becomes clear where the greatest economic leverage in our decisions lies.
- You are building a robust data model for law firm and mandate information.
- You deliver the KPI set for steering committees and roadmap decisions: funnel metrics, segment performance, quality indicators from our automated bookings and support.
- You systematically monitor the market and competitive environment in the TaxTech and FinTech segments as well as adjacent ecosystems.
- External signals regarding scope of functions, pricing, and market development are linked with our internal adoption data and provide management with a reliable external perspective for product and strategic decisions.
- You actively contribute to the decision of which data will be transferred to a central data platform (Microsoft Fabric) and which will remain closer to the source for analysis.
Our expectations of you
Education
- Completed degree in Data Science, Business Informatics, Computer Science, Statistics, Mathematics, Physics, or a comparable background.
Qualifications
- You have already worked for several years in data analytics roles and have been responsible for your own analyses from the question formulation to the action recommendation.
- We are looking for someone with solid practical experience, who works independently and continues to grow in the role.
- You have very good German skills (C1/C2) and good English (B2), so you can communicate confidently with our developers in the Czech Republic.
- Solid foundation in statistics, exploratory data analysis, and data modeling.
- You are proficient in SQL and common API standards.
- You also condense reliable statements from unclean, scattered sources.
- You are not restricted to a single tool.
- You choose the tool based on the problem, not out of habit, and quickly familiarize yourself with the most appropriate environment.
- This independence is more important to us than knowledge of a specific product.
- You translate data findings into actionable recommendations that inform product, migration, and sales decisions.
- A key figure only has value for you when it influences a decision.
- You make complex analyses for product management, partner management, and steering committees understandable and ready for decision-making.
Experience
- Experience with our platform stack is welcome but not a prerequisite: Microsoft Fabric and Power BI, Metabase, Matomo, Elastic Stack for logging, Prometheus, and Grafana.
- Experience with market or competitive analyses as well as proximity to TaxTech, FinTech, or accounting is a plus.
What we offer
- For most positions, we offer a hybrid work model.
- In addition, up to 20 days abroad within the EU are possible.
- 30 days of vacation are standard with us.
- Additionally, Rosenmontag is a day off, and there is a half-day off at Christmas and New Year's Eve.
- Flexible working hours are a standard part of eurodata.
- The exact implementation varies from team to team.
- We use JobRad to financially support you in leasing your dream bike.
- Use the SpenditCard for a tax-free salary supplement of €30 per month and an extra €50 on your birthday.
- The iPhone 16.
- We cover all contractual costs.
- After 2 years, it belongs to you.
- From the age of 35 and with 5 years of service, eurodata offers a fully funded supplementary pension.
- We support our employees in participating in trade fairs, conferences, and educational events, both online and offline.
Benefits
Work-Life-Integration
Health, fitness & fun
Topics you will work on
Job locations
About your employer
Die eurodata Unternehmensgruppe entwickelt und betreibt cloudbasierte Softwarelösungen und IT-Services. Im Mittelpunkt stehen kaufmännische Anwendungen, die für die Bereiche Personal- und Finanzwesen sowie das Management von Unternehmen von besonderer Bedeutung sind. Seit Gründung im Jahr 1965 stellen Steuerberatungen, Tankstellen- und Handelsnetze den Kern des eurodata Kundenstamms dar.
- Established Company
- Onsite, Hybrid
- Internet, IT, Telecommunication
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