> Markdown version of [/jobs/ext/3358034-senior-data-analyst](https://www.wearedevelopers.com/jobs/ext/3358034-senior-data-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Analyst - **Company:** shopware AG - **Location:** Schöppingen, Germany (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Software as a Service, Data Architecture, Data Governance, Data Warehousing, Software Debugging, Power BI, Standard Sql, SQL Databases, Data Analytics - **Published:** September 4, 2026 - **Apply:** https://de.indeed.com/viewjob?jk=1863f15b8de17c11 ## About the Role * You have several years of professional experience in business intelligence or data analytics. You have also taken ownership of topics end to end, rather than simply delivering against someone else's specifications. * SQL is core to this role, not a nice-to-have. You are comfortable reading, writing, and debugging complex logic across a layered data warehouse. You think in terms of models and the bigger picture rather than focusing on individual queries. * You have solid experience working with a modern BI tool. We currently use MS Power BI, so experience with Power BI would be particularly valuable. * You have experience working with business or financial KPIs and are willing to go deep into how they are defined and calculated. Familiarity with SaaS metrics such as ARR, NRR, or revenue recognition is a strong plus. If these topics are new to you, we expect genuine curiosity and a willingness to learn. * You have experience working closely with Finance or other business stakeholders. You can explain methodology changes clearly to non-technical colleagues and are comfortable discussing and defending your approach when challenged. * You have a structured way of working and a high level of self-organisation and initiative. You are also confident enough to question results and speak up when you believe a number is wrong. * You have excellent English skills at C1 level. German language skills are a plus. Nice to have * You have experience with dbt or another transformation framework, as well as with version-controlled analytics work. We are currently building out these capabilities, so experience in this area would be valuable. * You have experience working in a SaaS or e-commerce environment and understand the types of data and business questions that typically come with these business models. * You have practical experience with data governance, data catalogues, or KPI documentation. You understand the importance of making definitions and data ownership clear and accessible across an organisation. * You have had exposure to controlling topics, due diligence processes, audits, or investor reporting requirements. You understand that these contexts require reliable data, consistent definitions, and a high level of accuracy. ## Description * KPI ownership: You own the technical definitions and the logic behind our business-critical KPIs, ARR and revenue first among them. Not only maintaining them, but judging when the technical definition needs to change, escalating that change through our governance guardrails and approval process, implementing it, and standing behind the result, including when it is challenged under audit or external scrutiny. This includes the communication: explaining definitions and changes proactively and understandably, from operational teams up to management level. * Technical craft and the data landscape: You build, debug and QA your own analytical logic. Strong SQL means you assemble the data you need yourself instead of queueing for it. You bring a real end-to-end model of how data moves from source systems through the data warehouse into reporting. Enough to tell a data problem from a process problem from a definition problem, to know when something has to be fixed at the source rather than patched in a report, and to work through a substantial, live backlog with the judgment to prioritize independently from day one, without close supervision. You will not own our pipelines or the platform; our data engineers do that and you work with them closely. * Enabling instead of delivering: You shape definitions, models and reporting so that stakeholders can answer their own follow-up questions instead of coming back to BI for each one. Concretely for Finance: you build the data, tooling and transparency that let them take full ownership of the topics that are rightly theirs, such as month-end close and ARR corrections. BI owns the definition and the technical implementation; Finance owns the process and the number. The target is a process Finance runs itself. * Governance as change management: Together with the Head of BI you set up and land a governance framework for business-critical KPIs: what ownership means on the business side and on the BI side, how definitions are documented, kept current and kept audit-ready, and how changes are reviewed, decided and communicated. The hard part here is adoption, not documentation, and you will have the mandate and the leadership backing to drive it. * Knowledge transfer: You share workflows, logic and ways of working with the team, so the standard you set does not stay with you., Your personal contact for this position is Josephine Scheffler and is happy to answer any questions you may have! ## Related Videos - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Crypto-secure Data Management with In-Database Blockchain](https://www.wearedevelopers.com/videos/632-crypto-secure-data-management-with-in-database-blockchain) - [Analytics in the Age of Agentic AI: A tour of ClickHouse and Langfuse](https://www.wearedevelopers.com/videos/100240-analytics-in-the-age-of-agentic-ai-a-tour-of-clickhouse-and-langfuse) ## Related Articles - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Data Analyst Salary Austria](https://www.wearedevelopers.com/magazine/275-data-analyst-salary-austria) - [German Business Culture and Etiquette](https://www.wearedevelopers.com/magazine/328-german-business-culture-and-etiquette) - [Best Companies to Work For in Germany: Top 25 Companies in 2023 ](https://www.wearedevelopers.com/magazine/33-best-companies-to-work-for-in-germany-top-25-companies-in-2023)