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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Bi - Analytics Engineer Strategic Accounts H/F - **Company:** ResMed - **Location:** Lyon, France - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Data Analysis, Cyber Security, Information Systems, Information Engineering, Data Security, Power BI, Standard Sql, Data Streaming, Tableau (Software), Delivery Pipeline, Information Technology, Qlikview - **Published:** September 19, 2026 - **Apply:** https://www.hellowork.com/fr-fr/emplois/83537177.html ## About the Role Degree in computer science, data engineering, information systems, analytics or a related field. - Solid experience as a BI / analytics / data engineer delivering end-to-end: ingestion, modelling and dashboards. - Strong SQL and data modelling; hands-on expertise with a leading BI tool (e.g. Power BI, Tableau or Qlik). - Experience integrating multi-source, multi-currency commercial data; entity-resolution / master-data experience an advantage. - Familiarity with data security and GDPR; experience with external-facing or customer dashboards a plus. - Experience supporting S&OP / IBP or finance data feeds is desirable. - An end-to-end builder able to own both the build and the run alone. - Pragmatic, delivery-focused and comfortable with messy, real-world data. - Translates business specifications into robust, governed data products. - Strong attention to data quality and defensibility. - Collaborative; works cleanly to a specify-then-build model with the Lead., postgraduate degree EducationalOccupationalCredential bachelor degree EducationalOccupationalCredential associate degree ## Description Data sourcing and integration. Build pipelines from cluster CRM, ERP, order-billing and pricing systems (and device-adherence data where used) into a common layer, reconciling differing system instances, currencies, fiscal calendars and product / customer codes. - Account master and entity resolution. Implement the governed Top-10 account hierarchy, survivorship rules and M&A re-parenting, per the Lead's business rules. - Data model. Build and maintain the dimensional single source of truth - fact tables (revenue, units, resupply, pipeline, contracts) across account-hierarchy, product (mask / device), cluster, time and currency dimensions. - Metrics. Implement and validate the measures specified by the Lead (share of wallet, resupply / churn, baseline vs. ambition, gap-to-plan, forecast accuracy / bias, price realisation, contract compliance). - Data quality, security and lineage. Maintain data-quality monitoring, row-level security, GDPR controls on any adherence data, and audit / lineage so numbers hold up in the CMR and MBR. - Dashboards. Build internal strategic-account views and customer-facing performance dashboards, including external-sharing capability with InfoSec and legal sign-off. - IBP data feed. Build the extract that maps the account demand plan and assumptions into the IBP structure as a reconciliation dimension, supporting the monthly cycle. - Run and maintain. Own ongoing monitoring, refresh, change requests, new-account onboarding and hierarchy updates. As the build matures, the lighter run may transfer to Sales Operations. - Boundaries. Does not own metric definitions, hierarchy business rules, customer-exposure judgements or narrative - these sit with the Lead. 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