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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior BI / Analytics Engineer, Strategic Accounts - **Company:** ResMed, Inc. - **Location:** Didcot, UK (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Data Analysis, Cyber Security, Information Systems, Information Engineering, Data Security, Power BI, Standard Sql, Data Streaming, Systems Integration, Tableau (Software), Delivery Pipeline, Information Technology, Qlikview - **Published:** July 9, 2026 - **Apply:** https://uk.indeed.com/viewjob?jk=76c14b725ddc6dfd ## 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. Let's talk about Skills and Competencies * 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. ## 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. Does not provide general regional reporting beyond strategic accounts. ## 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) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [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 in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland)