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.

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.

1 Resmed, Inc. jobs in England & Wales