Manager, Data and Analytics
Role Overview
The Manager, Data and Analytics will build analytics capability and keep data pipelines, integrations, and master data reliable.
The role supports commercial, financial, and operational decision-making and works with Finance, Commercial, Supply Chain, Regulatory Affairs, IT, and leadership.
Key Skills for This Role
Full Job Posting
About CNX Therapeutics
CNX Therapeutics is a growing European pharmaceutical business seeking to improve access to medicines and expand its business and global footprint.
The opportunity
The Manager, Data and Analytics will build analytics capability and keep data pipelines, integrations, and master data reliable.
The role supports commercial, financial, and operational decision-making and works with Finance, Commercial, Supply Chain, Regulatory Affairs, IT, and leadership.
Strategy, insight, and reporting
- Deliver a data and analytics roadmap, prioritise requests, and identify data-driven improvements.
- Provide insight on sales, pricing, margin, and operations; support forecasting, tenders, and market analysis.
- Develop Power BI reports and standardise KPI definitions and methodology.
Platforms, integrations, and governance
- Run and improve Snowflake and dbt pipelines, build automated integrations, document data ownership, and advise on new system integrations including PLAIO and Extedo.
- Govern SKU and supplier master data and improve data quality, consistency, and integrity across systems.
- Develop predictive models and scenario analysis and support master data management system work.
AI and stakeholder enablement
- Lead an enterprise AI pilot, including rollout, guidance, features, and training; measure return on investment and advise on licences, usage limits, and spend.
- Explain complex data to non-technical colleagues and the Board, train business users, and raise project risks and support needs.
Essential qualifications
- Experience in data analytics or business intelligence using large, multi-source datasets to produce commercial insight.
- Power BI development, including data modelling, DAX, and dashboards, and advanced Excel.
- SQL, data modelling, Snowflake, dbt, automated pipelines, ERP integrations, master data management, and data governance.
- KPI design and clear communication with non-technical and Board audiences, including user training.
Desirable qualifications
- Cross-functional project delivery without line authority is desirable.
- Predictive modelling and scenario analysis, including demand forecasting or pricing, is desirable.
- The supplied description is truncated during a further desirable qualification referring to supply chain and commercial experience.
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