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About the Role

The Manager, Data and Analytics will transform CNX Therapeutics’ data into actionable decisions by ensuring the reliability of pipelines, integrations, and master data. This role will lead the development of analytics capabilities across commercial, financial, and operational domains, collaborating with various departments to enhance visibility, enable better decision-making, and foster a data-led culture. The position involves guiding the adoption of new tools like Snowflake, dbt, PLAIO, Extedo, and AI, demonstrating their value.

Responsibilities

Deliver a data and analytics roadmap aligned to business priorities.
Agree on the prioritization of ad hoc requests against project work.
Identify opportunities where improved data utilization can enhance decisions and performance.
Provide insights on sales, pricing, margin, and operational performance, supporting Commercial on pricing, tenders, and market dynamics.
Collaborate with FP&A and Commercial Finance to refine forecasting and analysis.
Offer clear, data-led recommendations to senior leadership.
Maintain and enhance Power BI reports for Commercial, Finance, budget holders, IT spend, and the Board.
Standardize KPI definitions and methodologies, and challenge ineffective KPIs.
Manage and optimize Snowflake and dbt pipelines for reporting.
Build resilient pipelines capable of handling poor-quality inputs.
Document the data platform to reduce single points of failure.
Develop and support automated integrations within the data and application ecosystem.
Manage data mapping between systems and document data ownership.
Provide guidance on integrating new systems such as PLAIO and Extedo.
Implement a governed process for SKU and supplier master data creation.
Collaborate with departments to identify and enforce required fields for master data.
Enhance data quality, consistency, and integrity across systems.
Develop predictive models and scenario analyses, including demand forecasting.
Support the identification and implementation of MDM to define authoritative data sources.
Manage the enterprise AI pilot, including rollout, guidance, features, and training.
Measure and report on AI ROI, advising on licenses, usage limits, and spend.
Identify and communicate risks associated with AI adoption, such as shadow AI and regulatory concerns, emphasizing shared responsibility.
Communicate complex data clearly to non-technical stakeholders and the Board.
Train and support business users, including senior managers, in utilizing Power BI and AI tools.
Serve as a liaison between technical and business teams, proactively reporting project risks and support needs.

Requirements

Experience in data analytics or business intelligence with large, multi-source datasets, translating data into commercial insight.
Proficiency in Power BI development (data modeling, DAX, dashboards) and advanced Excel.
Skills in SQL, data modeling, Snowflake, and dbt.
Experience building automated pipelines and ERP integrations (e.g., NetSuite).
Experience with master data management and data governance.
Experience in KPI design, including agreeing on definitions and ensuring KPIs drive action.
Clear communication skills for non-technical and Board audiences, including user training.
Experience delivering cross-functional projects without direct line authority, including scoping, milestone management, risk assessment, and support needs.
Experience with predictive modeling and scenario analysis (e.g., demand forecasting, pricing).
Knowledge of supply chain and commercial planning processes (S&OP, demand planning).
Practical experience with enterprise AI tools, including measuring benefits and managing data and regulatory risks.
Knowledge of regulated pharmaceutical environments (GxP, UK GDPR).

Skills

Data Analytics
Business Intelligence
Power BI
Data Modeling
DAX
Advanced Excel
SQL
Snowflake
dbt
Automated Pipelines
ERP Integrations
Master Data Management
Data Governance
KPI Design
Communication
User Training
Cross-functional Project Management
Predictive Modeling
Scenario Analysis
Demand Forecasting
Pricing Analysis
Supply Chain Planning
Commercial Planning
S&OP
Demand Planning
Enterprise AI Tools
Risk Management
GxP
UK GDPR

Location

Remote
Hybrid

Work Type

Hybrid
Full-time

Experience Level

Manager

Salary/Compensations

Competitive remuneration package

Benefits

36 days of annual leave
Additional ‘CNX-Day’
Flexible hours
Hybrid working
Private healthcare (including dental)
Access to on-site gym with classes
Summer Fridays (early finish during summer months)
Monthly wellbeing allowance
Time to volunteer

About the Company

CNX Therapeutics is building a growing European pharmaceutical business focused on improving patient access to life-changing medicines.
The company has a diverse portfolio and an expanding global footprint, with growth driven by existing business and new opportunities.
CNX fosters a collaborative, entrepreneurial, and fast-moving environment where employees can take ownership, make an impact, and shape the company's growth.
Joining CNX offers the chance to be part of an ambitious team during an exciting developmental stage, contributing to both the business and patient outcomes.