Data Scientist responsible for establishing data flows and developing insights within Novartis's Data and Statistical Sciences team. Collaborating across teams to optimize biopharmaceutical manufacturing processes and drive data - driven decision making.
About the role
- Data Lead for unifying Nordic data solutions into a global data platform at Carglass. Involving data engineering, architecture, and stakeholder engagement to drive analytics innovation.
Responsibilities
- Own the Nordic data platform journey: Lead the migration of four existing Nordic solutions into a single, enterprise-grade data platform
- Design and implement scalable data models and warehouses
- Orchestrate robust ETL/ELT pipelines
- Define and drive data quality rules, lineage, and documentation
- Champion governance aligned to global standards
- Deliver high-value data models, semantic layers, and dashboards
- Partner across the organization to convert questions into trustworthy metrics and actionable KPIs
- Coach analysts and business users; run enablement on data literacy and Power BI best practices
- Promote a “metrics over opinions” culture and a consistent business glossary across the Nordics
- Collaborate across the group and engage senior stakeholders; turning strategy into a delivery roadmap with clear value milestones.
Requirements
- Data engineering depth (you’ve built production-grade data platforms)
- Strong skills in SQL
- Data modelling
- ETL/ELT patterns
- Orchestration, CI/CD for data
- Testing, observability, and cost/performance tuning
- Experience with Snowflake, Snowflake OpenFlow, dbt, AWS SDLF, Erwin, PowerBI
- Experience delivering enterprise Power BI datasets, reports, DAX, row-level security, telemetry, and governance at scale
- Data governance mindset: catalogue/lineage, definitions, quality SLAs, and pragmatic controls with business ownership
- Stakeholder leadership
- Culture carrier: clear communicator, coach, and change agent
- Fluency in English and at least one Nordic language is required.
Benefits
- N/A
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