Supply Chain Data & Insights Manager
GSK
full-time
Posted on:
Location Type: Hybrid
Location: Wavre • Belgium
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About the role
- Maintain and update analytics solutions within the Control Tower for Logistics and Regional Supply Chain, ensuring data, interfaces, and visualizations remain accurate and aligned to defined standards.
- Contribute to the definition and upkeep of personas and user journeys, ensuring tools and visual elements are correctly mapped and intuitive for end users.
- Manage user access requests, workspace configurations, and persona-to-security mappings, ensuring the correct level of access for each user group in collaboration with P&I.
- Ensure all dashboards, landing pages, and CT Wheels are displayed correctly, with consistent and up-to-date data for each relevant persona.
- Maintain documentation across solutions, wheels, and the Control Tower library, ensuring materials are complete, current, and easy for users to reference.
- Perform regular functional and data-quality testing, identifying UI issues, data inconsistencies, or defects, and coordinating resolution with Tech when required.
- Monitor and track tickets or issues related to solutions in scope, ensuring they are logged appropriately and followed through to completion.
- Contribute to continuous improvement of the analytics landscape, including rationalisation of tools, identification of enhancement opportunities, and updates to shared libraries.
- Execute GenAI Business-As-Usual activities, ensuring agent behaviours are consistent, responses are reliable, and visualisations are correctly generated.
- Collect and curate business questions for GenAI model training, maintain version logs, and contribute to training and evaluation of GenAI agents to ensure high-quality outputs.
Requirements
- University degree or equivalent in a relevant field (Computer Science; Data Science; Data & Analytics; Supply Chain Management; Industrial Engineering; Mathematics; Statistics; or another quantitative or technical discipline.)
- 2 to 5 years experience
- Fluent in English
- Additional certification or coursework in analytics, data modelling, AI/ML, or cloud technologies is an advantage
- Strong learning agility
- Certifications or coursework in Data Analytics, AI/ML, Cloud technologies, or Data Engineering.
- Ability to translate business questions into analytical requirements, supporting persona design, user journeys, and tool configuration.
- Proficiency in SQL and basic-to-intermediate Python, with the ability to apply them to data extraction, transformation, and quality checks.
- Hands-on experience with BI or analytics tools, such as Power BI or similar platforms.
- Understanding of digital analytics concepts, such as root-cause analysis, diagnostic analytics, and performance interpretation.
- Exposure to modern data or cloud environments, ideally including tools within Microsoft Azure (e.g., Data Factory, Synapse, Databricks).
- Basic understanding of Large Language Model (LLM) technologies, with interest in prompt design, GenAI tools, or agent behaviour evaluation.
- Fluent in English (French is beneficial but not required).
Benefits
- Health insurance
- Flexible working hours
- Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SQLPythondata extractiondata transformationdata quality checksanalytics solutionsdata modellingAI/MLdigital analyticsroot-cause analysis
Soft skills
learning agilityability to translate business questionscollaborationuser journey designtool configuration
Certifications
Data AnalyticsAI/MLCloud technologiesData Engineering