Are you passionate about turning data into real impact? As an Analytics Translator in KLM Engineering & Maintenance (E&M), you work at the crossroads of aircraft engineering, IT development, and maintenance operations. Our operation generates vast amounts of data — your mission is to translate it into business value through next-generation analytics and digital solutions.
From planning optimization and stock forecasting to predictive maintenance and beyond, you help shape the future of how KLM maintains and operates its fleet. As part of the Analytics Translators Team within the E&M Big Data organization, you connect business needs with data and technology to deliver impactful solutions. Your role spans the full product lifecycle — from ideation to deployment and sustainment — ensuring data-driven tools are successfully integrated into our daily operations and their value is tracked and recognized.
Your tasks will include (but are not limited to) business and product analysis, making sure that our development team has no issues working on the tickets you’ve created. Your key responsibilities include:
Acting as a bridge between business and development teams: translating complex needs into clear user stories, tickets, and data requirements.
Proactively engaging with (key) users and stakeholders to identify opportunities and co-create analytics solutions.
Analyze data, data models, and existing business processes to define actionable, detailed requirements and ensure the development team can deliver effective solutions.
Create business cases and track the value and impact of analytics products, ensuring alignment with E&M’s strategic objectives.
Scout and evaluate new data-driven technologies and opportunities for E&M.
Participate in cross-functional agile teams to deliver impactful products efficiently.
Manage stakeholders at various levels of the organization, up to MT members and VPs.
In this role, you’ll play a key part in KLM’s advanced analytics transformation, helping integrate innovative solutions into real-world maintenance and engineering processes — and see the tangible results of your work on the operation. You’ll also contribute to shaping and implementing the Big Data & AI strategy for E&M, working closely with passionate colleagues from business and IT in one of our agile product teams.