This is an opportunity to shape a growing analytics capability from the ground up. Your work will directly influence operational efficiency, resource allocation, project staffing, skills development, and training planning across the region. As this is a new role, we are looking for someone to lead us with their expertise and help our global organisation by directly impacting the way we leverage data in resource planning.We offer:
Collaborative and inclusive work environment.
Opportunity to work on innovative projects and cutting-edge technology.
A global company with a strong presence and a diverse client base.
Competitive salary and comprehensive benefits package.
Professional development and growth opportunities.
Learn More Here: https://www.dematic.com/en-us/about/careers/what-we-offer/
Tasks and Qualifications:What you’ll do:
Design, build, and maintain Power BI dashboards and reports using best‑practice data modelling.
Prepare, transform, and integrate data from diverse sources including Databricks SQL warehouses, SQL Server, Snowflake, SharePoint lists, JSON files, and Excel.
Collaborate with stakeholders across EMEA to gather requirements, validate data, and deliver insights that support operational, financial, and strategic decisions.
Ensure consistency, performance, and compliance with data governance standards.
Perform data validation, quality checks, and troubleshooting for new and existing reporting solutions.
Identify opportunities for automation, standardisation, and continuous improvement.
Contribute to the broader analytics ecosystem by sharing best practices, documenting solutions, and supporting user adoption.
What you’ll bring:
Strong experience in Power BI, including DAX, Power Query, M language, and performance optimisation.
3+ years experience in an established business
Solid understanding of data preparation, wrangling, and modelling (star schema, snowflake schema).
Proficiency in SQL for querying and data manipulation; experience with Databricks or Snowflake is a plus.
Ability to work with semi‑structured data (JSON, XML) and convert it into structured formats.
Solid understanding of data transformation, ETL (Extract Transform Load) concepts, and data architecture principles.
Experience handling Excel‑based datasets and integrating them into enterprise reporting environments.
Solid programming skills (e.g., Python or SQL) to support data preparation and automation.
Strong analytical thinking, with the ability to identify trends, anomalies, and improvement opportunities.
A talent for creating clear, user‑friendly visualisations aligned with business needs.
Proven ability to translate business requirements into scalable analytical solutions.
Experience in a complex, global, or technology‑driven environment (intralogistics, automation, or supply chain experience is a plus)
What success looks like:
Reliable, high‑quality dashboards that give the Resource Management team a single source of truth for engineering capacity and demand.
Faster, more accurate decision‑making around project staffing and resource allocation.
Improved visibility into skills, utilisation, and future workforce needs.
A more standardised, automated, and scalable reporting environment.
Why join Dematic?
A chance to build and influence a new analytics capability with high visibility across EMEA.
Direct impact on how Dematic plans and deploys engineering talent for major customer projects.
A collaborative, international environment with opportunities for growth and development.
Competitive compensation and benefits
Dematic is proud to provide equal employment opportunities to all employees and applicants. Dematic prohibits discrimination and harassment of any type without regard to race, religion or belief, age, sex, national or ethnic origin, disability status, sexual orientation, gender identity, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
