Summary: Noatum Logistics is seeking a Data Analyst I to transform operational and financial data into strategic insights that drive performance improvement and cost reduction. Highlights: 1. Lead full Power BI development for data visualization and modeling 2. Translate complex data into clear and actionable insights 3. Continuous learning and development opportunities Published on March 5, 2026 Location**Barcelona** Category**Purchases, logistics and warehouse** Subcategory**Distribution and logistics** Sector**Logistics** Workday**Full Time** Work modality**Hybrid (on\-site and remote)** Professional level**Employee** Departament**Logistics** ### **Description** As a global client‑centered logistics operator, Noatum Logistics provides integrated value‑added solutions for the supply chains of all our clients. With a broad network of offices across 27 countries, we offer onsite experts capable of developing and executing logistics solutions fully tailored to our clients’ needs. Recognized for its excellent service and specialized staff, the company has become an industry leader, offering solutions across multiple sectors. Our services include Air Freight, Ocean Freight, Road \& Rail Freight, Customs Brokerage, Warehousing \& Distribution, and Value Supply Chain services. Key solutions include Integrated Supply Chain Solutions, 3PL for eCommerce (eSolutions), Reefer/Cold Chain Logistics and Project Cargo. Noatum Logistics meets the needs of various industries thanks to deep knowledge and global capabilities in sectors such as Fashion \& Retail, Industrial \& Construction, High Tech \& Consumer Electronics, Automotive, Food \& Consumer Goods, Mining, Energy \& Oil \& Gas, Defense \& Aerospace, and Pharma \& Healthcare. About the Role: We are looking for a Data Analyst I to join our dynamic team at Noatum Logistics. In this role, you will transform operational and financial data into strategic insights that drive performance improvement, cost reduction, and enhanced service levels. You will collaborate within a matrix environment to develop models, dashboards, and reports that support decision‑making. Key Responsibilities: * Conduct thorough analysis of business needs and document scope requirements. * Lead full Power BI development, including data visualization and back‑end data modeling. * Build and maintain dashboards and reports to support operational and strategic initiatives. * Clean, model, and analyze data using SQL, DAX, and statistical methods. * Troubleshoot BI issues using tools such as Power Query, Power Pivot, DAX, and SQL. * Translate complex data into clear and actionable insights for internal teams and customers. What We Offer: * Permanent Contract – Long‑term stability and career development. * Flexible Working Hours – Start between 8:00–9:00 a.m., finish between 5:00–6:00 p.m. Early‑finish Fridays. * Meal Card – Convenient daily lunch allowance. * Flexible Benefits Plan – Health insurance, childcare vouchers, transport card, etc. * Birthday Leave – Enjoy half a day off on your birthday. * Professional Growth – Continuous learning and development opportunities. * Collaborative \& International Environment – Work with global and diverse teams. * Corporate University – Continuous training programs. At Noatum Logistics, we guarantee equal opportunities and non‑discrimination based on sex, gender, race, religion, disability, age, or sexual orientation. We strive to promote talent in all its diversity while eliminating any form of discrimination. ### **Minimum requirements** * Bachelor’s degree in Business, Logistics, Mathematics, Statistics or related field, or equivalent experience. * 1–3 years of experience in data analytics or business intelligence. * Hands‑on experience with SQL or scripting languages such as Python or R (preferred). * Strong proficiency in Power BI (required). * Experience writing DAX expressions (preferred). * Knowledge of statistical concepts and data modeling techniques (preferred). * Excellent communication and presentation skills. * Fluent English, written and spoken (required). * Cargowise and logistics/supply chain experience (preferred). ### **Skills** * data analyst