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Data Analytics Expert - Supply Chain B2C & Returns Team

Indeed
Full-time
Onsite
No experience limit
No degree limit
Carrer d'Isidre Nonell, 18, 08186 Lliçà d'Amunt, Barcelona, Spain
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Job Summary: We are seeking a Data Analytics Expert to optimize processes in the B2C & Returns Supply Chain, managing, analyzing, and visualizing data to drive continuous improvement. Key Highlights: 1. Improvement and optimization of B2C & Returns Supply Chain processes. 2. Development of performance tracking and analysis tools. 3. Data-driven decision-making as the bridge between operations and business. At Mango, we wear passion in everything we do. Originating in Barcelona and present in over 120 countries, we inspire the world with creativity, innovation, and authenticity. Our multicultural team is the engine of our success. We take pride in taking fashion beyond boundaries, connecting our unique style with people around the globe. **YOUR NEW ROLE:** We are looking for a **Data Analytics Expert** for our **B2C & Returns Supply Chain** team. **YOUR MAIN RESPONSIBILITIES:** Your objectives will be process improvement and optimization, taking responsibility for managing, analyzing, and visualizing area-specific data. Additionally, you will develop, cross-functionally, performance tracking and analysis tools to support and monitor data-driven continuous improvement initiatives. **Main responsibilities include:** * Define and manage the area’s KPI strategy, ensuring accurate measurement and monitoring. * Develop, maintain, and optimize reporting tools and dashboards for operational monitoring. * Analyze operational data to identify improvement opportunities and propose initiatives, tracking their implementation and results. * Provide analytical support to operational teams, delivering visibility into their KPIs and evolution. * Conduct root cause analysis and collaborate on defining action plans to improve outcomes. * Act as the bridge between operations and business, facilitating data-driven decision-making. **ABOUT YOU:** * Degree in Data Analytics, Data Science, or related field. * Minimum 3 years’ experience in data analytics and business intelligence, preferably within logistics/supply chain environments. * Advanced knowledge of SQL and/or Python. * Experience with visualization tools such as Power BI (DAX), Looker (LookML), and InfluxDB (FLUX). * Advanced English proficiency. * Proactive, autonomous attitude with a focus on continuous improvement. * Strong communication, organizational, and results-oriented skills. * Analytical mindset with a data-driven orientation. **YOUR BENEFITS:** * Enjoy a flexible schedule and hybrid work model tailored to your needs. At Mango, we champion work-life balance. * At Mango, the weekend starts on Friday at noon. We offer shortened working hours on Fridays and the day before public holidays. * Plan your vacations according to your preferences. At Mango, we value your time and want you to enjoy every moment. * As part of the Mango team, enjoy discounts across all our lines—so you’re always up to date! * Flexible compensation package with tax advantages: private healthcare, training, catering, and nursery program. * Free company transportation from Barcelona and El Vallés. * At Mango, we invest in your personal and professional growth. Access a wide range of training opportunities, personalized mentoring, continuous development programs, and internal promotion paths that propel you toward success. Technically, you’ll have the chance to train on various technological platforms, as well as participate in workshops, meetups, practice communities, team-building activities, and company meetings. * Think big! Mango offers international opportunities across more than 120 markets to broaden your horizons and grow with us globally. At Mango, we believe in an inclusive culture where creativity and innovation inspire us to take fashion further. Therefore, we are committed to offering equal opportunities to all individuals, valuing the authenticity of each person. **Taking Fashion** ================== **Further** ===========

Source:  indeed View original post
David Muñoz
Indeed · HR

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