Senior Process Mining Consultant

30 Aug 2021
25 Nov 2021
As a Process Mining Consultant in the Process Mining Competence Center of the Data Intelligence Department at Zalando Technical Foundation you will help make business processes at Zalando more intelligent, automated and optimized. Our team works closely with internal stakeholders across all Zalando pillars (e.g. Logistics, Supply, Zalando Studios, back office functions, etc.). In this role you will drive successful implementations of the Celonis technology (IBC) and support your business stakeholders along their process mining journey. You will manage squad teams assigned to your projects and oversee the implementation end to end. You consult stakeholders in identifying and overcoming business process bottlenecks, suggest state of the art automation solutions where applicable and closely monitor the initiatives resulting from the identified improvement opportunities.WHERE YOUR EXPERTISE IS NEEDED
  • Work closely with business stakeholders during the implementation of their process model (seen as a product) to ensure a comprehensive understanding of their business goals, objectives and requirements and translate them into Celonis technical requirements and jointly define a product vision that you will drive and deliver upon.
  • Work jointly with Data Engineers who extract, transform and load the required data from various sources to build python or SQL based process models.
  • Build interactive dashboards within Celonis using the standard modules and Process Query Language (PQL), to determine the impact of features, initiatives and as is processes.
  • Support stakeholders in identifying and analyzing loops, bottlenecks or other inefficiencies and jointly suggest approaches to overcome them also using state of the art automation solutions where applicable.
  • Identify improvement opportunities and monitor and report on resulting initiatives in order to drive continuous process improvement and create a positive business value impact at Zalando
  • A strong analytical mind with excitement for Big Data, 3+ years of relevant work experience, a strong growth mindset, excellent communication skills and a highly collaborative and pragmatic approach to tasks.
  • Experience with process mining solutions (Celonis, ProcessGold, Disco, etc.) and data visualization.
  • Very good SQL skills. PQL and Python skills are a plus.
  • Experience in product management including defining and delivering on a product vision and strategy across multiple teams while managing competing priorities, resulting in proven positive stakeholder impact.
  • Ability to break down complex problems with logical and easy to understand frameworks, paired with the ability to identify, retrieve, and process the needed data.
  • Solid experience in measuring the success of your products and continuous optimisation.
  • Work experience with machine learning technologies and teams is a strong plus
  • A workplace run on trust, empowerment and feedback; positive, inspiring working atmosphere
  • Competitive salary, employee share shop, 40% Zalando shopping discount, discounts from external partners, centrally located offices, public transport discounts, municipality services, great IT equipment, flexible working times, additional holidays and volunteering time off, free beverages and fruits, diverse sports and health offerings
  • Mentoring and personal development opportunities and an international team of experts
  • Relocation assistance for internationals, PME family service and parent & child rooms

We celebrate diversity and are committed to building teams that represent a variety of backgrounds, perspectives and skills. All employment is decided on the basis of qualifications, merit and business need.
Zalando is Europe's leading online platform for fashion, connecting customers, brands and partners across 20 markets. We drive digital solutions for fashion, logistics, advertising and research, bringing head-to-toe fashion to more than 42 million active customers through diverse skill-sets, interests and languages our teams choose to use.

Please note that all applications must be completed using the online form - we do not accept applications via email.

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