Business Intelligence Analyst

02 Jul 2020
31 Jul 2020

Department: Business Intelligence Payments
Reports to: Team Lead Business Intelligence Payments
Team Size: >5
Recruiter E-mail:

As a BI Analyst you will act as a connector between engineers and stakeholders. Support them by enabling automatized data driven solutions to business and technical challenges via our single point-of-truth data warehouse.


Collaborate with our data warehouse engineers and Payments stakeholders to create and implement new self service reporting initiatives based on stakeholders' requirements
Support business stakeholders in a fast-paced innovative environment with accurate and insightful data deep dives
Consult our stakeholders on their (big) data needs and use cases on Payments, Customer and Order Analytics
Extend and optimize our enterprise data model using our current technologies such as Exasol, Oracle, Nakadi and Data Lake and the evolving big data warehouse technology for Payments based on AWS & SAP HANA in connection with Redshift, Spark, Nakadi and Data Lake.


3 years+ of experience as BI Analyst / Data Analyst with a problem solving and can-do attitude. Previous experience with the financial/payments domain is a plus.
Pragmatic and a quick learner, equipped with an analytical mindset, always passionate about finding state-of-the-art solutions, and you are always stakeholder centric.
Strong knowledge in the areas of data (warehouse) modelling, data quality and data landscape. Experience with cloud-based platforms is a plus.
Advanced level of SQL skills. Experience with columnar databases is a plus.
Up to challenge the status quo, drive innovation and you are keen to identify and apply best practises. Excellent verbal and written communication skills in English are a must.
Ability to create well-defined and high quality dashboards, reports and technical documentation. Experience with SAP Analytics Cloud, Tableau or similar tools is preferred.
Obtained an academic degree in Information Systems, Analytics, Computer Science, Statistics or other similar quantitative field.
Experience with Databricks, AWS Glue, S3, Airflow, Grafana, Kibana, etc. acts as an additional advantage.


Culture of trust, empowerment and constructive feedback, open source commitment, meetups, game nights, 70+ internal technical and fun guilds, knowledge sharing through tech talks, internal tech academy and blogs, product demos, parties & events
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
Extensive onboarding, mentoring and personal development opportunities and an international team of experts
Relocation assistance for internationals, PME family service and parent & child rooms* (*available in select locations) diverse sports and health offerings

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.

About Zalando Payments

Zalando Payments builds the technologies for all financial transactions in the Zalando fashion store and our other consumer facing apps. We work to deliver a flawless user experience in the checkout, as well as processing of payments and reconciliation in the back-end. Through smart risk steering we boost conversion and deliver a competitive advantage to our customers, taking in the entire financial process.

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