Simplicity networks
501 - 1000 employees
Founded 2000
👗 Fashion
🛍️ eCommerce
🛒 Retail
Fashion • eCommerce • Retail
Simplicity networks is the network behind the fashion brands OPUS and someday, providing the digital, operational and retail support that connects those labels with customers and channel partners. The company focuses on simplifying processes across sales (including B2B), retail operations, e-commerce analytics, IT, logistics and corporate services while promoting career opportunities across multiple European locations. Their positioning emphasizes digital innovation, retail and e-commerce enablement for apparel brands.
Analytics Engineer, E-Commerce
🕒 March 11
🗣️🇩🇪 German Required
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Simplicity networks
501 - 1000 employees
Founded 2000
👗 Fashion
🛍️ eCommerce
🛒 Retail
Fashion • eCommerce • Retail
Simplicity networks is the network behind the fashion brands OPUS and someday, providing the digital, operational and retail support that connects those labels with customers and channel partners. The company focuses on simplifying processes across sales (including B2B), retail operations, e-commerce analytics, IT, logistics and corporate services while promoting career opportunities across multiple European locations. Their positioning emphasizes digital innovation, retail and e-commerce enablement for apparel brands.
📋 Description
• You create data-driven decision foundations for e‑commerce, both for day-to-day operations and as part of our OKRs • You independently identify growth opportunities in e‑commerce • You place special emphasis on questions about customer behavior in our online shop • Based on an established central data platform, you develop dedicated data models for the e‑commerce domain and provide them for ad‑hoc analyses or standard reporting • Your interactive dashboards make strategic and operational relationships visible at a glance and create transparency at all levels • You are responsible for the quality of your data pipelines and independently develop tests to ensure freshness and correctness • Within the data team you are the central point of contact for the e‑commerce team
🎯 Requirements
• Degree in Mathematics, (Business) Computer Science, another STEM field, or a comparable qualification/training • At least 2 years of professional experience in a comparable role and a deep understanding of D2C e‑commerce • Strong analytical skills and a structured, solution‑oriented way of working • Solid SQL skills and experience with cloud data warehouses (e.g., Snowflake) • Experience transforming data in data warehouses (e.g., using dbt or Airflow) • Knowledge of data modeling (e.g., star schema, snowflake schema) and of building structured data products • Experience with CRM, online analytics tools (e.g., Bloomreach, GA4), and dashboarding/BI tools such as Looker or Power BI • Confident use of version control tools (Git) and agile collaboration tools like Jira and Confluence • Fluent German and very good English
🏖️ Benefits
• Take part in regular hackathons and a Dev Academy for your personal development • Enjoy a varied work environment with scope for influence, agile working, and clearly defined goals (OKR) • You may also use your state‑of‑the‑art work devices privately • Work in a modern setup — hybrid or fully remote — with 30 days of vacation per year • Fitness bonus, JobRad (bike leasing), employee discounts, events, and other benefits on top
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