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Data Analyst (m/f/d) – Remote

DADr. Ansay Ltd.Berlin🇩🇪

Detalles del empleo
Salario
No especificado
Remoto
Presencial
Habilidades
Information technologybachelor's degree
Descripción

About Us:

At DrAnsay, we believe that technology can revolutionize healthcare. Our mission is to relieve patients and doctors through data-driven solutions and sustainably improve care. As a growing startup, we offer you the opportunity to take ownership in a dynamic environment and make a real impact. 

 

Your Mission:

As our Data Analyst, you will be the central link between business and data. You will build our data infrastructure, develop dashboards, and ensure that our decisions are based on solid data. You will take ownership of our analytics landscape and actively shape the future of our company. 

  • Build and maintain a consistent “Source of Truth” for all company data 

  • Develop and optimize BI dashboards (PowerBI preferred) 

  • Implement and manage tracking solutions (Google Tag Manager, CDPs) 

  • Analyze complex data sets and derive actionable insights 

  • Collaborate closely with product and marketing teams to enable data-driven decisions



Your Profile:

  • Experience: 3–5 years in Data Analytics, ideally in a dynamic environment 

  • Technical Skills: Strong knowledge of SQL, Experience with Python or R, Hands-on experience with BI tools (PowerBI, Looker, Tableau) 

  • Tracking & Analytics: Basic knowledge of Google Tag Manager, experience with Product Analytics is a plus 

  • Nice-to-have: Statistics/Machine Learning, JavaScript/TypeScript, Experience with CDPs (Segment, Tealium, Rudderstack) 

  • Mindset: Ownership, initiative, resilience, and the ability to thrive in a startup environment 

 

What we offer:

  • Impact: Shape the data strategy of a HealthTech startup with real societal relevance

  • Ownership: Take responsibility and grow into a lead role as we scale

  • Flexibility: Remote-first culture with hybrid options

  • Team: Collaborative, low-hierarchy environment with fast decision-making

  • Environment: Modern data stack, flexible working hours, and continuous learning & development

 

How to Apply:

Sounds exciting? We look forward to your application! 
👉
Apply now and become part of our mission. 

Diversity Note: We value diversity and welcome applications regardless of gender, origin, religion, disability, or sexual orientation. 

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+Descripción detallada del puesto (500+ caracteres)
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system el Apr 2

Señales de confianza
Antigüedad
66 días
Multi-fuente
Fuente única
Republicaciones
0
Primera vez
Apr 2
Última vez
Apr 3
Empresa
Tamaño
-
Industria
-
Financiación
-
Confianza
41
0/2 vacantes cubiertas

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