Data Analyst (m/f/d) – Remote

Dr. Ansay

1d • Remote

About The Position

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 Job requirements

Requirements

• 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 Haves

• Statistics/Machine Learning
• JavaScript/TypeScript
• Experience with CDPs (Segment, Tealium, Rudderstack)

Responsibilities

• 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

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 1-10 employees