Senior Data Analyst (m/f/d) at Redcare Pharmacy

Cologne, North Rhine-Westphalia, Germany -

Full Time

Start Date

Immediate

Expiry Date

17 Feb, 26

Salary

0.0

Posted On

19 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Power BI Cloud, Financial Forecasting, SQL, Python, Databricks, Data Modeling, KPI Development, Financial Analysis, Operational Analysis, Data Pipelines, Data Architecture, Collaboration, Data Visualization, Narrative Development, Stakeholder Engagement

Industry

Retail Pharmacies

Description

Company Description About Redcare Pharmacy: As Europe’s No.1 e-pharmacy, Redcare Pharmacy is powered by passionate teams and cutting-edge innovation. We strive to create a healthy, collaborative work environment where every employee feels valued and inspired to contribute to our vision: “Until every human has their health.” If you’re seeking a career that offers purpose and aligns with your values, join us and start your #Redcareer today. About the role: Are you ready to take on the challenge of building robust data solutions for cutting-edge Data & AI initiatives? As a Senior Data Analyst, you’ll be at the forefront of developing and optimizing data pipelines and architectures that enable Data & AI models to deliver transformative insights. Join us to shape the future of digital healthcare with data-driven innovation. Job Description About your tasks: Lead the design and development of advanced data models in Tabular and/or Databricks to address company-wide analytical needs, including models supporting financial forecasting, cost control, and profitability analysis. Develop and oversee the implementation of sophisticated Power BI Cloud dashboards that surface both operational and financial KPIs, enabling real-time insight into business and financial performance. Collaborate with cross-functional stakeholders, including Finance, Controlling, and Business Operations to align analytics with strategic and financial objectives. Conduct in-depth financial and operational data analysis, identifying trends, tracking deviations, and providing clear, actionable recommendations to support leadership Enhance decision-making processes across the organization by transforming complex data into compelling narratives tailored to financial stakeholders. Qualifications About you: Bachelor’s or Master’s degree in Computer Science, Information Technology, Economics, Finance, or a related field. 5+ years of experience as a Data Analyst, Data Scientist, or Analytics Consultant, ideally with direct exposure to finance, controlling, or FP&A environments. Advanced proficiency in Power BI Cloud, with a strong understanding of financial data modeling and semantic layer optimization. Hands-on experience with Databricks, SQL, and Python, with proven capability in handling large datasets for financial analysis and reporting. Additional Information About your benefits: In order to provide you with the best possible support for your individual needs - whether it‘s living a healthy life, having enough time for your family or developing your skills - we offer a wide range of different site-specific benefits: Sports: Stay healthy. Profit from a membership (M) package at Urban Sports Club so that you can take advantage of a huge variety of sport offers. Mental Health: Get quick and professional help from psychologists of nilo if you feel overwhelmed in private or professional life. Anonymous and free of charge. Work from Home: If your job does not require you to be present in the office we can arrange the place you work from individually - even for up to 20 days a year anywhere in the EU. Mobility: We provide our employees with a fully costed Deutschland Ticket which can be used at any time. Personal development: Grow! We support and encourage your individual development through various in- and external trainings.

Responsibilities

Lead the design and development of advanced data models and oversee the implementation of Power BI Cloud dashboards. Collaborate with cross-functional stakeholders to align analytics with strategic objectives and enhance decision-making processes.