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Project Data Analyst (m/w/d) - Fixed-term

Philips

Böblingen

Vor Ort

EUR 50.000 - 70.000

Vollzeit

Vor 3 Tagen
Sei unter den ersten Bewerbenden

Zusammenfassung

A leading health technology company in Böblingen is hiring a Project Data Analyst for a fixed-term contract until Feb. 28, 2027. This role involves analyzing complex datasets, creating data models, and ensuring compliance with data privacy regulations. The ideal candidate has a Bachelor's degree and several years of experience with QlikSense, along with fluent German and English skills. Benefits include 30 days of annual leave and subsidized transport.

Leistungen

30 days annual leave
Subsidized Germany ticket
Wide range of professional training courses
Employer-funded pension plan
Two paid weeks off after partner's birth
Discount on Philips products
Free drinks and low prices in canteen
Informal culture and team activities

Qualifikationen

  • Several years of experience with QlikSense is a must-have.
  • Fluent in German and English.

Aufgaben

  • Analyze complex datasets to inform strategic decisions.
  • Create data models and predictive analytics.
  • Implement scalable ETL pipelines.
  • Ensure compliance with data privacy regulations.
  • Conduct advanced statistical analyses.

Kenntnisse

Data Analysis & Interpretation
Data Harmonization & Processing
Statistical Methods
Statistical Programming Software
Business Intelligence Tools
Data Mining
Machine Learning Engineering Fundamentals
Research & Analysis
Structured Query Language (SQL)
Regulatory Compliance

Ausbildung

Bachelor's Degree in Information Management, Information Systems, Computer Science, Data Analytics or equivalent

Tools

QlikSense
Jobbeschreibung
Project Data Analyst (m/w/d) – Fixed-term Job Description

Fixed-term contract until Feb. 28, 2027.

Your role:
  • Analyzes complex and multi-dimensional datasets across various business units to uncover deep insights that inform high-level strategic decisions and drive business performance.

  • Creates sophisticated data models and predictive analytics using advanced statistical techniques and machine learning algorithms to forecast trends and optimize business outcomes, working under general supervision.

  • Implements scalable ETL (Extract, Transform, Load) pipelines and robust data integration solutions, ensuring data consistency, accuracy, and reliability across the organization.

  • Provides inputs on data architecture and infrastructure improvements, advising on best practices for data storage, retrieval, and management to enhance system performance and scalability.

  • Ensures compliance with global data privacy regulations such as GDPR and HIPAA by designing and enforcing comprehensive data governance frameworks and security protocols.

  • Conducts advanced statistical analyses, including hypothesis testing and multivariate analysis, to validate business strategies and provide evidence‑based recommendations for process enhancements.

  • Evaluates the effectiveness of implemented data solutions using performance metrics and feedback loops, continuously refining analytical approaches to improve outcomes.

  • Benchmarks existing data analytics tools and technologies, leading the selection and integration of state‑of‑the‑art solutions to maintain a competitive edge and drive innovation.

  • Supports the execution of enterprise‑wide data strategies, providing thought leadership and expert guidance in data analytics, business intelligence, and data science methodologies.

  • Identifies opportunities for automation and process optimization, leveraging artificial intelligence, machine learning, and advanced analytics to enhance data processing efficiency and decision‑making accuracy.

You should bring the following:
  • Minimum required Education: Bachelor's Degree / Vocational Education in Information Management, Information Systems, Computer Science, Data Analytics or equivalent.

  • Several years experience working with QlikSense is a must‑have
    • Data Analysis & Interpretation
    • Data Harmonization & Processing
    • Statistical Methods
    • Statistical Programming Software
    • Business Intelligence Tools
    • Data Mining
    • Machine Learning Engineering Fundamentals
    • Research & Analysis
    • Structured Query Language (SQL)
    • Regulatory Compliance
  • Fluent German and English skills
Philips benefits for you:
  • Annual leave: 30 days
  • Mobility and devices: subsidized Germany ticket (instead of 58€ only 35,10€), leasing opportunities for private use (bicycles, cars, smartphones…)
  • Philips University & Philips in Balance: Wide range of professional training courses and for personal development & Healthcare
  • Philips Pension Fund: Employer‑funded pension plan
  • “Partnerzeit” – two paid weeks off after your partner has given birth
  • Philips MyShop: Discount on Philips products
  • Meals: Free drinks and low prices in our canteen and Café Philistro
  • Culture: Informal culture, a paid day for voluntary work, various team/cultural activities (on sustainability, diversity, …), etc.
How We Work Together

We believe that we achieve better results when we work together rather than apart. For this role this means to be on‑site at least 3 days a week.

About Philips

We are a health technology company. We built our entire company around the belief that every human matters, and we won’t stop until everybody everywhere has access to the quality healthcare that we all deserve. With patient safety and Quality as our fundamental premise, we focus on regulatory requirements and quality standards in our daily work. Do the work of your life to help the lives of others.

  • Learn more about our business
  • Discover our rich and exciting history
  • Learn more about our purpose

If you’re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our commitment to diversity and inclusion here.

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