Aktuelle Jobs im Zusammenhang mit Lead Data Insights Analyst - Köln, Nordrhein-Westfalen - PENNY

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Lead Data Insights Analyst

vor 3 Monaten


Köln, Nordrhein-Westfalen, Deutschland PENNY Vollzeit

Location: 50933 Köln | Employment Type: Full-time, fixed-term | Job-ID: 855958

At PENNY International, we are shaping the future of our five national subsidiaries across Europe. Together with local teams, we strive daily to enhance our customers' shopping experience and delight them with regional products at competitive prices. As a business unit of the REWE Group, we are represented by approximately 100 employees in Köln.

Satisfied customers and thriving markets are our goals. Our ambition in the Data Analytics Team of strategic marketing at PENNY International is to optimize the shopping experience of our customers based on our wealth of data. Tackle strategic marketing challenges with data and innovative analytical solutions, providing tailored recommendations for our customers throughout their lifecycle.

Make a significant impact with us.

Delivering Value: As a Data Analyst, you will lead exciting and challenging Advanced Analytics projects within the PENNY subsidiaries, driving sustainable improvements in decision-making processes and contributing to the establishment of analytical products that unlock business potential.

Integrating Analytics into Business: You will work closely with marketing colleagues, identifying analytical needs and proactively developing actionable recommendations based on data analyses, which you will present and communicate at various management levels.

Driving Innovation: You will challenge the status quo, enhance reporting processes, and continuously assess both the need for and the possibility of automating these processes. You will always be on the lookout for opportunities to implement improved or entirely new analytical methods.

Empowering Colleagues: You will collaborate across disciplines with the PENNY subsidiaries on the end-to-end analytics process in an international environment, promoting self-empowerment through knowledge transfer.

Become a part of our team.

  • Your excellent analytical and conceptual thinking skills, combined with strong communication abilities—especially with colleagues from non-technical backgrounds—along with your passion for data analysis, will impress us.
  • You possess the ability to quickly grasp new challenging business questions and respond flexibly with tailored analytical models.
  • A completed Bachelor’s or Master’s degree (e.g., in Computer Science, Mathematics, Natural Sciences, Business Administration, etc.) with a quantitative focus, ideally complemented by at least 4 years of experience in a similar role.
  • Your strong programming skills in Python (and/or) R and SQL, preferably with practical experience, round out your profile, along with your familiarity with common Data Science libraries & tools (e.g., Scikit-learn, Pandas, or NumPy) and professional software development, including version control through Git and CI/CD.
  • You demonstrate a high level of service and team orientation, enjoy working in an agile and dynamic environment, and stay updated on new technologies and developments.
  • Proficient communication skills in both German and English are essential.

Look forward to numerous benefits.

  • An attractive compensation package: including special benefits such as vacation and Christmas bonuses, asset-building benefits, company pension schemes, subsidies for the cafeteria and job tickets, or advantages in bicycle leasing.
  • Employee discounts: 5% at PENNY and REWE, 4% at toom Baumarkt, 2-4% discount on DER Touristik travel, as well as exclusive corporate benefits.
  • A secure employer: you will receive a permanent employment contract.
  • Work-life balance: flexible working hours and remote work options, time-off models, and support in finding childcare and eldercare.
  • Our health management: preventive check-ups, free sports courses, and nutrition tips through our health portal, as well as external counseling options for professional or personal challenges.
  • Professional development: with comprehensive seminar offerings (in-person, online, e-learning), specific development programs/qualifications, and opportunities for advancement within the REWE Group.