Aktuelle Jobs im Zusammenhang mit Senior Data Analyst for Retail Insights - Köln, Nordrhein-Westfalen - PENNY


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  • Köln, Nordrhein-Westfalen, Deutschland Redcare Pharmacy Vollzeit

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  • Data Analyst

    vor 1 Monat


    Köln, Nordrhein-Westfalen, Deutschland Marmon Foodservice Technologies Europe GmbH Vollzeit

    Job Title: Data AnalystMarmon Foodservice Technologies Europe GmbH is seeking a highly skilled Data Analyst to join our EMEA IT team. As a key member of our team, you will be responsible for developing and implementing data analysis, data collection systems, and business insights and solutions based on data sourced analysis, visualizations, and data...

Senior Data Analyst for Retail Insights

vor 3 Monaten


Köln, Nordrhein-Westfalen, Deutschland PENNY Vollzeit

Location: Remote | Employment Type: Full-time, Permanent | Job-ID: 829295

Our Vision:

As part of the Analytics division at PENNY, we are integrated within the Customer, Analytics & Technology sector, aiming to consolidate all strategic, analytical, and business-supporting functions under one umbrella. Our division is undergoing an exciting transformation, with the goal of embedding Advanced Analytics and Artificial Intelligence as key value drivers in all significant business decisions. Agile methodologies with cross-functional teams create the ideal environment to advance the development of analytical products and use cases. Join us in elevating AA & AI in the retail grocery sector.

Your Impact:
Are you eager to make a significant impact with your ideas and innovations? Do you enjoy logical reasoning and tackling complex challenges? As a (Senior) Data Analyst at PENNY, you will play a crucial role in shaping the shopping experience for millions of customers, addressing intricate analytical questions.

  • Delivering Value: As a (Senior) Data Analyst, you will independently drive exciting and challenging Advanced Analytics projects in the grocery sector, optimizing decision-making processes sustainably while taking a leading role in the Data Science strategy and unlocking business potential.
  • Managing the Product Lifecycle: You will oversee the end-to-end development and deployment of complex models and machine learning pipelines for use cases in forecasting, classification, recommendation, and scoring, ensuring continuous quality control.
  • Keeping the Big Picture in Mind: You will manage structured and unstructured data across various database systems (e.g., GCP/BigQuery, Snowflake) and analysis frameworks (e.g., Hadoop/Spark).
  • Collaborating Effectively: You will work collaboratively in agile, interdisciplinary teams to develop analytical products and proactively engage with the business and internal stakeholders to transform data into actionable insights.
  • Leading by Example: You will provide technical guidance and coaching to junior colleagues, developing standards and ensuring best practices in methodology and coding are applied.

What We Value:

  • Your Personality: Your strong analytical and conceptual thinking skills, combined with excellent communication abilities—especially with non-technical colleagues—and your passion for data analysis.
  • Your Ability: Quickly grasping new and challenging business questions and responding with tailored analytical models.
  • Your Service Orientation: A high level of service and team orientation, enjoyment in working within an agile and dynamic environment, and staying updated on technologies and developments.
  • Your Education: A completed Master’s degree related to Data Science/Analytics (e.g., Business Informatics, Statistics, Econometrics, Computer Science, Mathematics, Physics, etc.), preferably with a business context and/or a PhD.
  • Your Experience: Proven practical experience in data analysis and Data Science/Big Data projects, preferably in cloud environments, along with expertise in developing and deploying analytical software solutions throughout the entire product lifecycle, particularly in the production and monitoring of ML models.
  • Your Programming Skills: Proficient programming skills with practical experience in Python and SQL, familiarity with common Data Science libraries and tools such as scikit-learn, pandas, Matplotlib, and Jupyter, and experience with Big Data frameworks like Apache Spark.
  • Additional Skills: Knowledge of professional software development methods, including version control (Git), CI/CD, and containerization (Kubernetes) is a plus.

What We Offer:
PENNY, as one of Europe’s largest retail and tourism companies, provides unique opportunities for those looking to make a difference. Discover a relatable employer that grants you trust, allows for creative freedom, and fosters innovation and fresh ideas through flexible structures. Those who work with us and make significant contributions can expect:

  • Competitive Compensation: Including special benefits such as holiday and Christmas bonuses, asset-building benefits, company pension schemes, cafeteria subsidies, and discounts on public transport.
  • Employee Discounts: At PENNY and other affiliated brands.
  • Work-Life Balance: Flexible working hours without core times, remote work options, and support for childcare and eldercare.
  • Personal Development: Access to extensive seminar offerings, specialized academies, tech talks, e-learning, and participation in conferences and hackathons.
  • Health Management: Including preventive health check-ups, sports, health, and cooking courses.
  • Creative Freedom: Involvement in selecting algorithms, analytical techniques, and technologies, along with independent work on exciting questions from various business areas (Supply Chain, Logistics, Marketing, Customer Service).
  • Agile Environment: Collaboration with agile development teams in a Big Data context.
  • Networking Opportunities: Company-wide networks at PENNY, such as our LGBTIQ network and women's network for discussions around career and personal development.

Learn more about the daily life of a Data Analyst at PENNY.

For additional information about the Analytics division, please visit our website.