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HEHelloFresh

Senior BI Analyst - Packaging Optimization & Insights(m/w/x)

Berlin
Full-timeWith Home OfficeSenior
AI/ML
Data Science
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Shaping data strategy and developing a team for global packaging procurement and optimization at a tech powerhouse. Strong SQL proficiency and Tableau dashboard building experience required. Berlin relocation support, German language learning budget, exclusive product discounts.

Requirements

  • Bachelor's or Master's degree in Science, Engineering, Business Analytics, Data Science, or related field
  • Several years of experience in data analytics, business intelligence, or similar analytical role
  • Strong proficiency in SQL
  • Experience building dashboards in Tableau or similar BI tools
  • Advanced skills in Google Workspace and/or MS Office tools
  • Experience with automation tools (e.g., Google Apps Script, Python) (plus)
  • Experience leveraging AI and automation tools (e.g., machine learning models, predictive analytics, Generative AI tools)
  • Strong analytical thinking
  • Ability to structure ambiguous problems and translate into data-driven solutions
  • Strong experience collaborating with cross-functional stakeholders
  • Communication of insights to technical and non-technical audiences
  • Entrepreneurial mindset
  • Proactive, ownership-driven approach
  • Comfort working in fast-changing, international environment
  • Fluent English (written and spoken)

Tasks

  • Act as the primary data partner for the International Packaging team.
  • Lead and develop the Packaging Data team.
  • Set clear team priorities.
  • Foster analytical excellence.
  • Evolve the Packaging Data roadmap.
  • Translate complex business challenges.
  • Deliver actionable, high-impact insights.
  • Support strategic decision-making.
  • Ensure transparency of cost drivers.
  • Ensure transparency of operational performance.
  • Ensure transparency of packaging optimization opportunities.
  • Present findings clearly to all stakeholders.
  • Conduct deep-dive and exploratory analyses.
  • Analyze purchasing, SKU, operational, and complaint datasets.
  • Identify trends, risks, and performance levers.
  • Develop and refine KPIs for procurement efficiency.
  • Develop and refine KPIs for packaging quality.
  • Develop and refine KPIs for cost performance.
  • Analyze customer complaint trends.
  • Analyze raw material indices.
  • Anticipate market developments and performance risks.
  • Identify improvement opportunities across sourcing, quality, and supply chain.
  • Conduct data-driven experimentation.
  • Design, build, and maintain scalable dashboards.
  • Design, build, and maintain automated reporting solutions.
  • Collaborate with data analysts, engineers, and scientists.
  • Develop robust, high-standard data products.
  • Improve and optimize data pipelines.
  • Improve and optimize data structures.
  • Improve and optimize reporting frameworks.
  • Ensure scalability and reliability.
  • Automate recurring analyses and reporting.
  • Increase team efficiency.
  • Identify AI and advanced analytics use cases.
  • Prioritize AI and advanced analytics use cases.
  • Implement AI and advanced analytics use cases.
  • Generate measurable business impact.
  • Partner with Analytics and Engineering teams.
  • Integrate scalable machine learning solutions.
  • Integrate automation solutions.
  • Explore generative AI and automation tools.
  • Improve analytical workflows.
  • Improve business decision-making.
  • Ensure high data quality and integrity across packaging datasets.
  • Support SKU data management.
  • Manage packaging price updates in ordering systems.
  • Ensure reliable budgeting and reporting.
  • Establish clear documentation standards.
  • Establish transparency standards for Packaging Data processes.

Work Experience

  • approx. 4 - 6 years

Education

  • Bachelor's degreeOR
  • Master's degree

Languages

  • English – Business Fluent

Tools & Technologies

  • SQL
  • Tableau
  • Google Workspace
  • MS Office
  • Google Apps Script
  • Python
  • AI
  • Generative AI tools

Benefits

Other Benefits

  • Berlin relocation support
  • HelloFresh Academy access

Corporate Discounts

  • Exclusive HelloFresh discounts

Free or Subsidized Food

  • Office meals

Learning & Development

  • Annual learning & development budget
  • German language learning budget

Mental Health Support

  • Mental health support
  • Wellbeing platforms (Headspace, Spill)

Parking & Commuter Benefits

  • Transportation perks

Family Support

  • Working-parent-friendly benefits

Healthcare & Fitness

  • 24/7 gym access

Workation & Sabbatical

  • Sabbatical leave options
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of HelloFresh and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.

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