greenteg AG is hiring a Strategic Business Analyst (m/w/d) to support the CORE Business Unit and the wider company in data-driven decision making. In this 80-100% role, you will focus on three key areas: Marketing & eComm, Business Development, and Operations, turning data into actionable insights.

What You'll Do

Maintain and further develop the marketing attribution model.
Establish customer insight & segmentation approaches to inform acquisition & retention strategies.
Develop further reporting on KPIs such as off-site engagement, traffic, site funnel metrics, revenue, sell-through.
Establish and monitor KPI drivers at the athlete, channel, campaign or geography levels.
Coordinate market research studies and analyse resulting data to inform business strategy on areas such as product integration.
Analyse various key business decisions.
Review and report on B2B opportunities based on internal and external analysis.
Maintain and enhance the inventory planning and tracking system, ensuring accurate, timely data for supply chain visibility and decision-making.
Lead product demand forecasting and scenario modelling, using historical data and market trends to support strategic planning.
Evaluate supply chain and operational solutions, identifying opportunities for cost savings, efficiency, and risk mitigation.
Conduct financial analysis of product and inventory performance, including turnover, aging, margin contribution, and cost-to-serve metrics.

What We're Looking For

Strong analytical, data modelling and interpretation skills.
Proficiency in tools such as Excel (advanced), Google Sheets, Power BI, or similar analytics platforms.
Experience working with large datasets and creating actionable business insights.
Ability to identify performance drivers (e.g., inventory turnover, campaign ROI, sell-through rates) across various business dimensions (product, channel, region).
Hands-on experience with business intelligence, inventory planning or reporting tools, familiarity with ERP systems.
Experience in forecasting and scenario planning, comfortable applying statistical and trend-based forecasting models.
Solid understanding of financial and operational metrics.
Experience conducting cost analysis, margin evaluation, or performance comparisons.
Previous exposure to P&L ownership, cost-benefit analyses, or budget modelling is highly desirable.
Excellent communication and stakeholder management skills.
Fluency in English (written and spoken).

Nice to Have

Bachelor’s or Master’s degree in Business Analytics, Operations or a related field.
Previous experience in a manufacturing, logistics, or product-led environment.
Programming or automation skills (Python, SQL, VBA).
Familiarity with analysing product usage analytics (e.g., app interaction or engagement metrics) in collaboration with data science or product teams.
Experience with Shopify, GA4, attribution methodologies or AB-testing.
Interest in endurance sports.