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Business Analyst

Delivery Hero — Germany · Posted ~1 day ago

Mid Full-time Visa History ✓

Skills

SQL large-scale data analysis business analysis data-driven decision making customer behavior analysis forecasting scenario modeling data visualization AI

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Summary

Join a data-driven team where you’ll turn large datasets into actionable business recommendations. You’ll independently develop and optimize SQL queries, analyze growth, revenue, profitability and customer behavior, identify performance gaps and opportunities, and support forecasting and scenario modeling. An interest in applying AI to scalable analytics is a strong advantage.

Highlights

Use large datasets to influence commercial, marketing, operations, and product decisions. The role combines hands-on SQL, advanced business analysis, forecasting, customer analytics, and opportunities to use AI to make analytics faster and more scalable.

Description

Job DescriptionWe are looking for a curious and analytical Business Analyst who can work with large datasets, translate business questions into structured analyses, and turn insights into actionable recommendations. The role will work closely with Commercial, Marketing, Operations, Product, and other teams to evaluate performance, identify opportunities, and support data-driven decisions. Strong hands-on SQL skills are essential, along with an interest in using AI to make analytics faster and more scalable. Analyse business performance across growth, customer behaviour, revenue, profitability, marketing, and operations.Independently write and optimise SQL queries to extract and analyse large datasets.Conduct deep dives to identify trends, performance gaps, growth opportunities, and key business drivers.Analyse customer behaviour across acquisition, retention, churn, frequency, cohorts, and segmentation.Support business cases, forecasting, scenario modelling, and impact estimation for new initiatives.Build dashboards and recurring reports using BI and visualisation tools.Partner with cross-functional teams to define KPIs and provide clear, commercially relevant recommendations.Ensure accuracy and reliability of analytical outputs.AI in Analytics The candidate should actively use AI as part of the analytics workflow, including:Accelerating SQL development, debugging, and analysis.Structuring analytical approaches and generating hypotheses.Automating repetitive reporting and analytical tasks.Improving insight generation, documentation, and stakeholder communication.AI should enhance analytical thinking, not replace it.