Associate Data Analyst

Company Description

HungerStation is part of the Delivery Hero Group, the world’s pioneering local delivery platform, our mission is to deliver an amazing experience fast, easy, and to your door. We operate in over 70+ countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index.

Job Description

Role Overview

We are looking for a detail-oriented and analytical Associate Data Analyst to support business and product teams with data insights. This role is ideal for someone early in their analytics career who is eager to learn, work closely with cross-functional stakeholders, and grow within a high-impact environment.

You will work with large datasets, build dashboards, support reporting needs, and contribute to data-driven decision-making across teams.

Key Responsibilities

• Extract, clean, and analyze data using SQL and other analytical tools

• Build and maintain dashboards (e.g., Tableau, Power BI, Looker, etc.) to monitor key business metrics

• Support ad-hoc analysis requests from Product, Operations, Marketing, and other stakeholders

• Identify trends, anomalies, and performance improvement opportunities

• Assist in defining KPIs and tracking performance across different initiatives

• Ensure data accuracy and consistency across reports

• Work closely with senior analysts and data engineers to improve data quality and processes

• Translate data findings into clear, actionable insights for non-technical stakeholders

Qualifications

Experience & Background

• 2-3 years of experience in data analysis, business intelligence, or similar role

• Bachelor’s degree in Data Science, Statistics, Mathematics, Engineering, Computer Science, Economics, or a related quantitative field

• Strong academic background is a plus

Technical Skills

• Strong SQL skills (must-have)

• Basic understanding of data modeling concepts

• Experience with Excel / Google Sheets (advanced formulas, pivot tables)

• Exposure to BI tools (Tableau, Power BI, Looker, etc.) is preferred

• Basic understanding of Python or R is a plus

Analytical & Soft Skills

• Strong logical thinking and problem-solving skills

• Ability to work with large datasets and attention to detail

• Good communication skills, able to explain insights in simple business language

• Eagerness to learn and grow in a fast-paced environment

• Ability to manage multiple priorities

Additional Information

What You’ll Gain

• Exposure to high-impact projects across Product, Growth, and Operations
• Opportunity to work in a data-driven tech environment

• Strong mentorship and learning curve

• Career progression within Data & Analytics