Data Analyst

World; München; Vor Ort; EUR 55.000 - 75.000; Vollzeit

Zusammenfassung

A leading digital asset company in Munich is seeking a Data Analyst to support a growing Data Science team. The role focuses on business intelligence, generating insights through data analysis, and requires extensive experience in data visualization and SQL. Candidates must have a quantitative degree and a passion for high-quality data visualizations. This position offers the opportunity to thrive in a dynamic, data-driven environment.

Qualifikationen

• 4+ years of hands-on work experience as a data analyst.
• Experience in business intelligence and data visualization.
• Good understanding of business economics and financial concepts.

Aufgaben

• Contribute to BI efforts by maintaining and enhancing existing KPIs.
• Work with diverse datasets spanning user behavior and market operations.
• Generate insights through data analysis and reporting.

Kenntnisse

Business Intelligence

Data Visualization

SQL

Python

Data Wrangling

Ausbildung

Bachelor’s degree in a quantitative field

Tools

Metabase

Tableau

Looker

PowerBI

Jobbeschreibung

About the Company

World is a network of real humans, built on privacy-preserving proof-of-human technology, and powered by a globally inclusive financial network that enables the free flow of digital assets for all. It is built to connect, empower, and be owned by everyone.

About the team

The Data Science team is responsible for deriving data-driven insights to support World’s key decisions. Because of our unique growth model of using a global network of Orb Operators to verify individuals’ unique humanness, we require a high-performing Data Science team that is able to manage and analyze large amounts of data generated by our products and operations. World’s privacy-maximizing approach imposes unique restrictions on how data is collected, stored, and used, making data science innovations critical to derive useful insights. We have earned a reputation for our technical expertise, hands-on approach, responsiveness, precision, and impactful solutions.

About the Opportunity

As our first Data Analyst, you will support and collaborate with an existing team of three Data Scientists and a Statistician. You will work alongside the Data Scientists to build data-driven models and generate insights through data analysis and reporting. The role has a strong focus on Business Intelligence, as the Data Science team and its stakeholders rely heavily on BI reporting and data visualization to make key decisions in fast-paced environments. In addition to working closely with the core members of the Data Science team, you will also engage and collaborate with other teams within the broader Data Science & Economics group, including Economics and Fraud & Risk Analytics.

In this role, you will

• Contribute to the BI efforts of the Data Science (DS) team, including maintaining and enhancing existing KPIs and dashboards.
• Work with diverse and exciting datasets spanning the Product space (e.g., user in-app behavior, notifications, experiments), blockchain transactions, and market operations.
• Thrive in a data-driven and scientific environment where every key decision is supported by thorough data analysis.

About You

• Bachelor’s degree in a quantitative field like economics, computer science, statistics, or similar
• 4+ years of hands-on work experience as a data analyst; experience in start-ups or fast paced environments is a plus
• Extensive experience in business intelligence (in particular data visualization); experience with BI tools like Metabase, Tableau, Looker, or PowerBI is a plus
• Passionate about high-quality data visualizations that are accessible to non-experts, maintained with high attention to detail
• Good understanding of business economics and financial concepts; prior experience working with economic/financial data a plus
• Advanced working knowledge of SQL; knowledge of DBT is a plus.
• Programming experience in at least one high-level programming language (e.g., Python)
• Experience in data wrangling needed to transform complex, noisy datasets into a form suitable for analysis
• Must be curious and autonomous in their work, with a strong sense of ownership being essential.
• Practically oriented and “getting-the-job-done” mindset
• Thriving in a fast-paced and continuously evolving environment