Working Student People Analytics (m/f/x) at Scalable GmbH

Berlin, , Germany -

Full Time

Start Date

Immediate

Expiry Date

12 Oct, 26

Salary

0.0

Posted On

14 Jul, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

People Analytics, Data Integrity, HR Metrics, Data Visualization, ETL Processes, Excel, Google Sheets, SQL, Python, HR System Automation, English Fluency, Stakeholder Communication

Industry

Banking

Description

Company Description Scalable Capital is a leading digital investment and banking platform with a full banking licence, empowering people across Europe to shape their own finances. Scalable Broker makes it easy and affordable for clients to invest professionally in stocks, ETFs, cryptocurrencies, and derivatives, as well as set up savings plans. Scalable Wealth, the digital wealth management service, offers clients professional investment in ETF portfolios, and is also adopted as a white-label solution by banks and other B2B partners. The company’s offerings are rounded off by attractive interest rates, loans, and private equity. With the European Investor Exchange, Scalable Capital offers an exchange specifically for retail investors. Over one million clients have already entrusted more than €30 billion to the platform. Founded in 2014, Scalable Capital now employs over 700 people across Munich, Berlin, Vienna, Milan, and London. Together with the founding and management team, including Erik Podzuweit and Florian Prucker, they are working on a new generation of financial services. Visit our finance blog or check out our Social Media channels to find out what our Expert Teams have to say. Our Company Values guide us every day in how we work and collaborate. To learn more about them, you can find our values here (English). Job Description Support the entire lifecycle of People Operations processes (onboarding, monitoring, offboarding) by ensuring data integrity and compliance with internal policies. Partner with the People Operations Lead to identify manual workflows and support the automation of daily People Operations tasks and HR processes. Support the central monitoring, maintenance, and reporting of key HR metrics and people data across various internal departments. Assist in maintaining high-quality documentation and building data visualizations or dashboards to track departmental performance. Support the implementation, maintenance, and continuous development of our People Operations and HR data frameworks. Qualifications Currently enrolled for at least one more year as a student in Business Administration, HR Management, Economics, Statistics or a comparable program with a strong focus on analytics. Based in Berlin or Munich. Strong attention to detail with a keen eye for identifying trends, outliers, and deviations in HR and people-related data. Basic understanding of data ETL (Extract, Transform, Load) processes and a strong interest in automating manual People Operations workflows. Excellent skills in Excel / Google Sheets, particularly with pivot tables, logical/statistical functions, and data visualization. Knowledge of SQL, Python, or experience with HR system automation tools (e.g., APIs, integration platforms) is a major plus. Fluent in English (German is an advantage) with the ability to communicate data insights clearly to stakeholders. Additional Information Be part of one of the fastest-growing and most visible Fintech startups in Europe, creating innovative services that have a substantial impact on the lives of our customers The ability to work with an international, diverse, inclusive, and ever-growing team that loves creating the best products for our clients Learn and grow by joining our in-house knowledge sharing sessions Work productively with the latest hardware and tools Free subscription to the PRIME+ Broker

Responsibilities

Support the lifecycle of People Operations processes and automate manual HR workflows to improve efficiency. Maintain HR metrics, data frameworks, and create dashboards to track departmental performance.