WORKING STUDENT DATA ANALYST

As a Working Student in Quantitative Analysis, you will be an integral part of our IT Market Data & Analytics Team, reporting directly to the Head of Market Data & Analytics.

From day one, you will engage with our internationally renowned client base: including Multinational Corporates, Institutional Clients, and Banks and gain hands-on experience in the FinTech and Foreign Exchange (FX) markets.

You will play a key role in data empowerment, working across departments to support the data needs of internal stakeholders, clients, and regulatory bodies. Your contributions will help shape the future of our data analytics capabilities and support the growth of our business.

Your Responsibilities

• Data empowerment: work across departmental teams to support the data needs of internal partners & stakeholders, clients and regulatory bodies
• Data automation: assist in optimizing internal data processes and workflows
• Data self-service: build Tableau dashboards to deliver insights and analytics and drive various "power users" initiatives
• Assist with various team projects including: grow the 360T Vantage analytics suite for buy and sell-side clients, build out data science capabilities for the Active Markets business and migrate internal data tools to the cloud
• Build effective working relationships with key business stakeholders including C-suite executives, data engineers and other partners across the firm to achieve common data-driven goals and targets
• Maintain knowledge management tools; produce product documentation and marketing collateral; hold knowledge sharing sessions with peers and partner teams, We offer an outstanding opportunity for a highly motivated individual to participate in the growth of a successful technology company in the financial sector. The position is based in Frankfurt am Main and is available immediately.

Do you have experience in Tableau?, Do you have a Master's degree?, * Passionate about data: you understand the value of data and the benefits and commercial opportunities it offers

• Prior experience or good understanding of business intelligence techniques including data modeling, data collection, data mining, data analysis, data visualization and best practices
• Self-starter: be eager to learn and have the drive and will to succeed
• Excellent communication and data-storytelling skills: use data to tell a story to both technical and business audiences
• Knowledge and experience of SQL is a must (Postgres, Oracle)
• Familiarity with Python, R or Notebooks is an asset
• Hands-on experience delivering business intelligence solutions using Tableau, QlikView, Power BI or other BI tools
• Strong maths and statistics skills from a numerical degree or data science background
• An understanding of how the Foreign Exchange market operates
• Nice to have: some experience working in a highly regulated environment and associated processes
• Nice to have: knowledge of Hadoop, Spark, machine learning, AI