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Specialist, Analytics & Data Treasury

Bitpanda·Worldwide·Vienna, Vienna, Austria·mid
pythonsql
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Who we are We simplify wealth creation. Founded in 2014 in Vienna, Austria by Eric Demuth, Paul Klanschek and Christian Trummer, we’re here to help people trust themselves enough to build their financial freedom — for now and the future. Our user-friendly, trade-everything platform empowers both first-time investors and seasoned experts to invest in the cryptocurrencies, crypto indices, stocks*, precious metals and commodities* they want — with any sized budget, 24/7. Our global team works across different cultures and time zones, bringing our products to more than 7 million customers, making us one of Europe’s safest and most secure platforms that powers modern investing. Headquartered in Austria but operating across Europe, our products are built by fast-moving, talented, “roll-up-your-sleeves-and-make-it-happen” kind of people. It’s these diverse perspectives and innovative minds operating as ONE TEAM that keep Bitpanda at the cutting edge of our industry. So if you’re someone who thinks big, moves fast and wants to make an impact right from day one, then get ready to join our industry-changing team. Let’s go! Your mission: We are seeking a highly motivated and detail-oriented professional to join our Asset & Liability Management (ALM) Team. This role focuses on developing impactful dashboards using Metabase, automating ALM reporting processes, and building efficient scripts for specific data queries and transformations. You will play a key part in enabling data-driven decision-making for the ALM function by designing scalable data solutions and visualizations. What you’ll do: Design, develop, and maintain interactive dashboards and reports in Metabase for ALM reporting and analysis Automate ALM reporting processes to ensure timely and accurate delivery of critical reports Write efficient, scalable scripts (in Python, SQL, etc.) to extract, clean, and manipulate large datasets from various sources Collaborate with ALM analysts and stakeholders to understand busin

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