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 6 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 Drive data driven decision making at Bitpanda by helping product, engineering, operations, finance and so many more teams collect, analyse and understand key metrics that drive growth that impacts millions of end users globally. What you’ll do
Engage and collaborate with Finance, Product and Operations to identify reporting needs and potential improvements. Enable analysts across the whole organisation and streamline dashboard creation. Contribute to the ongoing design of our self service BI visualisation platform and core data model to support advanced analytics and business intelligence. Unify business intelligence, data engineering and business stakeholders to build out data sets and models relevant to their core businesses. Ensure high data quality of the core data layer with dbt models with Python and SQL.
Who you are
Advanced experience with BI Tools (Metabase, Tableau or similar), SQL, Git, dbt and Python Strong communication skills and the ability to work, learn and grow across teams and functions. Solid experience with data-modelling (dimensional modelling, OBT or star/snowflake schemas), data quality frameworks and data visualisation tools. 5+ years of professional analytics engineering and/or business intelligence experience with a passion for FinTech. Bachelor/Master degree in computer science, business informatics, applied mathematics and statistics or similar. What’s in it for you
Flexibility to work where you thrive – Enjoy the freedom of our Hybrid working model, combining onsite collaboration and remote work, with an additional 25 days per year to work from a city or country of your choice. Reward for your impact – Receive a competitive total compensation package aligned with Bitpanda’s pay-for-impact policy, including participation in our stock option plan. Support for your mental wellbeing – Access confidential coaching, counselling, and mental health resources whenever you need them through OpenUP. Time to recharge – Take extra time off to rest, reset, and recharge, with 3 additional days off in 2026 to prioritise your wellbeing. Continuous learning and growth – Grow your skills and stay ahead in your career with unlimited access to Udemy’s library of online courses at your own pace. Exclusive perks and rewards – Enjoy discounts, rewards, and perks from partners worldwide across life>
.…and even more location-specific benefits designed to make life at Bitpanda even more rewarding wherever you are. Above all, you will have the opportunity to learn and grow as part of Bitpanda’s incredible journey towards being Europe’s future #1 investment platform. Bitpanda is committed to fostering a fair and equal environment based on trust and mutual respect. We believe that a diverse and inclusive workplace is paramount to our success and we are committed to building a team that represents a wide variety of backgrounds, perspectives, and skills. * These benefits may be adjusted at Bitpanda’s discretion and do not apply to our internships and exceptions to our Hybrid Working policy apply to teams with shift schedules or for folks whose roles require them to be in-office (think: Workplaces team or IT).