Analytics Engineer, dbt (Business Intelligence)
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About the role
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 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.
Responsibilities
- Contribute to the ongoing design of our 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.
- Engage and collaborate with Finance and Operations to identify reporting needs and potential improvements.
- Ensure high data quality of the core data layer with dbt models with Python and SQL.
- Enable analysts across the whole organisation and streamline dashboard creation.
Requirements
- Advanced experience with SQL, dbt and Python, hands-on experience with Airflow and BI Tools (Metabase, Tableau or similar) is considered a plus.
- 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.
- Around three 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.
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