Business Data Analyst

at  SwissBorg

At SwissBorg, our mission is to build a spectrum of investment experiences that help people redefine wealth. Our app has over 790,000+ verified users, offering the best price and liquidity across 16 fiat currencies to buy 90+ cryptocurrencies. Users can earn yield, diversify their portfolios with our themed crypto bundles, and gain access to exclusive alpha investment opportunities. Our community is rapidly expanding, with more than $1.4 billion in assets held in the app and over 51,000 premium users.
Join us in shaping the future of finance, pushing the boundaries of what’s possible, and transforming the way people manage their wealth. Whether you’re in Austria or Taiwan, and whether your portfolio is worth one dollar or a million, SwissBorg provides the best tools to learn about digital currencies and manage your wealth effectively.
Join the team to help revolutionise the world together!
We are seeking a talented and driven Business Data Analyst to join our dynamic team and play a crucial role in shaping our business strategies and driving growth.
As a Business Data Analyst, you will be at the forefront of decision-making, unlocking valuable insights from data and transforming them into actionable recommendations. If you are passionate about data-driven decision-making, problem-solving, and thrive in a collaborative environment, we want to hear from you!

WHY YOU SHOULD APPLY:

• Freedom to build the company of your dreams
• Learn with (super cool) experts in finance, engineering, AI, psychology and business
• BORG bonus based on our meritocratic system
• Flexible working hours
• 25 working days of vacation + local holidays

• We’ll provide you with a MacBook and a cutting edge tech stack to help you do your best work

• Annual company and team retreats - We’d love to see you at the next one!

• Continuous learning and development opportunities

If our job description speaks to you, but you don’t feel like you meet 100% of the requirements, apply anyway! You may have skills we didn’t even know we needed.
At SwissBorg, we embrace diversity. We strongly believe that getting the best outcome requires different perspectives and backgrounds. We’re committed to openness, curiosity and creating an inclusive culture because we know that diverse teams build better products and generate better ideas. We strongly encourage applications from everyone!
Familiarising yourself with our product is crucial for anyone looking to join our team. Please make sure to test the app, explore our blog for the latest developments, and follow our Careers Page, LinkedIn, and X for regular company updates

• Identify Business Opportunities: Take the lead in exploring new business opportunities for our products and services. Utilise your analytical skills to generate hypotheses and assess the potential benefits of each opportunity, providing valuable insights and driving strategic decisions.
• App User Activity Analysis: Dive deep into user activity within our app to uncover meaningful patterns, correlations, or bottlenecks. Your keen eye for detail will be essential in identifying areas for improvement and optimising user experiences.
• Data-Driven Insights: Leverage various data analysis techniques to transform raw data into actionable insights. Your ability to draw meaningful conclusions will be instrumental in guiding the company towards growth and success.
• Collaboration and Implementation: Work closely with cross-functional teams to implement and measure the impact of the most promising opportunities. Your role as a liaison between the data team and business squads will be essential in ensuring seamless communication and execution.
• Data Ambassador: Be the primary point of contact and ambassador for the data team within specific business squads. Your expertise will play a crucial role in aligning data-related objectives with overall business goals.
• Continuous Learning: Exhibit a hunger for knowledge and continuously strive to ask relevant and insightful questions. Embrace new tools and methodologies to enhance data analysis processes.