Business Data Specialist
Sao Paulo
Adyen
End-to-end payments, data, and financial management in one solution. Meet the financial technology platform that helps you realize your ambitions faster.This is Adyen
We took an unobvious approach to starting a payments company, building a platform from scratch. Today, we're the payments platform of choice for the world's brightest companies. Speed is the foundation of our company. We think fast. We work fast. We launch fast. We are honest, direct, and try to have some fun too. We’re creating our own path, with a global team driving sustainable growth. To maintain our momentum, we need people to join us in finding new ways of solving our unique challenges - people like you.
Business Data Specialist
Adyen is looking for a Senior Data Specialist to join our Data & Strategy team in São Paulo in Brazil. The ideal candidate is someone who is able to approach and understand complex problems in a structured manner, while converting the results into a compelling and actionable story for internal or external stakeholders.
This role requires a blend of skills including an analytical mindset, operational acumen, initiative management, creativity, and an overall desire to be an accelerator for our business.
Whether you come from the payments space or not, we need you to be an independent and enthusiastic thinker who is curious about how the payments ecosystem works and how that fits in with global commerce.
What You’ll do
- Determine the necessary data required to solve a wide variety of business problems; extract required data, and draw conclusions and recommendations. Derive insights on product performance through data analysis.
- Support Product teams to customize specific analysis for LATAM local needs. Partner with the acquiring team to shape next generation BI and data infrastructure. Build self service tools to enable business users.
- Run strategic studies to map revenue opportunities with clients and products (support leaders in business decisions making)
- Support OKR management, acting as key data stakeholder making sure we have the right metrics and analysis to help teams make decisions and reach expected goals
Who You Are
- Strong quantitative / detail-oriented background;
- Experience with data languages, preferably SQL / Python / Spark;
- Enjoys solving complex problems in a structured manner;
- Strong written / verbal communication skills;
- Ability to operate comfortably within a complex global environment
- Fluent in conversational and written English on a professional level.
It Is a Strong Plus Skills If You Have
- Related experience in Payments, Card, Wallet, or Banking;
- Strong understanding of the payments landscape, with the critical thinking skills to comprehend and interpret emerging trends;
Our Diversity, Equity and Inclusion commitments
Our unobvious approach is a product of our diverse perspectives. This diversity of backgrounds, cultures, and perspectives is essential in helping us maintain our momentum. Our business and technical challenges are unique, we need as many different voices as possible to join us in solving them - voices like yours. So no matter where you’re from, who you love, or what you believe in, we welcome you to be your true self at Adyen.
Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does it sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application.
Who We Are
Adyen is the payments platform of choice for the world's leading companies, delivering frictionless payments across online, mobile and in-store channels. It is the only provider of a modern end-to-end infrastructure, connecting directly to Visa, Mastercard, and consumers' globally preferred payment methods. With offices around the world, Adyen serves nine of the 10 largest U.S. internet companies and many worldwide retailers. Customers include Facebook, Uber, L'Oreal, Casper, Bonobos, and Spotify.
Ready to meet us?
If you are excited about this role, apply by clicking the below link. We can’t wait to meet you!
Tags: Banking Data analysis Python Spark SQL
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