Proficiency in Python and SQL programming languages., Strong skills in data visualization and dashboard creation., Excellent analytical skills with attention to detail and accuracy., Ability to communicate findings effectively in English..
Key responsibilities:
Create and maintain data visualization tools and dashboards.
Analyze data using statistical techniques to interpret results.
Identify trends and patterns in complex data sets and suggest improvements.
Collaborate with team members on new data projects.
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We are democratizing the payments industry in Brazil, by empowering entrepreneurs through technological, inclusive, and life-changing solutions.
Based in Brazil, CloudWalk is a high-end global payment network built on modern technology and proprietary blockchain, focused in bringing a revolution to the payment ecosystem for small and medium-sized businesses. As a unicorn, the company has provided its customers with more than R$ 1 billion in savings by charging fair fees on its transactions and is now present in more than 300.000 businesses across 5.000 brazilian cities.
With investors such as the Valor Capital Group, HIVE Ventures and Coatue, the company has already raised US$ 365.5 million in investments and R$3.4 billion in FDICs for anticipation of receivables in its network of financial solutions. In 2022, it was the only brazilian fintech to be featured in the "The Retail Tech 100" ranking by CB Insights, on the "Protection Solutions for Payments and Frauds".
We are not just another fintech unicorn. We are a pack of dreamers, makers, and tech enthusiasts building the future of payments. With millions of happy customers and a hunger for innovation, we're now expanding our neural network - literally and metaphorically.
About the role:
Data without context is just a set of disconnected facts, meaningless points. To be useful, data needs to be converted into actionable knowledge. It needs to be intertwined into a bigger picture, associated with a hypothesis that needs to be solved. To do this we need an investigative sense, analytical experience and, above all, a curious mind.
CloudWalk wants to change how money is defined and used, and for that we need people that can navigate through uncharted waters of chaotic data. People that want to fight against this isomorphic world are all immersed into searching for new meanings, new possibilities.
We are looking for someone to analyze and transform data from different origins; to generate reports, create tools and propose insights. Someone that will act as a bridge between the company Data Scientists and the business area.
What You'll Be Doing:
Create and maintain data visualization and dashboards tools
Interpret data, analyze results using statistical techniques
Identify, analyze, and interpret trends or patterns in complex data sets
Filter and “clean” data from different sources
Locate and define new process improvement opportunities
Suggest and engage in team collaborations for novel projects
What You Need to Succeed:
Knowledge of programming languages, especially Python and SQL
Solid Data Visualization skills to create charts and dashboards
Strong analytical skills, ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
Adept at queries, report writing and presenting findings
AI Skills to analyse data and optimize your process
Ability to communicate and debate in English.
Nice to Have:
Experience or interest in Machine Learning
Experience with the financial or payments industry
Web Scraping skills
Ability to work with dirty data
Knowledge of BI tools such as Metabase or Tableau
Experience with Cloud platforms like GCP
Join us at CloudWalk, where we’re not just engineering solutions; we’re building a smarter, AI-driven future for payments—together.
By applying for this position, your data will be processed as per Cloudwalk's Privacy Policy that you can read here in Portuguese and here in English.
Required profile
Experience
Spoken language(s):
English
Check out the description to know which languages are mandatory.