Data Analyst (Finance)

Revolut

Brasil

Presencial

BRL 60 000 - 90 000

Tempo integral

Há 3 dias
Torna-te num dos primeiros candidatos

Recebe mais respostas dos empregadores

Envia um currículo específico para a oferta em poucos minutos.

Resumo da oferta

Revolut in Brazil is seeking a Data Analyst to dive into complex data and deliver actionable insights that guide product decisions and risk management.

You will build scalable analytics using Python and SQL, automate reports, and partner with product and engineering teams to drive data-driven changes across our financial services platform.

Qualificações

  • Bachelor's degree in a quantitative field.
  • Impeccable data manipulation and analysis skills with Python and SQL.
  • Fluency in English.
  • Experience in analytical roles within markets-based businesses or treasury/risk contexts is a plus.

Responsabilidades

  • Design and optimize ETL pipelines.
  • Create and maintain aggregated views to simplify data querying.
  • Automate analytics, including risk and performance reporting.
  • Analyze liquidity and cash flow patterns.
  • Provide data-driven insights to product and risk teams.
  • Collaborate with engineers to scale data platforms.

Conhecimentos

Python
SQL
Data analysis
English
Quantitative thinking

Formação académica

Bachelor's degree in quantitative discipline

Descrição da oferta de emprego

About Revolut

People deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products — including spending, saving, investing, exchanging, travelling, and more — help our 75+ million customers get more from their money every day.

People deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products — including spending, saving, investing, exchanging, travelling, and more — help our 75+ million customers get more from their money every day.

As we continue our lightning-fast growth, 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work™. So far, we have 13,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution.

About The Role

Our Data Science team solves complex problems with smart, practical solutions. Data Analysts and Scientists work directly with product teams to uncover insights, guide decisions, and improve how customers experience Revolut. They do this by delivering smart, scalable solutions that move the business forward.

We’re looking for a Data Analyst who can dig into our complex databases, look for the root cause of a problem, and design their own solutions by writing code to implement them.

Up to shape what's next in finance? Let's get in touch.

What You'll Be Doing
  • Working on ETL processes
  • Creating and maintaining new aggregated views and tables to simplify data querying
  • Automating analytics, including P&L attribution, daily risk reporting, and short-term investments performance
  • Performing behavioural liquidity and cash flow analysis
  • Analysing ad-hoc performance enhancements
  • Leading model-based performance optimisation
What You'll Need
  • Experience in an analytical role supporting a markets-based business, or at a major financial institution, asset manager, or liquidity provider within a treasury or risk role (FTP, ALM, IRRB, etc.)
  • A bachelor's degree in a quantitative discipline
  • Impeccable data manipulation and analysis skills with Python and SQL
  • Evidence of solid mathematical and statistics knowledge
  • Fluency in English
Nice to have
  • An advanced degree in a STEM subject
  • To have participated in university Olympiad medal competitions in physics, maths, economics, or programming

Building a global financial super app isn't enough. Our Revoluters are a priority, and that's why in 2021 we launched our inaugural D&I Framework, designed to help us thrive and grow everyday. We're not just doing this because it's the right thing to do. We're doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers. That's why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team.

Obtém a tua avaliação gratuita e confidencial do currículo.
ou arrasta e larga o ficheiro aqui.
Similar jobs

Ofertas semelhantes que vale a pena comparar

Strategy & Operations Manager
Strategy & Operations Manager

Revolut • Brasil

Presencial
BRL 180 000 - 300 000
Finance & Strategy Manager
Finance & Strategy Manager

Revolut • Brasil

Híbrido
BRL 350 000 - 750 000
FinCrime Analyst (Enhanced Due Diligence)
FinCrime Analyst (Enhanced Due Diligence)

Revolut • Brasil

Presencial
BRL 180 000 - 280 000
Strategy & Operations Manager - Hiring Sprint
Strategy & Operations Manager - Hiring Sprint

Revolut • Brasil

Presencial
BRL 250 000 - 420 000
Operating Principal
Operating Principal

Revolut Ltd • Brasil

Híbrido
BRL 250 000 - 420 000
Financial benefits
Work from home or abroad
Revolut Metal subscription
+1
Executive Assistant
Executive Assistant

Revolut • Brasil

Presencial
BRL 150 000 - 190 000
Analytics Engineer
Analytics Engineer

Capgemini • Brasil

Híbrido
BRL 130 000 - 160 000
Competitive salary
Performance-based bonuses
Private Health Insurance
+2
Data Analytics Engineer
Data Analytics Engineer

Ebury • São Paulo

Híbrido
BRL 180 000 - 240 000
Data & Analytics Manager
Data & Analytics Manager

Informa Group Plc. • São Paulo

Presencial
Monthly meal voucher
Transportation voucher
Health insurance
+6
Data Analyst II
Data Analyst II

Brex • São Paulo

Híbrido
BRL 120 000 - 150 000
Up to four weeks of fully remote work per year
Flexible working environment
Hybrid work model