Data Analyst - Graphs

CloudWalk; São Paulo; Presencial; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A fintech company in São Paulo is looking for someone to join their Operations team, focusing on graph-based analytical solutions to address customer churn. You will utilize your programming and analytical skills to build and maintain data pipelines, interpret and visualize graphs, and collaborate with a team of Data Analysts and Data Scientists. Fluency in Python and SQL, along with effective communication skills in English and Portuguese is required. A strong analytical mindset and a creative approach to problem-solving are essential for this role.

Qualificações

• Strong analytical skills with attention to detail.
• Ability to communicate effectively in English and Portuguese.
• Adept at report writing and presenting findings.

Responsabilidades

• Identify, design, and implement graph-based analytical solutions.
• Build and maintain pipelines transforming data into graphs.
• Analyze customer interaction networks to detect churn risks.
• Collaborate with Data Analysts and Data Scientists.
• Propose innovative solutions to complex problems.

Conhecimentos

Fluency in Python

Fluency in SQL

Data Visualization

Analytical Skills

Communication Skills

Curiosity and Initiative

Ferramentas

GCP

Neo4j

NetworkX

Descrição da oferta de emprego

About CloudWalk:

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.

As a member of the Operations team, you will be responsible for identifying, designing, and implementing graph-based analytical solutions to understand relational patterns and reduce customer churn. You are expected to have strong analytical skills and a passion for leveraging graph technologies to uncover insights that drive retention strategies. Your mission is to map and analyze customer interaction networks, detecting churn risks through graph models while maintaining high accuracy and relevance. The ideal candidate has critical thinking abilities, proactive problem-solving skills, and hands‑on experience with graph databases, network analysis, and data‑driven methodologies.

What You'll Be Doing

• In this job, you will join our efforts in the application of Network Science to our business.
• You will use your programming skills to build and maintain pipelines that transform vanilla tabular data into informative graphs.
• You will also use your analytical skills to come up with useful graph architectures, interpret graphs, visualize graphs, and experiment with different techniques to find interesting patterns hiding in graph data.
• You will exercise your curiosity and creativity to propose solutions to problems. There's a plethora of tools, libraries, and algorithms that can be used to extract information from networks. Choosing what to use requires research, experimentation, intuition, and initiative.
• You will be part of a team of highly competent Data Analysts and Data Scientists. The ability and willingness to collaborate, participate in open discussions, offer and receive suggestions is essential.
• You will be part of an exploration team inside the Operations department. We take a step back from the day-to-day urgencies and pursue ambitious projects with high impact potential.
• You are expected to complete tasks autonomously, being highly collaborative and self-driven. We expect you to have the curiosity of a child with the responsibility of a grown‑up.

What You Need to Succeed

• Fluency in Python and SQL.
• Initiative to learn, investigate, experiment.
• Communication skills. You should be able to communicate effectively with multiple teams.
• Ability to communicate and debate in English and Portuguese.
• 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.

Nice to have:

• GCP or other cloud computing platform.
• Neo4j or other graph databases.
• NetworkX/cuGraph or other python libraries for graph manipulation.