Data Analyst, Go-Live Customer Org Sao Paulo

Riskified; São Paulo; Presencial; BRL 30.000 - 70.000; Tempo integral

Resumo da oferta

Join a forward-thinking company as a Data Analyst, where you'll utilize your analytical skills to provide insights and support for merchants. In this dynamic role, you'll engage with various internal teams and work closely with enterprise clients to enhance their onboarding experience. Your fluency in English and Portuguese will be essential as you navigate complex data and deliver impactful analysis. This innovative firm values collaboration and offers abundant opportunities for personal and professional growth, making it an exciting place to build a meaningful career in the ever-evolving e-commerce landscape.

Qualificações

• 2+ years of experience with SQL and analytical tools.
• Strong analytical skills and ability to work on multiple tasks.

Responsabilidades

• Simulate performance and lead pilots for new merchants.
• Deliver analytic insights for Sales teams and resolve queries.

Conhecimentos

SQL

R

Python

Analytical Skills

Problem Solving

Critical Thinking

Fluency in English

Fluency in Portuguese

Formação académica

Bachelor's degree in Mathematics

Master's degree in Statistics

Degree in Computer Science

Degree in Economics

Degree in Business Administration

Ferramentas

Data Analysis Tools

Descrição da oferta de emprego

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Riskified empowers businesses to unleash ecommerce growth by taking risk off the table. Many of the world’s biggest brands and publicly traded companies selling online rely on Riskified for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention. Developed and managed by the largest team of ecommerce risk analysts, data scientists and researchers, Riskified’s AI-powered fraud and risk intelligence platform analyzes the individual behind each interaction to provide real-time decisions and robust identity-based insights. Riskified is proud to work with incredible companies in virtually all industries including Acer, Gucci, Lorna Jane, GoPro, and many more.

We thrive in a collaborative work setting, alongside great people, to build and enhance products that matter. Abundant opportunities to create and contribute provide us with a sense of purpose that extends beyond ourselves, leaving a lasting impact. These sentiments capture why we choose Riskified every day.

About the Role

We are looking for a business-minded Data Analyst to join our growing team in Brazil. You will become a fraud expert, working closely with many internal teams (Sales, Integrations, Product, Analytics, Data Science etc.), and will be responsible for creating accurate performance projections for Riskified’s merchants.

You’ll leverage your analytical skills and knowledge of our product to provide meaningful insights to our enterprise customers by conducting pilots for each merchant as part of our pre-sale and onboarding process. Occasionally, you will even interact and share analysis directly with merchants.

What You'll Be Doing

• Simulate performance and lead pilots as part of the pre-sale and onboarding of new merchants
• Resolve merchants’ onboarding queries on a day-to-day basis
• Use analytical tools in a high level technical environment
• Share deep analysis conclusions and use sophisticated technical methods to present to both technical and non-technical audiences
• Deliver analytic insights for our Sales teams
• Master the online fraud prevention domain through hands-on analysis of live data in the Riskified platform
• Identify, research, and offer system-wide solutions for common issues

Qualifications

• Fluency (written and verbal) in English and Portuguese required
• 2+ years hands-on work experience with SQL
• 2+ hands-on work experience with R or Python (functions creation, data wrangling)
• Strong analytical skills with complex data
• Experienced problem solver and critical thinker
• Ability to work simultaneously on different tasks and lead multiple projects
• A competitive streak and willingness to go the extra mile to win deals
• Bachelor's or Master's degree - preferably in a highly-quantitative field (i.e. mathematics, statistics, computer science, natural sciences), economics or business administration

*Please submit your CV/Resume in English*