Data Operations Analyst

Company Overview

If you see technology as a way to smooth your path in life, our team does too: Your Path, Our Journey.

We believe in technology that connects talented people who embrace diversity to create and share paths we don't even know about (yet!). We work to generate value not only for our users but, above all, for the communities we serve and for society as a whole, making every day better for everyone with mobility and delivery services (99) or digital payments (99Pay).

To make life easier for millions of people every day, since 2018, we have been part of DiDi DiDi Global Inc., the world’s leading mobility technology platform. We are pioneers in creating innovative solutions that start in Brazil and scale up to make a positive impact in more than 12 countries where DiDi operates. This innovation encompasses sustainability, safety, artificial intelligence, financial markets, and much more.

Whether building projects from scratch or improving our solutions, we enjoy challenges that give us butterflies, which is why we work at a fast pace with respect, collaboration, and good humor. Along this journey, we also draw strength from diverse experiences and opinions to grow together, fail quickly, learn, and adjust the course to create solutions that deliver even better results.

Team Overview

At 99, we're building the technology and intelligence layer that powers our Operations teams.

As a Data Operations Analyst, you'll extract data, build interactive dashboards, perform deep-dive analyses, and transform raw data into actionable insights that power operational decisions.

We're looking for someone curious, hands-on, and excited about technology. Someone who sees complex datasets and immediately thinks: "There must be a story and a value-creating insight hidden in here."

You'll have the opportunity to work with data, automation, AI tools, dashboards, and internal products that impact C2C, B2C, and Freight operations across Brazil.

If you love solving problems, learning new technologies, and building things that create real impact, we'd love to meet you.

Role Responsibilities

• Clean and modeling complex datasets for Operations Team.
• Conduct exploratory data analysis to identify operational bottlenecks, growth opportunities, and key performance trends.
• Build, maintain, and optimize interactive dashboards and performance reports to support executive decision-making.
• Help eliminate manual reporting routines through automated data pipelines and analytics solutions.
• Assist in monitoring core operational metrics and translating data into clear, actionable business insights.
• Explore and test modern analytics and AI tools to improve data processing and reporting efficiency.
• Work closely with Operations, Marketplace, Analytics, Sales, and Product teams to solve real business problems through data.
• Continuously identify opportunities to simplify data structures and improve how teams access key metrics.

Role Qualifications

• Bachelor’s degree (or currently pursuing) in Computer Science, Information Systems, Engineering, Economics, Business, Mathematics, Statistics, or a related field.

• Practical knowledge of SQL and Python for data manipulation, querying, and basic script automation.

• Hands-on experience or familiarity with BI tools such as Power BI, Tableau, or Looker to monitor metrics and build functional dashboards.

• Strong curiosity about data pipelines, operational efficiency, technology trends, and AI-driven automation.

• Proactive mindset with a quick-learning ability to troubleshoot data anomalies, optimize daily workflows, and handle operational tasks.

• Ability to take initiative on tasks, work independently with guidance, and collaborate effectively across cross-functional teams.

• Fluent in English with solid verbal and written skills to articulate technical ideas clearly to non-technical stakeholders.

• A "builder mentality," eager to contribute to operational improvement from day one.

Nice to Have

• Experience using AI productivity and coding assistance tools such as ChatGPT, Claude, Gemini, Cursor, or GitHub Copilot.

• Academic or side projects involving workflow automation, data monitoring dashboards, simple bots, or AI applications.

• Familiarity with low-code/no-code platforms (e.g., Make, Zapier, n8n, Airtable, Retool) to bridge operational gaps quickly.

• Understanding of basic ETL/ELT concepts, data quality checks, or data governance principles.

EEO Statement

• We create customer value - We strive to always create valuable experiences for our users in everything we do. Our focus is to always innovate new experiences that are safe, pleasant, and efficient.
• We are data-driven - We are strong believers in making informed decisions, that’s why we are data-driven. We can better navigate the business landscape strategically by analyzing valuable metrics.
• We believe in Win-win Collaboration - Success is a team sport. When we work to help our partners and colleagues win, we win, too. While keeping everyone's best interest at heart, we communicate with candor and execute with excellence in all we do.
• We believe in integrity - Integrity is at the very core of our business. We are people who always want to do the right thing. Our intentions are sincere, we speak our minds and listen to each other.
• We always strive to do better. That means venturing beyond our comfort zones, learning from our mistakes, and helping each other grow.
• We believe in Diversity and Inclusion - Diversity is one of our biggest strengths. Our differences are what makes us distinct. We respect each other and believe in equal opportunities for all.

Diversity & Inclusion

Diversity is not a future vision or a wish for something we want someday; it is a non-negotiable value of who we are today.

We embrace inclusion, plurality, and respect, and to achieve this, we rely on the governance of the Diversity Committee, which works alongside HR, our leadership, and identity groups-99Adapta, 99Afro, 99Colors, 99Womem, and 99Familys.

This is our ongoing journey, with much more still to come.

I acknowledge that prior to submitting this application, I have read and accepted the Privacy Notice for Candidates which is available on https://careers.didiglobal.com/terms