Intermediate Data Analyst (Brazil)

Brazil - Remote Data Remote Full-time Axonify is the AI-Powered Frontline Enablement Platform that helps organizations close the gap between learning and execution. By unifying learning, execution and insights capabilities, Axonify drives real business impacts for the world’s largest frontline organizations across retail, grocery, healthcare, and financial services. More than 4 million employees across 160+ countries rely on Axonify today. It’s an exciting time to join as we transform the company and build what’s next. We’re a team that thinks deeply, moves with intention, and embraces new ideas. We learn quickly, keep a sharp focus on real-world impact, and take meaningful action to drive progress. And we do it as one team, with openness, creativity, and a shared drive to keep pushing what’s possible. The Role The Intermediate Data Analyst partners with our product and development teams to deliver proactive insights and data products such as user-facing reports to help add value and enable data-informed decisions to Axonify customers and internal stakeholders. What You’ll Build Build and maintain user-facing reports to help Axonify customers gain insights into their user base and surface opportunities to help Axonify customers grow their workforce Build and maintain data models which will power underlying customer/internal reports and analyses Partner with Product and Development teams to conduct product/feature analyses and build relevant reports to provide product insights Ensure data schemas for new features will support future analytics and data product needs Collaborate with various cross-functional stakeholders, including Product Managers, Developers, Designers, UX Researchers, and Data Engineers to address ad hoc data needs and work on projects related to organizing and analyzing data Be an integral part of the Data organization, leveraging and contributing to the vibrant knowledge base, shared across a community of world-class data experts Identify opportunities to leverage AI tools and techniques to automate tasks, improve code quality, or optimize software performance What You’ll Bring Degree in quantitative field OR equivalent experience 3-4+ years of experience in a similar field Experience with Looker and BigQuery is a must Strong Proficiency with relational database (e.g., SQL) and statistical analysis/programming languages (e.g., R / Python) Solid foundation in statistics with proficiency in fundamental statistical techniques such as t-tests, linear regression, etc. Demonstrated ability to communicate and discuss complex topics with technical & non-technical audiences Good product and business acumen Demonstrated ability to take defined problems and solve them in a structured, hypothesis-driven, data-supported way Demonstrated experience of data warehousing concepts and how this applies to analytics and reports for new features Work Location This role is open to candidates who are located in, and authorized to work in, Brazil. Whether you are working remotely or in a hybrid environment at Axonify, you will have the tools, resources, and support you need to succeed. What You’ll Love About Axonify: We offer a comprehensive total rewards package designed to support your wellbeing, growth, and overall success. Here’s what you can expect: Competitive Compensation: Competitive salary and an incentive plan aligned to your role, which may include annual or variable incentives. We take a thoughtful, market-based approach to compensation. Comprehensive Health Benefits: Health benefits from day one to support your overall wellbeing. Time Off: 4 weeks of vacation, 7 Life Care Days, and a flexible holiday program to choose the religious, spiritual, and cultural holidays that matter most to you. Wellbeing Support: Wellness Spending Account to support whatever wellbeing looks like for you. Home Workspace Set-Up: Home Office Spending Account so your workspace works for you. Family & Future Support: Parental top-up, New Parent Days, and matched retirement savings for a secure future. Growth & Learning: Professional Development Budget to learn new skills and grow your craft. Community Impact: Paid Volunteer Time to give back to the causes that matter to you. In-Office Connection: Tasty Tuesdays in the office every other week because good food brings people together. AI at Axonify We believe AI should help people do their best work, not replace the human judgment, creativity, and connection that make us who we are. AI is a tool we use to learn fast, elevate our craft, and focus on the work that truly creates impact. That shows up in our hiring process too. We use AI-assisted tools to create a smoother, more organized, and ultimately more human candidate experience. These tools allow our team to spend more time on real conversations and thoughtful decision-making, the things that matter. What AI doesn’t do at Axonify is make hiring decisions. Every decision is made by real people, using real judgment and grounded in our values. Here’s what that means for you as a candidate: Feel free to use AI to support your thinking - not replace it. We use AI to learn and level up, and you can too. Be open about how you use AI if asked. Transparency helps us understand your process and how you approach problem-solving. Stay authentic. We’re hiring people, not prompts, your ideas, your experiences, and your voice are what matter. Diversity & Accessibility We believe our team’s unique experiences, backgrounds, cultures, beliefs, and abilities add richness to our culture and depth to our ideas. Our commitment to diversity and inclusion creates an environment that supports, empowers, and delivers a sense of belonging for all team members. We want to remove any barriers that may limit you from joining Axonify. Email accessibility@axonify.com to let us know how we can support you with reasonable accommodations throughout the candidate journey. What’s Next? Apply. Our Talent Acquisition team is committed to providing an outstanding experience throughout your journey with us. Learn more about Axonify at www.axonify.com/careers