Senior Data Analyst

Description

Flash is an **intelligent ecosystem of HR and finance solutions** that simplifies all day-to-day workplace management within a single platform — from onboarding and time tracking to benefits and corporate expenses. We transform complex processes into an enchanting journey, creating a work experience that is **lighter, more human, and more efficient for everyone.** Inside Flash, we call this the **Flamingo Effect**: every idea, every line of code, every customer interaction resonates far beyond Flash itself — impacting the daily operations of companies and millions of people. Working here means living **the power to make things fly**, fueled by creativity, purpose, and real-world impact. **Join us as a Flamingo! ✨** ### **\\uD83E\\uDDA9 Why work with us?** At Flash, we believe great transformations begin with individual flights, gain strength collectively, and find direction in the values that guide us as a flock: ✨We create value with our customers ✨We solve problems pragmatically ✨We play together ✨We deliver consistent results ✨We learn and transform### **\\uD83E\\uDDA9 How we work:** * Being a Flamingo at Flash means thriving in a creative, technology-driven environment with **autonomy to create, test, and turn ideas into real solutions** that help companies and people fly higher. * **Accelerated learning:** Every challenge is an opportunity to grow and innovate. * **Genuine belonging:** No one flies alone — always in formation. * **Sense of purpose:** What starts at Flash transforms how the world works. * Leave your mark on the world of work and live with us the power to make things fly. ### **✨ Our benefits:** * **Flash Card (the beloved pink one!)** with flexible benefits: meals, groceries, mobility, health, education, culture, and wellness * Health insurance * Life insurance * Extended maternity and paternity leave + childcare allowance * Birthday day off \\uD83C\\uDF82 * Flexible hybrid work model + home office allowance + in-office experiences * Exclusive discounts with partners via the Flash app * TotalPass * Pet care plan with Guapeco ### **\\uD83C\\uDF08All our job openings are inclusive** * We value diversity in all its forms and believe plural teams build stronger, more human, and more innovative solutions for Flash. Therefore, all our positions are open to people of any gender, race, ethnicity, age, sexual orientation, gender identity, religion, or persons with disabilities (PwD). ### **\\uD83D\\uDCBB Your responsibilities:** * Build and evolve data, technology, and product metrics. * Build and evolve FinOps metrics, actively supporting the initiative and contributing to operational efficiency analysis, resource utilization, and cost optimization across the organization’s data platforms and systems. * Work with metadata, catalogs, documentation, and data assets that support organizational metric development. * Participate in data modeling, transformation, and delivery for analytical consumption. * Collaborate with teams to define strategic metrics and KPIs. * Develop analyses, dashboards, and indicators to support decision-making across business areas. * Identify automation opportunities using Python, AI, and productivity tools. * Explore and implement agent-based, skill-driven, and AI-powered solutions for operational optimization. * Support data governance, data quality, and analytical culture initiatives. * Conduct training sessions, workshops, and capacity-building activities to promote best practices for using data infrastructure and system platforms. * Act as a consultative partner to various Flash departments, supporting users in interpreting and using data infrastructure and system platforms. ### **\\uD83D\\uDCA1 What we expect from you:** * Excellent verbal and written communication skills. * Ability to translate technical topics for non-technical audiences. * Collaborative mindset and strong stakeholder orientation. * Ability to lead initiatives autonomously and prioritize effectively. * Genuine interest in continuous learning and professional development. * Intellectual curiosity and ability to connect data, technology, and business. * Organizational skills, attention to detail, and sense of responsibility. * Interest in innovation, artificial intelligence, and continuous process improvement. ### **\\uD83D\\uDC96 Requirements:** * Prior experience in data analysis, BI, Analytics Engineering, or related fields. * Intermediate or advanced SQL knowledge. * Basic to intermediate Python knowledge for analysis and automation. * Experience with Databricks or similar data processing and analytics platforms. * Experience using GitHub for version control and collaboration. * Experience with data visualization tools such as Metabase, Power BI, Looker, or similar. * Knowledge of data modeling and analytics best practices. * Experience in metric-driven environments and data-informed decision-making. * Proficiency in Excel or Google Sheets for complementary analysis. ### **\\uD83D\\uDE80 Nice-to-haves:** * Experience with data, product, technology, or engineering metrics. * Knowledge of FinOps, infrastructure cost control, or data platform cost management. * Experience with data governance, data cataloging, or metadata management. * Applied Data Science knowledge for business problem-solving. * Experience with LLMs, generative AI, agents, and process automation. * Knowledge of analytical engineering and data model development. * Experience in technology companies, fintechs, or fast-growing environments. **Will you fly with us? \\uD83D\\uDC96** Apply now to our open roles and help bring the Flamingo Effect to even more companies across Brazil! \\uD83E\\uDDA9 Follow us on Instagram @meuflash. \\uD83E\\uDD16 We may use artificial intelligence (AI) tools to support certain stages of the recruitment and selection process — such as application screening, resume analysis, or response evaluation. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are always made by people. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.