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Experience Level
Senior
Qualifications
Proven experience in analytics and data management, ideally within the healthcare sector. Strong leadership skills with a focus on team development and mentorship. Expertise in statistical analysis and data visualization tools such as SQL, Python, R, and Tableau. Excellent problem-solving abilities and a strategic mindset. Strong communication skills to convey complex data insights to stakeholders.
About the job
Willow Health seeks a Senior Analytics Manager to drive data-informed decision making throughout the organization. This position is fully remote and open to candidates located anywhere in Brazil.
Key responsibilities
Lead and support a team of experienced analysts, providing guidance and mentorship
Develop approaches for using data to influence business strategy and healthcare offerings
Align analytics projects with the company’s broader goals and objectives
Location
This is a remote role for candidates based in Brazil.
About Willow Health
Willow Health is a leading provider of innovative healthcare solutions, dedicated to improving patient outcomes through the power of data analytics. Our team is passionate about transforming the healthcare landscape and making a real difference in people’s lives. We foster a collaborative and inclusive work environment where every team member can thrive and contribute to our mission.
Join Swile as an Analytics Engineer where you will play a pivotal role in transforming data into actionable insights. Your expertise will help us enhance our decision-making processes and drive our growth strategy forward. You will collaborate closely with cross-functional teams to design, develop, and maintain data pipelines and analytical models.
Ebury empowers ambitious businesses to achieve global growth, and we extend the same philosophy to our team members. We promote innovation, collaboration, and problem-solving, creating an inclusive environment where everyone feels valued, supported, and equipped to succeed.If you're a collaborative individual eager to reshape global business operations, we invite you to connect with us. At Ebury, we are excited to offer opportunities that can fast-track your career and enable you to influence the future.Data Analytics Engineer Location: São Paulo (4 days on-site, 1 day remote)Ebury is a FinTech leader, recognized as one of the fastest-growing international companies in its field. Based in London, we boast a diverse team of over 1,000 staff members from more than 50 nationalities, operating across 27 offices worldwide and servicing over 45,000 clients daily.About our team:The success of Ebury’s strategic growth plan relies heavily on our Data team, and we are currently looking for an Analytics Engineer to join our Analytics Engineering team!Our mission is to develop and maintain Ebury’s Data Platform, serving the entire company where Data Scientists, Data Engineers, Analytics Engineers, and Data Analysts collaborate to:Build ETLs and data pipelines to serve data in our platform
Join Experian as an Analytical Engineering III professional, where you will play a crucial role in developing innovative analytical solutions. Collaborate with cross-functional teams to enhance data-driven decisions and drive business growth.
Role Overview Arcoeducacao is hiring a Staff Analytics Engineer for a fully remote role. This position centers on building analytical solutions that inform business decisions and support key initiatives. What You Will Do Work closely with teams across the company to turn data into actionable insights Develop and refine analytics tools and processes that improve business performance Support strategic projects with data-driven analysis Location This is a remote position. Work from anywhere.
Join the Analytics Team at TRACTIANAt TRACTIAN, our Analytics team is dedicated to creating and sustaining a seamless flow of data—from the intricate pipelines to the impactful dashboards that deliver actionable insights to our customers and internal data products. We pride ourselves on ensuring the data we provide is not only reliable and trustworthy but also meaningful, integrating information from diverse sources and delivering it efficiently. Our primary mission is to transform raw data into insightful and reliable products that empower users across the organization.Key ResponsibilitiesAs an Analytics Engineer, you will be instrumental in designing, constructing, and overseeing robust data pipelines and dashboards that enable business teams to derive actionable insights. You will collaborate closely with data analysts, data scientists, and business stakeholders to uphold data quality, streamline data workflows, and facilitate self-service analytics, fostering data-driven decision-making throughout the organization.
At bv, we pride ourselves on being one of the largest private banks in Brazil, as recognized by the Central Bank's ranking. For the second consecutive year, we have been honored as the best financial institution to work for in Brazil, according to the GPTW 2025 ranking! We also received the Diversity seal in the Women's category, reinforcing our commitment to equity.Our culture is genuinely lived out: we are simple, correct, collaborative, and courageous. We value relationships, innovation, and a light work environment that is increasingly collaborative and intentionally advancing diversity and inclusion.We are in a constant state of evolution and are building successful partnerships to fulfill our purpose of making the financial lives of individuals and businesses easier.Do you resonate with this mission? If so, we would love for you to join our team!We are on the lookout for a Specialist in Analytics Engineering and AI to serve as a technical reference and accelerate our journey in data and artificial intelligence. This senior role involves substantial engagement in modern data engineering and applied AI, acting as a bridge between data pipelines, analytical modeling, data products, and intelligent solutions. The individual will be responsible for evolving our Lakehouse, structuring analytical transformation practices and models, ensuring data governance and quality, and enabling AI cases such as RAG, internal agents, and predictive models. We seek a senior professional with a platform vision, strong structuring ability, technical influence, excellent communication skills, and the capability to connect Analytics Engineering and AI comprehensively.
Join Us in Transforming the Financial Landscape for Millions!At RecargaPay, our mission is to provide an unparalleled payment experience for Brazilian consumers and small businesses. We are dedicated to creating a robust digital ecosystem that connects the banked and unbanked, offering a comprehensive one-stop solution for all financial needs.With over 12 million users and an impressive annual transaction volume exceeding USD 4 billion, we have been profitable since 2022 and proudly operate our own credit business. As an AI-first, fully remote team, we are rapidly scaling in Brazil's dynamic financial market.Our vision? To deliver the ultimate payment experience for individuals and small enterprises across Brazil.We highly value autonomy, ownership, and a proactive mindset. We seek individuals who are curious, hands-on, and driven by meaningful impact—those eager to tackle real challenges, collaborate with talented teams, and redefine possibilities.If you’re ready to contribute your best work, at scale, with purpose—this is your opportunity.
Empowered by People Who Transform Education All positions at Arco are open to People with Disabilities. We are Arcotech, the technology team at Arco Educação. We develop digital solutions that engage students, parents, and schools to facilitate a more dynamic and effective learning experience. Our team is composed of passionate individuals who believe in the power of technology and education. Together, we aim to combine these two forces to enhance the learning experience. Our mission goes beyond innovation; we strive to amplify the impact of education on individuals, which drives us forward. Through learning solutions, estimations, and relationships, we assist schools in becoming better, bigger, and more appealing to students, educators, and families. #VEMPRAARCO #VEMSERTECH Now that you have an insight into our essence, let’s discuss the opportunity! What Challenges Await You With Us?Collaborate with various departments to understand business needs and propose optimal data modeling solutions;Translate business concepts into quantitative metrics (KPIs, OKRs, etc.);Design and structure data for analytical purposes following best practices, including data quality and documentation;Manage workflows related to data pipelines. What We Hope You Bring:Experience in implementing, maintaining, and monitoring data pipelines;Advanced SQL skills;Experience with analytical data modeling (star schema, snowflake, and data vault);Knowledge of architectural techniques for analytical purposes (Data Mart, Data Lake, Data Warehouse, Data Mesh, etc.);Familiarity with data visualization tools (Looker, Metabase, Power BI, etc.);
About the Department:The Data Department at BTG Pactual is continuously evolving and plays a crucial role in establishing the bank's new business models. With this strategic mission, we aim to build a team of high excellence to tackle significant and impactful challenges.This position is part of the Data Analytics team, which employs the most advanced big data technologies to support various areas of the bank in their daily operations.Your challenge will be to develop efficient data ingestion pipelines, as well as to structure and organize data layers, ensuring quality, governance, and security. You will collaborate with different teams to understand their needs, translate requirements into scalable and efficient solutions, ensuring that data is available, intact, and ready to generate strategic value for the business.
About the Team:Join our dedicated Automation team at BTG Pactual, where we focus on integrating data, machine learning, and intelligent agents to enhance analytical capabilities and operational efficiency at the largest investment bank in Latin America. We develop advanced models, analyses, and tools that support strategic decision-making and impact various business areas.As a member of the Data & AI team, you will be involved in creating machine learning models, developing applications with intelligent agents, conducting exploratory analyses, and delivering ad-hoc analytical projects. You will work closely with business areas to understand their needs, propose data-driven solutions, and transform requests into high-impact analytical products.Your Daily Responsibilities:Model Development: Create, train, validate, and tune supervised and unsupervised models to solve real business challenges.Intelligent Agents Application: Design and implement solutions using autonomous agents and advanced AI tools for analytical automation and decision-making.Exploratory Analyses: Conduct statistical studies and data explorations to identify patterns, trends, and optimization opportunities.Ad-hoc Analytical Deliveries: Provide on-demand analyses catering to various departments with diagnostics, insights, and data-based recommendations.Stakeholder Collaboration: Collaborate with business experts, Product Owners, engineers, and other teams to convert requirements into comprehensive and functional analytical solutions.Quality and Best Practices: Contribute to the continuous improvement of analytical processes and standards, ensuring organization, version control, and proper code review and maintenance practices.Documentation: Develop technical documentation on models, analyses, workflows, and methodological decisions, ensuring ease of maintenance and evolution of solutions.
Role overview Jobgether is hiring a Business Intelligence Engineer focused on Data Programming & Analytics in Brazil. This role blends data engineering, business intelligence, and market analytics to deliver insights that guide strategic and commercial choices. What you will do Transform large, complex datasets into structured, automated, and reusable reporting tools. Develop scalable data pipelines to improve reporting efficiency and enable data-driven decisions across the company. Build reliable data models that clarify ambiguous business challenges and produce actionable insights. Work with Sales, Product, Finance, Research, and Legal teams to deliver intelligence supporting global market activities. Improve the quality and consistency of index-related intelligence used throughout the organization. Who thrives in this role Engineers with strong programming skills and a practical approach to building data solutions. People who enjoy collaborating with cross-functional teams and turning business needs into technical results. Those comfortable handling ambiguity and translating complex problems into clear, data-driven answers. Location This position is based in Brazil.
Capco is a global technology and consulting firm dedicated to the financial services and energy sectors. We are passionate about empowering our clients and have 40 offices across the Americas, Europe, and Asia-Pacific! If you thrive on creativity and innovation, Capco is the perfect fit for you. We will support you in accelerating your career!We are looking for a hands-on Senior Engineer to design, build, and operate enterprise solutions using Microsoft Fabric (Lakehouse) and Power BI focused on marketing and customer analytics. You will be responsible for end-to-end delivery, including data ingestion and orchestration (Fabric Data Factory), transformations with Spark (PySpark/Spark SQL), lakehouse modeling in the medallion architecture (Bronze/Silver/Gold), semantic model design, and performance optimization in Power BI. A solid background in production environments with incremental loads/CDC, data quality validations, security (RLS), monitoring/alerts, and deployment practices (Dev/Test/Prod) is essential.
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Willow Health seeks a Senior Analytics Manager to drive data-informed decision making throughout the organization. This position is fully remote and open to candidates located anywhere in Brazil. Key responsibilities Lead and support a team of experienced analysts, providing guidance and mentorship Develop approaches for using data to influence business strategy and healthcare offerings Align analytics projects with the company’s broader goals and objectives Location This is a remote role for candidates based in Brazil.
Are you ready to make a significant impact on how a 9-figure brand allocates millions towards growth initiatives?At Freebird®, we are a rapidly expanding direct-to-consumer brand that is revolutionizing the shaving experience for millions. With over 2 million satisfied customers and soaring to 9 figures in revenue, we are poised to embark on our next phase of profitable expansion.We are seeking a proactive Growth Analytics Lead who will be instrumental in developing and managing the analytical framework that drives our growth strategy. This is not merely a reporting role; it is a pivotal position in our commercial analytics function.Your responsibilities will include constructing models, dashboards, and decision-making frameworks that dictate our growth strategies, helping us identify when to scale, when to retract, and how to enhance long-term contribution margins across cohorts.Your analytical insights will directly shape our marketing investments, customer acquisition cost (CAC) controls, retention-adjusted economics, and 24-month cohort contribution margin performance.Role ObjectivesDesign and manage the intelligence system that propels Freebird’s growth trajectory.Ensure sustainable profitability by aligning customer acquisition strategies with their long-term performance metrics.In a subscription-based model, the growth is intrinsically linked to customer retention and contribution margins. Factors such as paid media influence CAC, creative strategies impact performance, e-commerce affects conversion rates (CVR) and average order value (AOV), while retention plays a critical role in churn rates. Financial insights shape margin considerations.In the absence of alignment, we risk operational drift.You will unify these disparate systems by developing a comprehensive measurement and decision-making framework that correlates spending, cohort behaviors, retention metrics, payback periods, and contribution margins into an actionable economic overview for our leadership team.Key ResponsibilitiesOptimize Acquisition ProfitabilitySteer and refine spending strategies to ensure efficient scaling within contribution margin parameters.Establish CAC thresholds associated with 12- and 24-month contribution margins.Analyze diminishing returns and marginal efficiency curves to guide budget distributions.Translate attribution constraints and measurement uncertainties into actionable, decision-ready frameworks.Interpret findings from marketing mix modeling (MMM), incrementality tests, lift studies, or multi-touch attribution (MTA) frameworks for strategic budget and investment decisions.Identify the most effective channels, audience segments, creatives, and offers that yield high-quality cohorts.Support structured validation processes for new channels prior to scaling.Provide clear monthly assessments on areas to expand, maintain, or reduce investments.Enhance 24-Month Contribution Margin per CohortDevelop and sustain 12- and 24-month contribution margin tracking based on acquisition cohorts.Implement survival curve diagnostics and retention performance metrics across key milestones.Collaborate with cross-functional teams to analyze performance and adjust strategies accordingly.
