Senior Analytics Engineer

Join NuBank as a Senior Analytics Engineer and play a pivotal role in transforming data into actionable insights. You will collaborate with cross-functional teams to design and implement advanced analytics solutions that drive strategic decisions. If you are passionate about leveraging data to influence business outcomes and thrive in a dynamic environment, …

About CookUnity:In a world where convenience has overshadowed the essence of food, CookUnity was established in 2018 as a pioneering platform that reconnects people with authentic culinary experiences crafted by talented chefs. Today, we proudly deliver 50 million meals annually from some of the finest chefs, ensuring they are fresh, ready-to-eat, and infused with the passion that nourishes both body and spirit.We are not stopping there; CookUnity is evolving into a vibrant marketplace dedicated to our mission: empowering chefs to nourish the world.If this mission resonates with you, we invite you to explore this exciting opportunity.About the Team:Our Data Team is a dynamic and innovative group that thrives on addressing complex business challenges and driving growth through analytics. We deliver vital insights that empower teams across the organization to make informed decisions, ultimately enhancing operational efficiency. If you are passionate about leveraging your analytical skills to influence an organization's future, this role presents a thrilling opportunity to achieve your goals.The Role:As a Senior Analytics Engineer at CookUnity, you will serve as a data product owner within a dedicated team. Your mission is to streamline the process for analysts and data scientists, minimizing the time spent on data discovery, comprehension, and preparation before they dive into their core tasks. You will possess ownership and autonomy over specific data entities and collaborate on a unified data architecture that the team collectively manages. As your data products evolve, you will present them as Tableau connections, sheet extracts, or other endpoints required to fulfill our objectives.While some of our analytics engineers focus on data infrastructure and integrations, others excel at visualizing data dynamically. Regardless, all team members are equipped to handle complex raw data, design analytics-friendly data products (including entities and flat tables), and deliver them to a production standard that the entire organization can rely on. At CookUnity, we value a high-agency mindset, collaborative spirit, proven success, and a genuine commitment to personal development.

Role Overview Coderio is looking for a Senior Analytics Data Engineer in Buenos Aires. This role focuses on shaping data into practical insights that support business decisions and operational improvements. The engineer will use advanced analytics tools and methods to help refine and implement Coderio’s data strategy. What You Will Do Work with cross-functional teams to understand data needs and requirements Build and implement data solutions that support analytics and reporting Apply advanced analytics tools and methodologies to drive efficiencies Contribute to ongoing improvements in data processes and strategy Location This position is based in Buenos Aires.

Role Overview GoFundMe is hiring a Staff Analytics Engineer in Buenos Aires, Argentina. This role focuses on building and improving data infrastructure to support analytics across the company. The work helps teams access reliable data and turn it into insights that guide decisions and support GoFundMe’s mission.

latamcent is hiring a Staff Engineer focused on backend systems and analytics, based in Argentina. This role combines hands-on engineering with technical leadership, shaping both the architecture and ongoing reliability of core backend platforms. The position also plays a key part in building and maintaining analytics infrastructure that supports product decisions and data integrity. Role overview As Staff Engineer, you will own the technical direction for backend services and analytics pipelines. The work spans defining standards, guiding a small team of 1–3 engineers, and leading by example through active coding. The position requires experience building scalable backend systems for consumer or product-led companies, along with a deep understanding of analytics infrastructure, including event taxonomy, data governance, experimentation, and attribution tools. What you will do Audit existing backend and analytics systems to identify critical gaps and improvement areas. Establish or refine engineering standards, implement automated testing, and track KPIs for reliability, data quality, and development efficiency. Lead the analytics infrastructure: refine event taxonomy, reconcile tools, and improve data reliability for the team. Set the technical vision for at least one major backend or data initiative and guide it through to production. Build strong working relationships with product and engineering stakeholders through clear, proactive communication. Key responsibilities Oversee delivery and ongoing operation of backend systems, from architecture through production. Define and evolve backend engineering processes, standards, and best practices. Develop and use KPIs to monitor system reliability, development speed, data quality, and error rates. Make system-level architectural decisions and communicate trade-offs to engineering and product teams. Manage analytics infrastructure, including event taxonomy, governance, and tool reconciliation (e.g., Amplitude, Appsflyer). Develop and maintain experimentation infrastructure: A/B testing, variant assignment, and defining success metrics. Debug and maintain user and identity systems across login, logout, multi-device, and reinstall scenarios.

Role Overview Workstate is hiring a Senior Analytics Engineer to strengthen our analytical infrastructure and deliver insights that shape business strategy. This remote role is open to candidates based in Argentina or Colombia who have the legal right to work in those countries. The position centers on turning raw data into actionable information for stakeholders across our clients' organizations. What You Will Do Design and Architect Data Foundations: Partner with data engineers to build transformation layers that serve as the single source of truth for downstream teams. Deliver Business Insights: Manage the full insights lifecycle, from gathering requirements and modeling data to developing dashboards and self-service tools that drive decisions. Stakeholder Collaboration: Serve as the technical point of contact for business users, translating their needs into scalable, automated solutions. Create Data Narratives: Develop materials that communicate actionable insights, using data storytelling to support strategic initiatives. Build for Scale: Define and implement business metrics that automate reporting and enable deep-dive analysis through self-service capabilities. Apply Engineering Best Practices: Enhance analytics infrastructure by integrating software engineering principles such as versioning, modularity, and testing into data models. Qualifications Most candidates will have 5-7 years of professional experience and demonstrate several of the following: At least 4 years in a technical engineering or analytics role. Advanced skills in SQL and data modeling, including experience building production-ready models in cloud data lakehouse environments (e.g., Databricks or Snowflake). Proficiency in creating visualizations and self-service analytics using platforms like Tableau, Power BI, or Looker. Strong business orientation, with a track record of working directly with business users to drive faster, better decisions through data. Proactive approach, ownership of work, and a commitment to continuous learning and improvement. Collaborative mindset, valuing diverse perspectives and team success. Preferred Qualifications Experience with customer acquisition or sales funnel analytics. Background in real estate or other market-driven industries.

Business Intelligence (BI) Analytics EngineerAt SunnyData, we are dedicated to empowering our clients in their data journey, enabling them to drive their business forward. We understand that a robust data foundation is essential for achieving exceptional data-driven outcomes, which include highly scalable architectures, trustworthy data engineering pipelines, user-friendly data consumption layers, and precise machine learning and artificial intelligence applications. We are on the lookout for a Business Intelligence (BI) Analytics Engineer who will be instrumental in fulfilling ongoing reporting and data engineering requirements. This role emphasizes the development and maintenance of business reports across various BI platforms, along with modeling and transforming extensive datasets.We value a proactive approach, excellent communication skills, and the ability to work collaboratively with cross-functional teams.The Impact You Will Make1. Business Intelligence & ReportingCreate, update, and sustain dashboards and reports using BI tools such as PowerBI, Tableau, and Databricks AI/BI.Interpret business requests submitted via a ticketing system into precise and actionable data visualizations.Maintain consistency in definitions, metrics, and data logic throughout reports.Enhance performance and clarity of queries and dashboards.Document the logic and assumptions behind critical metrics and dashboards.2. Data Engineering & Data ModelingPossess advanced SQL expertise and demonstrated ability to write and optimize SQL queries effectively.Develop and maintain database views, derived tables, and other analytical components to support reporting needs.Experience in dashboard engineering projects, emphasizing storytelling and user experience.Conduct data modeling and transformation tasks to guarantee reliable reporting downstream.Identify and resolve data discrepancies while ensuring data accuracy across systems.Collaborate on enhancements to data structure and warehouse organization as needed.3. Deliverables & Success CriteriaDeliver accurate, well-documented dashboards within agreed-upon service level agreements (SLAs).Provide clean, reusable SQL objects that cater to long-term reporting requirements.Enhance clarity and consistency in metric definitions.Minimize back-and-forth communications on reporting requests through thorough documentation.

We are excited to announce an opening for a Lead Analytics Engineer contractor position within our esteemed Data Team. We are specifically looking for candidates based in Mexico or Argentina.As a Lead Analytics Engineer, you will play a vital role in our data team.Reporting directly to the Hiring Manager, you will leverage data engineering best practices to enhance analytics code, ensuring efficient transformation, testing, and documentation of data.Your goal will be to deliver clean and organized datasets to end users.You will provide expert code reviews and mentorship to fellow engineers in the data domain.Your responsibilities will include building and maintaining composable data models and optimizing SQL query performance.You will convert raw data into actionable business insights by collaborating closely with stakeholders, creating analyses that address critical business questions.Moreover, you will craft data visualizations and assist stakeholders in navigating the available data visualization tools.Why You’ll Love This Role:Utilize SQL and Python to build new analyses and support existing ones.Incorporate software engineering principles such as version control and continuous integration into the analytics codebase.Enhance our data warehouse with well-structured data primed for analysis.Data Quality and Testing:Employ advanced data testing strategies to ensure datastores align with business logic.Implement validation checks and automated testing processes to uphold data quality in your ETL/ELT pipelines.Collaboration and Communication:Engage with stakeholders to define business logic and data expectations.Drive a data-driven culture by surfacing insights to stakeholders proactively.Lead initiatives regarding problem definition, scoping, design, and planning.Infrastructure and Automation:Develop tools and automation to manage data infrastructure efficiently.Oversee large-scale data migrations within relational databases.Why You’re a Great Fit:8+ years of experience working with data in a software environment.Required Skills: Mastery of SQL and Python; extensive experience with business semantic layer tooling, data catalog tooling, and data management.

Join our dynamic team at Monks as a Junior Analytics Consultant, where you will leverage data-driven insights to help organizations make informed decisions. As a key player in our analytics team, you will work alongside experienced professionals, gaining hands-on experience in analytics methodologies and tools.

Valtech is hiring a Data Analyst with a focus on Adobe Analytics. This remote position is open to candidates based in Argentina. About Valtech Valtech partners with many of the world’s top brands to shape digital experiences. The company values growth, learning, and a culture driven by shared values. Team members have access to international career paths and opportunities to influence how people experience technology and brands. Role Overview This role supports continuous learning and professional development. Data Analysts at Valtech contribute to digital solutions and help create new customer experiences. The work challenges assumptions and aims to make a real impact across industries.

As a People Analytics & Insights Analyst at Webflow, you'll play a crucial role in leveraging data to drive our people strategy and enhance employee experiences. You will analyze complex datasets, develop actionable insights, and collaborate with various teams to support data-informed decision-making. This is an exciting opportunity to contribute to a rapidly growing organization while working remotely.

Valtech works with major global brands to improve how people experience technology. The company emphasizes ongoing learning, shared values, and a collaborative culture where team members can make a real impact across industries. Role overview This Senior Data Scientist position centers on marketing analytics, using tools and services within the Google Cloud Platform (GCP). The role is fully remote and based in Argentina. What you will do Expect to work on projects that help clients understand and improve their marketing performance through data. Valtech values fresh perspectives and encourages team members to share ideas that lead to meaningful results for clients and their customers. Growth and development Valtech supports continuous learning and professional development. Team members are encouraged to expand their skills and contribute to a culture that values innovation and real change.

rehire is seeking a Performance and Growth Marketing Lead with a focus on paid media and analytics. This full-time role is based in Argentina and centers on driving business growth through digital marketing strategies. Role overview The Performance and Growth Marketing Lead will shape and implement marketing strategies to boost rehire’s online visibility and support company goals. The role involves managing paid media campaigns from initial planning to execution, ensuring each campaign aligns with business objectives. Key responsibilities Design and execute marketing strategies that enhance rehire’s online presence and fuel growth Lead the planning, management, and optimization of paid media campaigns Use analytics to inform decisions and refine campaign performance Track and analyze key performance indicators to ensure campaigns achieve strong returns Requirements Proven experience building and managing paid media campaigns Solid background in marketing analytics Skilled at turning data insights into actionable steps

Join a leading provider of community healthcare services as a Business Intelligence Engineer, where you will play a pivotal role in enhancing our BI & Analytics capabilities. In this fully remote position based in Argentina, you will help increase our team's development capacity, expedite the implementation of our consolidation roadmap, and minimize reliance on senior colleagues for everyday reporting responsibilities.Your role will encompass the entire development lifecycle, from gathering requirements to delivering impactful solutions. You will also be instrumental in establishing standardized reporting protocols, creating integrated semantic models, and generating thorough technical documentation for our BI environment.

Join our dynamic #DespegarTeam, a collective of dedicated professionals committed to crafting exceptional experiences that enrich people's lives through travel. We collaborate, engage, and embrace challenges, always striving for more.At #DespegarTeam, we aim for growth and development. We set ambitious goals and pursue them relentlessly. Through innovation, creativity, and learning from our mistakes, we have become the leading travel platform in Latin America.We tackle complex problems and develop cutting-edge technological solutions to stay at the forefront of the travel industry.We are currently seeking a professional to fill the role of Associate Product Owner II for our Product Management team within the B2B & Media Solutions department.

Work Arrangement and Location This is a full-time position based in Buenos Aires, Argentina. Flexible work options are available: choose hybrid or fully remote arrangements to fit your needs. Role Overview Trinetix is looking for a Senior SQL Data Engineer with strong Power BI skills. The role centers on managing the data and analytics support queue, with responsibility for monitoring, troubleshooting, and resolving issues across cloud data platforms, ETL/ELT pipelines, and Power BI reporting. The position also involves handling SQL-level data fixes and record corrections that come from application support queues. At least 5 years of relevant experience is required for this role, as specified by contractual staffing requirements. What You Will Do Manage the data and analytics support queue, addressing pipeline failures, ETL/ELT errors, and Power BI dashboard issues Oversee and correct data pipelines in Azure and AWS environments Develop and run SQL scripts for data corrections, record adjustments, and diagnostic queries Support Snowflake and Databricks, including query optimization, job failure analysis, and cluster management Maintain CI/CD pipelines to support data operations, including Tier 1 monitoring and Tier 2 remediation Handle SQL-intensive overflow tickets from application support queues, such as HUB-Report and data corrections Work with client data teams on schema changes, pipeline improvements, and capacity planning Implement minor enhancements to data platforms (projects up to 80 engineering hours) Support vehicle telematics data infrastructure and related ingestion pipelines Required Technical Skills Azure: Proficiency with Data Factory, Azure SQL, and Synapse Analytics (minimum 5 years required) AWS: Experience with S3, RDS, and Glue for data pipeline and infrastructure support Snowflake: Ability to write queries, load data, troubleshoot performance, and use Snowpipe Databricks: Skilled in executing notebooks, managing clusters, diagnosing job failures, and understanding Delta Lake basics Power BI: Expertise in dashboard connectivity, troubleshooting data sources, resolving refresh failures, and basic DAX SQL: Advanced knowledge for complex queries, stored procedures, and performance tuning across SQL Server and cloud databases Pipeline Tools: Familiarity with Apache Airflow or Azure Data Factory for monitoring and repairing DAGs/pipelines Python: Proficient in scripting for data transformation, automation, and diagnostics

About CookUnity:In an age where convenience has overshadowed the essence of food, CookUnity was established in 2018 as a groundbreaking platform that connects food lovers with culinary maestros. Currently, we deliver 50 million meals annually from top chefs to homes across the nation, serving fresh, ready-to-eat meals crafted with passion and care.Our ambition doesn't stop at meal delivery; CookUnity is evolving into a dynamic marketplace with a clear mission: to empower chefs to nourish the world.If you share our passion for food and innovation, this opportunity is perfect for you.The RoleWe are seeking a Senior Analyst for Growth Analytics focused on CRM to lead and enhance our analytics strategy. In this critical role, you will strengthen customer relationships, optimize retention, and maximize lifetime value by developing the insights and metrics that drive our lifecycle marketing initiatives. Collaborating with teams across Marketing, Product, and Data Engineering, you will ensure that all CRM decisions are grounded in data and demonstrate significant business impact.What You’ll DoOwn and enhance the analytics strategy for CRM, facilitating CookUnity's ability to deepen customer engagement and drive retention.Design and implement measurement frameworks to assess the effectiveness of CRM campaigns, personalized marketing efforts, and customer journey experiences.Collaborate closely with Marketing, Product, and Data Engineering teams to leverage data for informed decision-making.

At AppsFlyer, we empower brands to make informed decisions that benefit both their business and their customers through our cutting-edge measurement, data analytics, deep linking, engagement, fraud protection, data clean room, and privacy-centric technologies. Our foundation is built on the belief that brands can enhance customer privacy while delivering exceptional user experiences, allowing us to support thousands of creators and over 10,000 technology partners in cultivating meaningful customer relationships. We are seeking a technically proficient individual who recognizes the significance of customer-focused and responsive support services. Our success is intertwined with the success of our customers, and we are looking for a natural problem-solver and an excellent communicator. In this role, you will collaborate closely with our R&D, Customer Success, and Product Teams, contributing to the evolution of our products by providing valuable feedback for future development. Submit your CV in English to be considered for this exciting opportunity.

Join Blend360 as a Data Quality Engineer where you will be pivotal in ensuring the accuracy, completeness, and reliability of our data. You will work closely with data architects, data scientists, and business analysts to create robust data quality frameworks and processes that enhance our data-driven decision-making capabilities.

Position: Senior Full Stack DeveloperLocation: Remote (LatAm)Employment Type: Full-Time Join the #remoteworkrevolution and work from anywhere in the world! Role Overview:We are on the lookout for a talented Senior Full Stack Developer to lead the design, development, and scaling of our cutting-edge analytics dashboard application. This is the perfect opportunity for an innovative developer who excels at transforming intricate data into actionable insights. You will collaborate across the stack—data pipelines, APIs, and UI—to provide our users with a seamless analytical experience.Key Responsibilities: Develop solutions that extract actionable insights from vast datasets and automate workflows based on those insights. Build and maintain APIs (Node.js/Nest.js) and user-facing dashboards (Angular/TypeScript), featuring dynamic tables, charts, and filters. Write modular, scalable, and well-architected code with comprehensive unit test coverage (TDD/BDD). Engage in design and architecture discussions, code reviews, and sprint planning to ensure robust solutions. Troubleshoot production issues, enhance performance, and quickly implement effective fixes. Contribute to an Agile/Scrum environment, consistently delivering high-quality software on schedule. RequirementsRequired Experience: Demonstrable experience in building analytics dashboards with dynamic tables and visualizations. Proficient in Angular and TypeScript for front-end development. Strong experience with Node.js, preferably using the Nest.js framework. Skilled in writing complex SQL queries (500+ lines) and optimizing query performance. 3+ years of practical experience with AWS or equivalent major cloud platforms. Solid understanding of Agile/Scrum methodologies. Proven track record of delivering high-quality, production-ready code in team settings. Excellent verbal and written communication skills in English. Desired Experience:DevOps & Infrastructure Familiarity with CI/CD tools (CircleCI, Jenkins, etc.) and automated deployment pipelines. Experience with containerized systems (Docker, AWS ECS) and serverless computing (AWS Lambda). Knowledge of microservices architectures and infrastructure-as-code principles. Big Data & E-commerce Experience writing efficient SQL for big-data platforms (Snowflake or similar). Background in developing analytics tools for e-commerce or SaaS environments. Ability to excel in fast-paced startup environments.