Business Intelligence (BI) Analytics Engineer

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…

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.

Role overview Monks is looking for a Junior Business Intelligence Analyst in Buenos Aires. This role supports the team by turning raw data into clear insights that help guide decisions across the company. What you will do Collaborate with senior analysts and stakeholders to collect and interpret data Assist in building reports and dashboards that inform strategy and improve operations Help translate complex data sets into useful findings for business teams Location This position is based in Buenos Aires.

Join our innovative team at Monks as a Business Intelligence Data Analyst, where you will play a pivotal role in transforming data into actionable insights. You will collaborate closely with various departments to identify key performance indicators and drive strategic decision-making through data analysis.Your analytical expertise will be crucial in developing and maintaining data models, dashboards, and reports that empower our stakeholders to make informed decisions. If you are passionate about data and thrive in a dynamic environment, we want to hear from you!

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

Join psicro as a Hybrid Business Analyst and Power BI Developer! In this dynamic role, you will leverage your analytical skills to drive process improvements and develop insightful data visualizations using Power BI. Collaborate with cross-functional teams to identify business needs and deliver solutions that enhance operational efficiency.

Despegar has shaped travel technology in Latin America for more than 25 years. The company connects millions of travelers across the region, aiming to make each journey smooth and memorable. Creativity, innovation, and practical solutions guide how teams approach travel challenges. Culture and Values Despegar’s culture centers on four pillars: Teamwork: Collaboration and shared goals drive daily work. Entrepreneurship: Teams take ownership and act with initiative. Innovation: Challenging established ways and scaling effective solutions is encouraged. Impact: Focus remains on delivering meaningful results. Teams operate with high autonomy and clear alignment. Quick testing, learning from mistakes, and sharing diverse perspectives help guide decisions and shape projects. Who Succeeds in This Role Professionals who think big and want to influence the travel industry Those who act with initiative and show an entrepreneurial mindset Individuals who adapt quickly and keep learning Collaborators who value teamwork People who communicate openly and focus on results Location This Senior Planning Business Intelligence Analyst position is based in Buenos Aires.

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, we want to hear from you!

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 Delivery Hero is seeking a Senior Business Analyst based in Buenos Aires. The position centers on supporting key strategic decisions and enhancing business processes to drive better results. Analytical work in this role shapes how the company operates and helps achieve its objectives. Main responsibilities Analyze business data to identify trends and opportunities for improvement. Support decision-making by providing actionable insights to leadership. Refine and optimize existing processes to boost overall performance. Impact Insights and recommendations from this role influence how Delivery Hero delivers its services and reaches business targets.

We are seeking a highly motivated and experienced Senior Business Analyst to join our dynamic team at SunnyData. In this role, you will be responsible for analyzing business processes, identifying opportunities for improvement, and implementing effective solutions. You will work closely with stakeholders to gather and document requirements, ensuring alignment with business objectives. Your analytical skills will be crucial in driving data-driven decisions and enhancing operational efficiency.

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.

At SunnyData, our mission is to empower our clients throughout their data journey, enabling them to drive their business success. We firmly believe that a strong foundational framework is essential for achieving exceptional data-driven outcomes, encompassing highly scalable architectures, resilient data engineering pipelines, straightforward data consumption layers, and precise Machine Learning (ML) and Artificial Intelligence (AI) applications. As a Senior Data Engineer, you will be pivotal in enhancing this customer journey. You will collaborate closely with internal teams and clients to conceptualize, construct, and implement data solutions that capture, analyze, transform, and leverage data to facilitate insights in AI, ML, and Business Intelligence.Your ImpactJoin a dedicated team committed to assisting new and existing clients with their data engineering requirements.Guide clients in making optimal technical decisions to achieve their objectives.Engage with multiple client accounts, tracking and reporting their progress effectively.Design, develop, and operationalize complex data solutions, resolving issues, applying transformations, and recommending data cleansing and quality improvement strategies.Evaluate data sources to assess their value and advocate for their inclusion in analytical workflows.Implement core data management practices encompassing data governance, data security, and data quality.Collaborate across teams to facilitate delivery and educate end users on data products and analytic environments.Conduct data and systems analysis, assessment, and resolution for defects and incidents of moderate complexity, addressing issues as needed.Test data movement, transformation code, and data components to ensure reliability.QualificationsA minimum of 5 years of relevant experience in data engineering and data product development.Proficient in one or more of the following:Data Engineering technologies (e.g., Spark, Hadoop, Kafka)Data Science and Machine Learning technologies (e.g., pandas, scikit-learn, Hyperparameter Optimization)Data Warehousing tools (e.g., SQL, OLTP/OLAP/DSS)Strong comprehension of the complete data analytics workflow.Proven track record of domain expertise with the ability to understand technical concepts and apply them effectively.

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.

Why join dLocal?dLocal empowers leading global enterprises to efficiently collect payments across 40 emerging markets. Our innovative platform is trusted by major brands to enhance conversion rates and streamline market entry into the world's most dynamic economies. As both a payment processor and a merchant of record, we facilitate seamless payment solutions for our clients, enabling them to tap into high-growth opportunities.By becoming a part of dLocal, you will join a vibrant global workforce of over 1000 professionals from more than 30 nationalities, embarking on an international career that positively affects millions of daily lives. Our team is composed of builders who embrace challenges, prioritize customer satisfaction, and foster innovation. If this resonates with you, we believe you will excel in our environment.What’s the Opportunity?Join an avant-garde team dedicated to transforming payment systems through cutting-edge AI technologies. In this role, you will architect, design, and oversee the deployment of AI-driven solutions that are set to redefine the payment industry.As an integral member of our team, your contributions will significantly impact our company’s trajectory. You will witness firsthand the transformative effects of your work on our growth and success. Our stimulating environment promotes creativity and innovation, empowering you to influence the future of payment technologies.

Toloka Annotators brings together people from around the world to contribute to Generative AI projects. By involving real individuals in data collection, the company supports the progress of AI for major technology organizations. Role overview The Vision Data Intelligence Specialist works on capturing everyday household activities using a first-person perspective. This is a freelance, remote role open to applicants in Córdoba, Córdoba Province, Argentina, as well as other locations. The main responsibility is to film daily domestic tasks, such as cleaning, laundry, or pet care, to help train AI systems. What you will do Data collection: Record hands-on activities in different home environments, focusing on tasks that involve significant hand use. Household tasks: Capture routine actions like tidying up, washing dishes, folding clothes, and mapping out home spaces. Guideline compliance: Follow specific instructions for each video, ensuring a variety of locations and activities, and keep attention on the assigned task. Requirements Equipment: Smartphone or camera that can record at least 1080p resolution and 30 FPS. Recording perspective: Mount the device at forehead or eye level to get a downward, egocentric view that clearly shows hand movements. Software: Use the provided 'D&A' app for all video recording and uploads. Video quality: Ensure clear, stable, and well-lit footage. Each video should last at least 15 seconds and show purposeful, uninterrupted activity without staged gestures or unnecessary breaks. Benefits Earn up to $5 per hour, depending on the project, while completing household chores. Flexible, project-based freelance work: select tasks that fit your schedule. Help shape how AI understands and interacts with daily life.