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Experience
Qualifications
We are looking for a skilled Data Analyst with expertise in Adobe Analytics. The ideal candidate will possess strong analytical skills, a keen attention to detail, and the ability to communicate insights effectively. Experience in data visualization tools and a solid understanding of web analytics are essential.
About the job
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.
About Valtech
Valtech is a global leader in experience innovation, committed to helping brands navigate the complexities of digital transformation. Our collaborative approach allows us to create tailor-made solutions that drive meaningful results for our clients and foster an enriching workplace for our employees.
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-functio…
Full-time|Hybrid|Buenos Aires, Buenos Aires, Argentina
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 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!
Full-time|On-site|Buenos Aires, Buenos Aires, Argentina
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 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.
Contract|Remote|Remote - Argentina; Brazil; Mexico; Colombia; Chile; Costa Rica
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.
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.
Role overview Muttdata is hiring a Lead Data Engineer based in Argentina. This role guides the development of data solutions and shapes the company’s data strategy. The Lead Data Engineer manages a skilled team, working alongside data scientists and other partners to design and build data architectures that support business needs. What you will do Lead a team of engineers focused on data projects Work closely with data scientists and stakeholders to deliver effective solutions Design and implement data architectures that scale with business growth Ensure data processes remain efficient and match company goals
WHO ARE WE?Launch Potato is a thriving digital media enterprise that attracts over 30 million visitors each month through prominent brands like FinanceBuzz, All About Cookies, and OnlyInYourState.As The Discovery and Conversion Company, our goal is to connect consumers with leading brands through innovative, data-driven content and technology.With our headquarters in South Florida and a remote-first team spanning over 15 countries, we foster a high-growth, high-performance culture where speed, ownership, and measurable impact are the keys to success.WHY JOIN US?At Launch Potato, you’ll have the opportunity to fast-track your career by taking ownership of outcomes, working swiftly, and making a significant impact alongside a global team of top performers.
WHO ARE WE?Launch Potato is a thriving digital media enterprise that captivates over 30 million visitors monthly through prominent brands like FinanceBuzz, All About Cookies, and OnlyInYourState.As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through innovative data-driven content and technology.With our headquarters in South Florida and a remote-first team spanning over 15 countries, we have cultivated a high-growth, high-performance culture where speed, ownership, and measurable impact drive our success.WHY JOIN US?At Launch Potato, you will fast-track your career by taking ownership of outcomes, moving quickly, and making a significant impact alongside a global team of exceptional performers.
Full-time|Remote|Mar del Plata, Argentina (remote)
WHO WE ARE?Launch Potato is a thriving digital media company that attracts over 30 million monthly visitors through our popular brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.As the Discovery and Conversion Company, our mission is to connect consumers with top brands through data-driven content and technology.Headquartered in South Florida, we operate with a remote-first team across more than 15 countries, fostering a high-growth, high-performance culture where speed, ownership, and measurable impact are key to our success.WHY JOIN US?At Launch Potato, you'll fast-track your career by taking ownership of outcomes, acting swiftly, and making a significant impact with a global team of top performers.
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.
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 Pavago is looking for a Data Engineer to strengthen and support its data infrastructure. This position is fully remote and available to candidates based in Argentina. What you will do Design, build, and maintain data pipelines to ensure information moves efficiently and reliably across systems. Collaborate with teams throughout the company so data remains accessible and supports decision-making. Help improve processes by making data more valuable and usable for the organization. Requirements Proven experience with building and maintaining data infrastructure. Comfort working collaboratively, including in situations where priorities may shift quickly. Drive to create meaningful impact through data-focused solutions. Location This is a remote role for candidates based in Argentina.
WHO ARE WE?Launch Potato is a thriving digital media organization that engages over 30 million visitors each month through popular brands like FinanceBuzz, All About Cookies, and OnlyInYourState.As The Discovery and Conversion Company, our goal is to connect consumers with top brands through innovative, data-driven content and technology.Headquartered in South Florida, we operate with a remote-first team across 15+ countries, fostering a high-performance culture characterized by agility, ownership, and measurable impact.WHY JOIN US?At Launch Potato, you will accelerate your professional growth by taking ownership of outcomes, moving swiftly, and making a significant impact alongside a global team of high achievers.
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.
Role Overview Muttdata is looking for a Senior Data Engineer based in Argentina. This role focuses on building and maintaining data pipelines and architectures that help drive business decisions. The Senior Data Engineer will work closely with teams across the company to keep data accurate, accessible, and reliable. What You Will Do Design and develop data pipelines that move and transform data efficiently Maintain and improve data architecture to support analytics and reporting Work with other teams to ensure data remains accurate and easy to access Apply current technologies to strengthen the company’s data systems Location This position is based in Argentina.
As a Lead Data Engineer at Muttdata, you will spearhead our data engineering initiatives, designing and implementing robust data pipelines and architectures. Your leadership will guide a team of data engineers, ensuring high standards in data quality and system reliability. You will collaborate closely with data scientists and analysts to facilitate data-driven decision-making across the organization.
Join Our Team as a Data EngineerAt AlixPartners, we are dedicated to solving complex challenges by transforming insights into innovative solutions that deliver lasting value to businesses, their people, and the communities we serve. Our products are strategically designed to create meaningful impact, ensuring sustainable growth and success for our clients. We cherish the diversity of thoughts and experiences that our employees bring to our firm and are committed to fostering an inclusive environment where everyone can thrive.Embracing a hybrid work model, AlixPartners supports our team members in achieving work-life integration. This role combines both in-person and remote work, engaging users appropriately in business conferences and in-person workshops while adhering to a traditional product development cadence.
