Technology Jobs in Ulloa, Costa Rica (Now Hiring) — 7 open

•  Serve as a technical data liaison between clients and internal service teams to ensure alignment on data requirements and delivery. 

• Gather and translate business and technical requirements into detailed data specifications that support client use cases. 

• Lead discussions with client data owners and media agency partners to identify relevant data sources and systems. 

• Acquire, integrate, and validate data from multiple sources using internal tools and cloud-based platforms, ensuring high data quality. 

• Manage multiple concurrent data workflows across diverse client accounts, ensuring timely delivery and accuracy. 

• Investigate and resolve data issues such as missing fields, mismatches, and inconsistencies, providing actionable insights. 

• Develop and maintain database curation and data stack solutions for 80+ global clients, handling 100 to 2,500 data feeds per client. 

• Drive operational efficiencies by optimizing data processes and solving complex technical challenges across systems. 

• Collaborate with data science, consulting, and product teams to deliver integrated data solutions. 

• Communicate clearly with stakeholders by providing status updates, documenting work, and escalating blockers when needed.

• Structured Data Concepts (tables, joins, schemas, data flows): Essential for designing accurate data models and translating requirements into technical specifications. 

• Data Management & ETL (Extract, Transform, Load) frameworks: Critical for understanding how data moves across systems and ensuring data quality across pipelines. 

• Marketing/Agency/Data Integration experience (1–3 years): Provides context for client needs and enables effective communication with stakeholders in marketing and analytics environments. 

• Bachelor’s degree in an analytics-related field (Business, Marketing, Economics, Statistics, Computer Science) or equivalent experience: Ensures foundational analytical and technical knowledge. 

• Data quality and diagnostic skills: Necessary to identify issues, troubleshoot datasets, and propose scalable solutions. 

Required Technical Skills 

• SQL (Structured Query Language): Required for querying, manipulating, and analyzing structured datasets. 

• Data Visualization tools (Excel, Power BI, Tableau, Superset, PowerPoint): Used to communicate insights and data trends to stakeholders. 

• APIs (Application Programming Interfaces) & JSON (JavaScript Object Notation): Needed for integrating and exchanging data between systems. 

• Data investigation and validation processes: Essential for identifying anomalies and ensuring data integrity. 

• Workflow and documentation tools (Jira, Confluence): Required for tracking work and documenting processes. 

Preferred Skills 

• Python or scripting for data manipulation: Helps automate workflows and improve efficiency. 

• Process improvement mindset: Enables continuous optimization of data workflows. 

• Experience working with ambiguous requirements: Supports adaptability in complex environments. 

• Advanced diagnostic and problem-solving skills: Accelerates issue resolution. 

• Experience creating technical documentation: Ensures consistency and scalability across projects.