Senior Data Analyst

Senior Data Analyst – AI & Generative AI Analytics Location: LATAM (Remote) Working Hours: 9:00 AM – 5:00 PM Eastern Time Seniority: Senior Role HighlightsAI-Focused Analytics: Support analytics and reporting for AI and Generative AI solutionsHigh Ownership Role: Independently define data requirements and validate end-to-end data integrityAWS-Centric Stack: Build dashboards using Amazon QuickSight with data across Aurora, DynamoDB, and Athena OverviewWe're seeking a highly skilled Senior Data Analyst to support analytics and reporting for our AI and Generative AI solutions team. This role is ideal for someone who is technically strong, detail-oriented, proactive, and thrives in a fast-paced environment where data quality, accuracy, and independence matter.You will be responsible for defining, validating, and delivering data requirements that enable usage and performance dashboards in Amazon QuickSight, leveraging data stored across AWS Aurora, DynamoDB, and Athena. You should be comfortable navigating complex data architectures, identifying the right tables and fields, and collaborating with engineers to ensure end-to-end data integrity — without needing step-by-step direction. ResponsibilitiesTranslate business and analytics needs into clear, structured requirements for QuickSight dashboards and reportsIndependently identify source data tables, fields, and relationships across Aurora, DynamoDB, and AthenaWrite, optimize, and validate SQL queries to extract and transform data for analysisPerform data validation and QA to ensure accuracy, completeness, and consistency across multiple data sourcesPartner with product managers, engineers, and AI platform teams to define meaningful KPIs related to usage, adoption, and performanceDevelop and maintain documentation and data dictionaries for reproducibility and handoffProvide timely status updates, participate in daily standups, and meet deadlines with minimal oversightSurface insights on data trends, patterns, and anomalies to improve AI and agentic systems reportingSupport self-service analytics in AWS, including user access, troubleshooting, and enablement Qualifications & Experience5+ years of hands-on data analytics experience, with a proven ability to work independentlyExpert-level SQL and experience querying AWS Aurora, DynamoDB, and AthenaStrong experience creating clear, compelling dashboards for business and technical stakeholdersAbility to work with complex data models, including joins, foreign keys, and parent-child relationshipsExperience collaborating with developers to request or define database views and schema changesProven experience designing or supporting dashboards in Amazon QuickSight (or similar BI tools)Strong understanding of data validation, QA, and troubleshooting techniquesAbility to translate business goals into precise technical data requirementsExcellent documentation and communication skills, with proactive issue escalationExperience in AI, machine learning, or digital product analytics environments preferredComfortable working across time zones and managing multiple priorities under tight deadlines Why Join UsAI-Driven Impact: Your work directly supports AI and Generative AI products used at scaleHigh Autonomy: Trusted to own data discovery, validation, and delivery end to endModern Cloud Stack: Deep exposure to AWS-native analytics and AI platformsRemote LATAM Role: Fully remote with consistent ET collaborationFast-Paced & Collaborative: Join a high-performing, agile product environment About UsWe partner with innovative teams building modern, data-driven products — including advanced AI and generative solutions. Our approach blends strong technical execution with close collaboration, ensuring analytics and reporting are accurate, actionable, and aligned with real business outcomes. We value ownership, clarity, and results.