Senior Data Analyst - SQL

Senior Data Analyst – AI & Generative AI Analytics

Location:

LATAM (Remote)
Senior
High Ownership Role:
Independently define data requirements and validate end-to-end data integrity
AWS-Centric Stack:
Build dashboards using Amazon Quick Sight with data across Aurora, Dynamo

DB, and Athena
We'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 Quick Sight, leveraging data stored across AWS Aurora, Dynamo

DB, 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.
Independently identify source data tables, fields, and relationships across Aurora, Dynamo

DB, and Athena
Write, optimize, and validate SQL queries to extract and transform data for analysis
Perform data validation and QA to ensure accuracy, completeness, and consistency across multiple data sources
Partner with product managers, engineers, and AI platform teams to define meaningful KPIs related to usage, adoption, and performance
Develop and maintain documentation and data dictionaries for reproducibility and handoff
Surface insights on data trends, patterns, and anomalies to improve AI and agentic systems reporting
Support self-service analytics in AWS, including user access, troubleshooting, and enablement
5+ years of hands-on data analytics experience, with a proven ability to work independently
~ Expert-level SQL and experience querying AWS Aurora, Dynamo

DB, and Athena
~ Ability to work with complex data models, including joins, foreign keys, and parent-child relationships
~ Experience collaborating with developers to request or define database views and schema changes
~ Proven experience designing or supporting dashboards in Amazon Quick Sight (or similar BI tools)
~ Strong understanding of data validation, QA, and troubleshooting techniques
~ Ability to translate business goals into precise technical data requirements
~ Experience in AI, machine learning, or digital product analytics environments preferred
~ High Autonomy:
Trusted to own data discovery, validation, and delivery end to end
Modern Cloud Stack:
Deep exposure to AWS-native analytics and AI platforms
Remote LATAM Role:
Fully remote with consistent ET collaboration
Fast-Paced & Collaborative:
Join a high-performing, agile product environment
We partner with innovative teams building modern, data-driven products — including advanced AI and generative solutions.