Senior Data Analyst

Unosquare; A distancia; MXN 400,000 - 600,000; Jornada completa

Descripción de la vacante

A leading technology firm in Xico seeks a Senior Data Analyst to support a recognized client in the education sector. The role requires over 5 years of data analytics experience, strong SQL skills, and proficiency with AWS. You will create dashboards to visualize data and help drive decision-making in a collaborative and agile environment. This fully remote position offers a long-term career path and various benefits based on location.

Servicios

100% remote job

Long-term job

Career path

Formación

• 5+ years of hands-on data analytics experience.
• Expert-level SQL skills required.
• Experience with AWS services for data querying.

Responsabilidades

• Support client in analyzing product usage and performance.
• Create dashboards to visualize data.
• Translate business goals into technical data requirements.

Conocimientos

Data analytics experience

Dashboard creation

SQL

AWS Aurora

DynamoDB

Data validation

Communication skills

Experience in AI

Herramientas

Amazon QuickSight

Descripción del empleo

Role Overview

We are looking for a Senior Data Analyst to support a client in the education and research sector, globally recognized for its impact on leadership development, innovation, and data-driven decision-making. The client operates in a highly analytical and mission-driven environment and is currently investing heavily in AI and Generative AI solutions to better understand product usage, adoption, and performance.

Qualifications & Experience

• 5+ years of hands‑on data analytics experience.
• Experience creating dashboards for data visualization.
• Expert‑level SQL.
• Experience querying AWS Aurora, DynamoDB, and Athena.
• Ability to work with complex data models (joins, foreign keys, parent‑child relationships).
• Experience collaborating with developers to request database views or schema changes.
• Experience designing or supporting dashboards in Amazon QuickSight (or similar BI tools).
• Strong experience with data validation, QA, and troubleshooting.
• Ability to translate business goals into technical data requirements.
• Strong documentation and communication skills.
• Experience in AI, machine learning, or digital product analytics environments (preferred).
• Ability to work across time zones and manage multiple priorities.

Work Environment

Remote (must be available 9 am–5 pm Eastern Time).

Collaborative, agile, and high‑performing AI product environment.

We Offer

• 100 % remote job.
• Long‑term job.
• Career path.
• Other benefits may vary depending on the candidate’s location.