Data Analytics & Platform Engineer, are you there?
Hey there! We're looking for a Data Analytics & Platform Engineer to join our client’s team. If you’re passionate about building reliable data systems, love solving complex analytical problems, and want to contribute to cutting-edge AI and analytics products, keep reading!

🌎 100% Remote
💵 Salary in USD
📍 LATAM (preferred)
🕒 Full Time
🇬🇧 Advanced English

About our client 🤓
Our client is a leading independent research firm focused on the Telecommunications, Media, and Technology (TMT) sectors globally, with offices in New York, London, and Singapore.
Their team is made up of top-ranked analysts who have led research efforts at world-class investment firms. They’re now on a mission to become a best-in-class data-driven company, developing a global data analytics strategy to generate better insights, create proprietary datasets, and build differentiated products that empower decision-making across the investment landscape.

About Athyna 🙋🏻
Athyna is a Global Talent Platform that connects top-tier talent with incredible job opportunities around the world. We’re passionate about the future of work, so we’re a fully remote, globally distributed team across 5 continents.

We believe in people, value freedom, integrity, and quality, and strive to make an impact that matters.

At Athyna, we genuinely care about everyone on our team and are committed to creating a positive, supportive, and inclusive environment.

In your day-to-day 🚀

Maintain, develop, and optimize the company’s AWS-based data environment (S3, Athena, Glue, Lambda), ensuring reliability, performance, and cost efficiency.
Write and maintain SQL and Python scripts for data ingestion, cleaning, transformation, and analysis.
Collaborate with Data Analysts and AI Engineers to deliver clean, well-structured datasets powering dashboards, automations, and ML workflows.
Support the development of new features, integrating analytical and statistical components into Tableau or Retool applications.
Implement and document data quality checks, workflows, and AWS configurations to ensure transparency and reliability.
Partner with leadership and product teams to propose process improvements and build new data capabilities.
Lead the integration of AI/ML techniques into analytics workflows, driving predictive insights.
Stay up to date with the latest technologies in data engineering, AI, and cloud computing.

Skills you have ✅

Bachelor’s or Master’s degree in Data Analytics, Computer Science, Engineering, or related field.
3+ years of experience in a data-focused role (analytics engineer, data analyst, or hybrid data generalist).
Strong Python (pandas, NumPy, matplotlib) and SQL skills for data manipulation and analysis.
Working knowledge of AWS (S3, Athena, Glue, Lambda).
Solid understanding of data modeling, validation, and pipeline reliability.
Experience implementing AI and machine learning models.
Excellent problem-solving, analytical thinking, and communication skills.
Fluency in English.

Skills that will make you stand out 🌟

Experience with Tableau, Retool, or similar BI tools.
Familiarity with IAM, cost management, and lightweight DevOps in AWS.
Exposure to AI/ML workflows and model integration into production.
Experience with financial, telecommunications, or geospatial datasets.

You’ll be entitled to 🎁

Paid Time Off (PTO).
National holidays off.
Remote-first work environment.
Opportunities for professional growth and continuous learning.
Supportive and collaborative team culture.

Data Analyst & Platform Engineer