Join the CEX.IO team as a Data Analyst and gain hands-on experience working with business-critical data in a supportive and growth-oriented environment.

Requirements

Basic knowledge of Python – variables, loops, functions, basic file handling (CSV/JSON), scripting
Ability to write simple to intermediate SQL queries – SELECT, JOIN, GROUP BY, aggregations
Familiarity with relational databases such as PostgreSQL or BigQuery
Introductory knowledge Git – basic commands like add, commit, push, working with branches
Introductory knowledge of JavaScript – variables, functions, DOM events
Interest in working with data pipelines, APIs, automation, and product tracking
Willingness to learn and adapt in a fast-paced and hands-on environment

Nice to have

Exposure to Google Tag Manager (GTM)
Familiarity with GA4, Mixpanel, or Amplitude for product analytics
Experience building dashboards in Power BI, Looker Studio, or Tableau
Conceptual understanding of ETL workflows – extract/transform/load logic
Experience with APIs – e.g., working with HTTP requests via Python
Interest in Docker, Terraform, and basic infrastructure-as-code practices

Responsibilities

Assist in the setup, maintenance, and monitoring of ETL pipelines under the supervision of senior team members
Write basic Python scripts to collect, process, or move data between APIs, files, and databases
Support the configuration, integration, and debugging of tracking scripts using Python, Google Tag Manager, and internal web services for product analytics
Contribute to the preparation of data for dashboards and reporting, including SQL queries and data cleanup
Collaborate on diagnosing and resolving data issues, inconsistencies, or tracking gaps
Participate in API-based integrations for pulling external data or sending data to third-party services
Learn and gradually contribute to infrastructure tasks, including automation, containerization, and configuration (Docker, Terraform)
Follow coding and documentation best practices to ensure clean, reproducible work