
Data Analyst
CEX.IO
full-time
Posted on:
Location Type: Remote
Location: United Kingdom
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About the role
- 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
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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonSQLETLAPIsDockerTerraformJavaScriptdata pipelinesdata cleanupdata analytics
Soft skills
collaborationproblem-solvingadaptabilitywillingness to learnattention to detail