Remote Data Analytics Engineer: Global Insights Platform

directtravel; United States; Remote; USD 120,000 - 150,000; Full time

Job summary

Direct Travel is seeking a Data Analytics Engineer to help design, build and deliver a global analytics platform. You’ll craft embedded analytics applications and self‑service visuals for thousands of clients while collaborating across engineering and data teams.

Responsibilities include data collection and processing across data marts, developing key visualizations and reports, and driving data-driven improvements with stakeholders. This role offers remote work and global impact.

Qualifications

• Bachelor’s degree in IT/CS/Data Science or equivalent experience.
• Proficient in SQL-based and document-oriented databases.
• Experience with Python, R or Scala.
• Experience with VueJS/React and front-end/backend development.
• Understanding of SDLC and Git/SCM.
• Cloud experience with AWS/Azure/GCP.
• Experience with Looker/Tableau/PowerBI.
• Desirable governance frameworks for analytics data products.
• Strong diagnostic and performance tuning skills.
• Experience building data products integrating BI platforms.

Responsibilities

• Data collection and processing across data marts.
• Develop visualizations, reports, modeling and performance optimizations.
• Collaborate with IT and business units to deliver insights.
• Identify trends in IT data to drive improvements.
• Provide industry insights through analytics representations.

Skills

Databases

Python/R/Scala

Web development

Git SCM

Cloud platforms(AWS/Azure/GCP)

Looker/Tableau/PowerBI

Snowflake/Data Lake

Data modeling/semantic models

SQL/Query tuning

Communication skills

Attention to detail

Education

Bachelor’s degree in IT/CS/Data Science

Tools

LookML

Looker

Power BI

Snowflake

DataBricks

Azure Data Lake

Job description

Direct Travel is seeking a Data Analytics Engineer to help design, build and deliver a global analytics platform. You’ll craft embedded analytics applications and self‑service visuals for thousands of clients while collaborating across engineering and data teams.

Responsibilities include data collection and processing across data marts, developing key visualizations and reports, and driving data-driven improvements with stakeholders. This role offers remote work and global impact.