Data Analytics Engineer: Transform & Visualize Travel Data

Direct Travel; United States; On-site; USD 110,000 - 170,000; Full time

Benefits offered by this job

Total Rewards Package

Wellness program

DE&I initiatives

Job summary

Direct Travel is seeking a Data Analytics Engineer to transform data assets and deliver insights that inform strategic decisions across travel programs.

You will collect data from various data marts, build visualizations and reports, and collaborate with IT and business units to enable analytics-driven improvements. Strong SQL, Python/R/Scala, and cloud data platform experience are essential for success.

Qualifications

• Bachelor’s degree in IT, CS, Data Science or related field or equivalent experience.
• Strong SQL and database skills across RDBMS and document stores.
• Proficient in Python, R or Scala for data analytics engineering.
• Experience with web front-end frameworks like VueJS or React.
• Familiar with Git or other SCM and SDLC.
• Experience with cloud data platforms (AWS/Azure/GCP).
• Knowledge of Looker/Tableau/PowerBI and semantic modeling.
• Ability to build scalable data products and governance.

Responsibilities

• Collect and process data from multiple data marts.
• Develop visualizations, reports, models and performance improvements.
• Collaborate with IT and business units to gather data requirements.
• Identify trends to drive process improvements and policy development.
• Provide insights through clear analytics representations of core travel data.

Skills

SQL & Databases

Python/R/Scala

Data Modeling

Looker/Tableau/PowerBI

Snowflake/AWS/Azure/GCP

Git SCM

VueJS/React

Communication

Education

Bachelor's degree in IT/CS/Data Science

Tools

Snowflake

Looker

LookML

Tableau

PowerBI

Databricks

Job description

Direct Travel is seeking a Data Analytics Engineer to transform data assets and deliver insights that inform strategic decisions across travel programs.

You will collect data from various data marts, build visualizations and reports, and collaborate with IT and business units to enable analytics-driven improvements. Strong SQL, Python/R/Scala, and cloud data platform experience are essential for success.