DATA ANALYST

About the role

Collaborate with clients and cross-functional teams to understand complex business challenges and design scalable, sustainable analytical solutions to support strategic decision-making. Analyze and interpret statistical data to address business problems and transform raw data into actionable insights using advanced statistical methods.

Responsibilities

• Develop predictive and exploratory models using tools such as Python, R, SQL, and Tableau, applying techniques including machine learning, data mining, and advanced analytics.
• Design and execute validation strategies to ensure model accuracy, as well as implement automated workflows for ongoing solution performance and maintenance.
• Manage end-to-end project delivery using project management principles, including scope planning, risk mitigation, and stakeholder coordination.
• Conduct user training sessions, gather client feedback, prepare detailed documentation, and develop transition plans to support successful solution deployment and handover.
• Travel to various unanticipated locations throughout the USA, with up to 25% limited domestic travel per year to client sites based on client and/or project requirements.

Requirements

• Bachelor's Degree in Engineering, Science, or Computer Engineering.
• 3 Years Of Work Experience

Skills

• Python
• R
• Tableau
• Power BI
• Spark SQL
• BigQuery
• Agile methodologies
• ETL
• SSIS
• Airflow
• Advanced Excel functions
• Pivot tables
• Data analysis
• Dashboard creation
• Real-time reporting

Schedule

Working Hours: 8:00 AM – 5:30 PM, Monday–Friday, 40 hours/week, Full-Time, located in Houston.