Summer Remote: Operational Analytics Intern

DIRECTV; Little Rock (AR); Remote; USD 34,000 - 47,000; Full time

Job summary

DIRECTV is offering a Summer Intern position in Operational Analytics. You’ll work on KPI analytics, financial analysis, and customer segmentation to influence DIRECTV FOR BUSINESS outcomes.

The role requires strong data skills and cross-functional collaboration in a remote setting. Ideal candidates are pursuing a Math, Engineering, Data Analytics, or Data Science degree, with Python/SQL, Excel, and Power BI proficiency, plus excellent communication and organizational abilities for virtual

Qualifications

• Pursuing a 4-year undergraduate or advanced degree in Math, Engineering, Data Analytics, or Data Science.
• Strong passion for numbers and data with experience in analytics and visualization.
• Comfortable presenting to leaders.
• Excel and PowerPoint proficiency.
• Proficiency in Python and SQL (Databricks is a plus).
• Familiar with Power BI and data storytelling.
• Solid written and verbal communication; able to collaborate virtually.
• Organized with the ability to prioritize tasks.

Responsibilities

• Analytical work to understand the drivers of the performance - KPI analytics.
• Conduct deep financial analysis around commitments and projects that drive financial performance.
• Deep segmentation of customer base to understand impacts to customer experience.

Skills

Data analytics

Data visualization

Presentation skills

Cross-functional collaboration

Written and verbal communication

Time management

Education

Undergraduate or graduate degree in Math/Engineering/Data Analytics/Data Science

Tools

Python

SQL

Databricks

Power BI

Excel

PowerPoint

Job description

DIRECTV is offering a Summer Intern position in Operational Analytics. You’ll work on KPI analytics, financial analysis, and customer segmentation to influence DIRECTV FOR BUSINESS outcomes.

The role requires strong data skills and cross-functional collaboration in a remote setting. Ideal candidates are pursuing a Math, Engineering, Data Analytics, or Data Science degree, with Python/SQL, Excel, and Power BI proficiency, plus excellent communication and organizational abilities for virtual