Principal, Ecommerce Analytics at DIRECTV
El Segundo, California, USA -
Full Time


Start Date

Immediate

Expiry Date

06 Dec, 25

Salary

232415.0

Posted On

07 Sep, 25

Experience

7 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

DIRECTV is seeking a Principal Analyst of Ecommerce to gather, analyze, and interpret data on the performance of our website and other digital properties. The Ecommerce Analytics team ensures that our data is complete and accurate, creates automated reporting, and conducts ad-hoc analysis to understand user behavior and assists the organization in making data-led decisions to improve performance.

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Responsibilities
  • Create Dashboards and conduct analysis of business performance and user behavior on the DIRECTV website and other digital properties using various analytics tools, including PowerBI, Google Analytics, and Quantum Metric.
  • Analyze business performance and conduct research to explain variances in performance versus our operational plan and to uncover opportunities for improvement.
  • Proactively identify opportunities to use analysis to identify friction points in the online customer journey and make data-supported recommendations for website changes to improve customer experience and conversion rates.
  • Provide technical expertise and write custom queries (SQL) to gather and structure data to enable automated reporting in PowerBI and to prepare data for advanced analytics techniques.
  • Identify and research opportunities to leverage Artificial Intelligence to improve efficiencies and expand the capabilities of the Ecommerce Analytics team.
  • Identify opportunities for process improvement in data collection, ETL, and dashboard design to ensure data quality while also enabling advanced segmentation of our data.
  • Serve as the liaison between business and IT teams to gather and translate business requirements into robust technical solutions for addressing data quality issues and creating new data types for analysis.
  • Developing and presenting learnings from your analyses, including actionable insights and recommendations.
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