Sr. Data Intelligence Engineer - Analytics & Reporting

Comcast • Philadelphia, PA

23h • $128,123 - $192,184

About The Position

Comcast Business offers a suite of Connectivity, Communications, Networking, Cybersecurity, Wireless, and Managed Solutions to help global organizations of all sizes prepare for what’s next. Powered by the nation’s largest Gig-speed broadband network and backed by 24/7 customer support, Comcast Business is the nation’s largest technology provider to small businesses and one of the leading service providers to the Enterprise market. Comcast Business has been consistently recognized by industry analysts and associations as a leader and innovator, and one of the fastest growing providers of Ethernet services. Job Summary The Sr. Data Intelligence Engineer will be responsible for transforming raw data into actionable insights that drive strategic decisions. This role focuses on identifying and analyzing meaningful data, integrating diverse sources, and delivering accurate, visually compelling analytics to support product performance, usage trends, and feature adoption. This is a hands-on role that blends data engineering, systems integration, and business insight. Perfect for someone who thrives on turning raw data into actionable intelligence.

Requirements

• Strong experience working with structured and unstructured data (CSV, JSON, XML, CDR)
• Experience with ELK to retrieve unstructured data
• Proficiency in SQL and database technologies (e.g., PostgreSQL and MySQL)
• Experience with API integration and data extraction from third party applications
• Experience with data visualization tools (e.g., Kibana and Grafana)
• Familiarity with data normalization, data conversion, and schema alignment
• Experience with scripting languages such as Python or Bash
• Strong analytical and problem-solving abilities with attention to detail
• Ability to work independently and manage multiple priorities in a fast-paced environment
• Excellent communication skills for documenting processes and presenting findings
• Collaborative team player with a proactive and solution-oriented mindset
• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field—or equivalent work experience
• 3+ years of experience in data engineering, analytics, or a related role
• 7-10 Years Relevant Work Experience

Nice To Haves

• Understanding of network protocols and service monitoring tools is a plus
• Experience working with telecom or VoIP data is highly preferred

Responsibilities

• Identify and define key data elements for tracking product performance, usage trends, and feature utilization.
• Access and integrate data from multiple sources, including databases, third-party applications, and SaaS platforms.
• Correlate data across systems to provide accurate and comprehensive business insights.
• Design and develop dashboards, visualizations, and reports that enable data-driven decision-making.
• Build forecast models to predict performance and utilization trends.
• Detect inconsistencies and anomalies by correlating data from different sources.
• Ensure data accuracy, integrity, and consistency across all reports and dashboards.
• Document data models, workflows, and integration processes for transparency and scalability.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees