
Senior Data Intelligence Engineer – Analytics & Reporting
NBCUniversal
full-time
Posted on:
Location Type: Hybrid
Location: Mount Laurel • New Jersey, Pennsylvania • 🇺🇸 United States
Visit company websiteSalary
💰 $128,122 - $192,184 per year
Job Level
Senior
Tech Stack
GrafanaMySQLPostgresPythonSQL
About the role
- 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.
Requirements
- 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
- 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
- Understanding of network protocols and service monitoring tools is a plus.
Benefits
- Health insurance
- 401(k) matching
- Flexible working hours
- Paid time off
- Professional development opportunities.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data engineeringdata analyticsSQLPostgreSQLMySQLELKdata visualizationKibanaGrafanaPython