Analyst, Enterprise Data Analytics
Responsibilities
- Responsible for working cross-functionally to collect data and develop models to determine trends utilizing a variety of data sources
- Retrieves, analyzes and summarizes business, operations, employee, customer and/or economic data in order to develop business intelligence, optimize effectiveness, predict business outcomes and decision-making purposes
- Involved with numerous key business decisions by conducting the analyses that inform our business strategy
- This may include: impact measurement of new products or features via normalization techniques, optimization of business processes through robust A/B testing, clustering or segmentation of customers to identify opportunities of differentiated treatment, deep dive analyses to understand drivers of key business trends, identification of customer sentiment drivers through natural language processing (NLP) of verbatim responses to Net Promotor System (NPS) surveys and development of frameworks to drive upsell strategy for existing customers by balancing business priorities with customer activity
- Has in-depth experience, knowledge and skills in own discipline
- Usually determines own work priorities
- Acts as resource for colleagues with less experience
- You will be part of an adaptable group that influences the implementation, process development/improvement and compliance through data
- Works with business leaders and stakeholders to understand data and analysis needs and develop technical requirements
- Determines relevancy of data and identifies alternative data sources as needed to ensure analytics requested by business stakeholders can be completed
- Analyzes large, complex data to determine actionable business insights using self-service analytics and reporting tools
- Queries disparate big data platforms such as Teradata, SQL Server, Hadoop, and AWS
- Combines data as needed from various data sources to complete analysis
- Identifies key business drivers and insights by conducting exploratory data analysis and hypothesis testing
- Develops models using machine learning to predict key business metrics
- Communicates findings clearly and concisely through narrative-driven presentations and effective data visualizations to executives and stakeholders
- Establish and maintain metadata standards, ensuring consistent and accurate documentation of data assets, data lineage, and data definitions
- Promotes and evangelizes a culture of excellence, data driven discussions, healthy skepticism, intellectual curiosity, knowledge sharing, and teamwork
- Stays current with emerging trends in analytics, statistics, and machine learning and applies them to business challenges
- Consistent exercise of independent judgment and discretion in matters of significance
- Regular, consistent and punctual attendance
- Must be able to work nights and weekends, variable schedule(s) as necessary
- Other duties and responsibilities as assigned
Skills
- Data Cleansing
- Tableau (Software)
- Python (Programming Language)
- ETL Pipelines
- Analytics
Benefits
- 💼 Medical & Dental
- 💰 401(k) Savings Plan
- 🌴 Generous paid time off
- 🎉 Life Milestones - from adoption assistance, childcare resources, pet insurance, and more, Comcast supports you at all life stages
- 📺 Courtesy Services - We offer all of our full-time employees in serviceable areas free digital TV and internet
- 🎟️ Discount tickets for Universal Resorts, including theme park tickets and onsite hotel rooms
- 💵 Primary Location Pay Range: $83,384.56 - $125,076.84
- Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus
- Additionally, Comcast provides best-in-class Benefits to eligible employees
Salary
$83,384.56 - $125,076.84 yearly
Published 18 days ago • Expires August 15, 2025 06:05