Sr. Analyst, Data Analytics & Business Intelligence

Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast.

Job Summary

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 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.

Job Description

Core Responsibilities:

• 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, Snowflake, SQL Server, Hadoop, and AWS.
• Combines data as needed from disparate data sources to complete analysis.
• Identifies key business drivers and insights by conducting exploratory data analysis and hypothesis testing.
• Develops forecasting models to predict sales, demand and other key business metrics.
• Analyzes the results of campaigns, offers or initiatives to measure their effectiveness and identifies opportunities for improvement.
• Communicates findings clearly and concisely through narrative-driven presentations and effective data visualizations to Company executives and decisionmakers.
• 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.
• This position is ineligible for visa sponsorship.  To be considered for this role, you must be legally authorized to work in the United States and not require sponsorship for employment now or in the future.

Required:

• Advanced SQL skills (Aggregation, Partitioning, Pivoting, ETL, CTE, Data Quality/EDA, etc.)
• Experience with Data-Driven decision making, process optimization and operational excellence approaches (BADIR, Lean, Six Sigma (DMAIC))
• Big Data Visualization (Tableau, PowerBI, Looker) Experience
• Ad Hoc Data Analytics
• Experience in communicating complex stories and solutions through data to all levels of employees including executives

Desired:

• Experience within Teradata, Snowflake, Azure Cloud Experience
• Python or other programming language experience or familiarity
• Statistics experience or background
• Ability to map complex business problems to data & AI solutions
• Familiarity with customer service interactions and frontline operations
• Growth Mindset and open to continuously learning new approaches, competitors and AI capabilities

Employees at all levels are expected to:<