Analyst, Talent & Performance Management

About the Role

Key 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, 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.
• Exercise of independent judgment and discretion in matters of significance.
• Work nights and weekends, variable schedule(s) as necessary.
• Understand operating principles and make them the guidelines for how you do your job.
• Own the customer experience by thinking and acting in ways that put customers first.
• Be enthusiastic learners, users and advocates of Comcast's technology, products, and services.
• Work as part of a team and be open to new ideas.
• Participate in the Net Promoter System to incorporate customer and employee feedback.
• Drive results and growth.
• Respect and promote inclusion & diversity.
• Do what's right for each other, our customers, investors, and communities.

Requirements

• Experience working with data and analysis needs, developing technical requirements.
• Ability to analyze large, complex data to determine actionable insights.
• Experience querying big data platforms such as Teradata, SQL Server, Hadoop, and AWS.
• Skills in combining data from multiple sources and conducting exploratory data analysis and hypothesis testing.
• Ability to develop forecasting models to predict sales, demand, and other metrics.
• Strong communication skills to present findings through narratives and data visualizations.
• Knowledge of analytics, statistics, and machine learning trends.
• Bachelor's Degree (preferred) or relevant coursework and experience.
• 2-5 years of relevant work experience.
• Customer Experience (CX); Big Data; Analytics skills.

Nice to Have

• Experience with natural language processing (NLP) of verbatim responses.
• Experience with normalization techniques, A/B testing, clustering, or segmentation.
• Knowledge of business impact measurement and optimization techniques.

Qualifications

• Bachelor's Degree (preferred).
• 2-5 years of relevant professional experience.

Benefits & Perks

• Paid Time off for relaxation, recovery, or caring for others.
• Physical Wellbeing support programs.
• Financial Wellbeing support tailored to individual needs.
• Emotional Wellbeing benefits.
• Life Events + Family Support benefits.