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 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.

Job Description

Key Responsibilities:

Dashboard and Reporting Development:

• Design and build interactive, insightful dashboards and reports using Tableau to visualize trends, patterns, and insights. Ensure data is presented in a user-friendly and accessible format.

Data Extraction and Analysis:

• Write, optimize, and maintain complex SQL queries to extract data from multiple sources, including relational databases, data warehouses, and Snowflake.

Data Quality Assurance:

• Develop and implement processes to monitor and maintain data quality across all data sources. Ensure that data governance and validation processes are in place to ensure data accuracy, completeness, and consistency.

Data Warehousing:

• Manage and optimize data warehouse solutions, primarily using Snowflake, to ensure that data is efficiently stored, processed, and easily retrievable for analysis.

Transaction Log Analysis:

• Work with application transaction logs to extract meaningful data insights, understanding and interpreting operational and event data for various applications and systems.

Collaboration with Stakeholders:

• Work closely with business units, product teams, and data engineers to understand data requirements and provide solutions that align with business objectives. Serve as a liaison to bridge technical and non-technical teams.

Continuous Improvement:

• Analyze existing processes and systems, identifying areas of improvement. Propose and implement enhancements to the BI platform and data pipelines to improve performance and usability.

Documentation:

• Maintain thorough documentation of BI processes, SQL queries, data models, and data sources. Ensure clear and up-to-date records of processes, procedures, and best practices.

Required Skills & Qualifications:

Tableau Expertise:

• Advanced proficiency in Tableau for building dynamic, interactive dashboards, with experience in creating complex visualizations and implementing best practices for data visualization.

SQL Mastery:

• Strong command of SQL, including writing, optimizing, and debugging complex queries for large datasets across relational databases and data warehouses.

Data Warehousing & Snowflake:

• Expertise in Snowflake for building, managing, and optimizing cloud-based data warehouses. Familiarity with data warehousing concepts and best practices for ETL (extract, transform, load) processes.

Data Quality & Governance:

• Experience implementing and maintaining data quality controls, with a focus on data accuracy, consistency, and completeness. Familiarity with data governance frameworks.

Application Transaction Logs:

• Proven ability to work with application transaction logs, extracting and analyzing data to derive insights from operational and event-driven datasets.

Analytical & Problem-Solving Skills:

• Ability to analyze complex data sets, identify patterns, and provide actionable insights. Critical thinking and strong problem-solving capabilities.

Communication & Collaboration:

• Excellent verbal and written communication skills. Able to translate technical findings into understandable terms for non-technical stakeholders.

Education:

• Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or a related field. A Master’s degree is a plus.

Preferred Qualifications:

• Experience with other BI tools (e.g., Power BI) and ETL tools.
• Familiarity with cloud-based data platforms beyond Snowflake (e.g., AWS Redshift, Google BigQuery).
• Experience working in Agile or Scrum environments.
• Certification in Tableau or SQL.

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, 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.

Employees at all levels are expected to:

• Understand our Operating Principles; make them the guidelines for how you do your job.
• Own the customer experience - think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.
• Know your stuff - be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.
• Win as a team - make big things happen by working together and being open to new ideas.
• Be an active part of the Net Promoter System - a way of working that brings more employee and customer feedback into the company - by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.
• Drive results and growth.
• Respect and promote inclusion & diversity.
• Do what's right for each other, our customers, investors and our communities.

Disclaimer:

• This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.

Skills

Big Data, Business Intelligence Tools, Data Analytics, Data Insights, Data Visualization, Structured Query Language (SQL), Tableau (Software)

Compensation

National Pay Range: $62,698.24 USD-$146,949.00 USD

Comcast intends to offer the selected candidate base pay dependent on job-related, non-discriminatory factors such as experience. Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work.    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.  We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most.  That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details.

The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later.

Education

Bachelor's Degree

While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.

Certifications (if applicable)

Relative Work Experience

5-7 Years

Comcast is proud to be an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law. Comcast will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law, including the Los Angeles Fair Chance Initiative for Hiring Ordinance and the San Francisco Fair Chance Ordinance.