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 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.