Data Analyst 2
1 week ago
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. Works with moderate guidance in own area of knowledge.Job Description
Core Responsibilities
- Collaborate with HQ teams to understand reporting needs and translate them into analytical dashboards and data models
- Build, maintain, and enhance Tableau dashboards with advanced functionality and visual storytelling techniques
- Develop and optimize complex SQL queries, ensuring efficient data processing and query performance
- Create and manage data sources by integrating multiple systems and datasets
- Work with cross-functional teams to ensure data accuracy, consistency, and completeness
- Continuously monitor and improve existing reports and data pipelines
- Document data definitions, report logic, and enhancements for transparency and knowledge sharing
- Provide insights and recommendations based on data trends, business KPIs, and performance metrics
Required Skills & Qualifications:
- Strong expertise in Tableau, including advanced features (LOD expressions, parameters, actions, complex calculations, performance optimization)
- Proficiency in SQL (advanced querying, optimization techniques, joins, window functions, etc.)
- Strong Excel skills (data manipulation, formulas, pivot tables, charts)
- Experience working with multiple data sources and large datasets
- Good understanding of data pipelines, reporting logic, and BI concepts
- Strong analytical thinking, problem-solving, and communication skills
Good to Have:
- Experience in Power BI or willingness to learn
- Exposure to data modeling and ETL concepts
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.
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 benefits summary on our careers site for more details.
Education
Bachelor's DegreeWhile 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)
Relevant Work Experience
2-5 YearsComcast is 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.-
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