Sr. Analytics Engineer

Make your mark at Comcast -- a Fortune 30 global media and technology company. From the connectivity and platforms we provide, to the content and experiences we create, we reach hundreds of millions of customers, viewers, and guests worldwide. Become part of our award-winning technology team that turns big ideas into cutting-edge products, platforms, and solutions that our customers love. We create space to innovate, and we recognize, reward, and invest in your ideas, while ensuring you can proudly bring your authentic self to the workplace. Join us. You’ll do the best work of your career right here at Comcast. (In most cases, Comcast prefers to have employees on-site collaborating unless the team has been designated as virtual due to the nature of their work. If a position is listed with both office locations and virtual offerings, Comcast may be willing to consider candidates who live greater than 100 miles from the office for the remote option.)

Job Summary

The Analytics Engineer will be a key contributor to the Wireless Solutions and Connectivity Engineering team, responsible for designing and implementing robust analytics solutions to support strategic decision-making and operational efficiency. This role combines expertise in data engineering, ETL pipeline management, solution architecture, and data visualization to transform complex datasets into actionable insights. Ideal candidates will possess a strong technical background, coupled with hands-on experience in data science methodologies. The Analytics Engineer will demonstrate the ability to design scalable data solutions, manage cross-functional projects, and effectively communicate complex analytical results to non-technical stakeholders. A bachelor's degree is required, with a preference for candidates holding a master’s degree in a relevant field.

Job Description

Core Responsibilities:

• Design, build, and maintain scalable, reliable ETL pipelines to ingest and process large datasets from diverse sources.
• Optimize data workflows for performance, accuracy, and scalability.
• Ensure compliance with data governance standards and best practices.
• Solution Architecture
• Design and implement data solutions that align with business objectives and technical requirements.
• Collaborate with cross-functional teams to define data models, storage strategies, and integration frameworks.
• Develop robust documentation for system designs and processes.
• Build and manage data infrastructures, including databases, data warehouses, and data lakes.
• Implement data quality frameworks to ensure clean, consistent, and usable data.
• Partner with stakeholders to define and implement advanced analytics capabilities.
• Data Visualization
• Create interactive and user-friendly dashboards, reports, and visualizations to communicate key insights.
• Work with stakeholders to design visual outputs that support business decision-making.
• Maintain visualization tools, ensuring updates reflect the latest data trends.
• Develop predictive and prescriptive models to solve complex business challenges.
• Use advanced statistical and machine learning techniques to analyze large datasets.
• Present insights and recommendations in clear, actionable formats.
• Work closely with engineering, product, and leadership teams to define and deliver analytics solutions.
• Act as a subject matter expert on data-driven decision-making processes.
• Provide mentorship and guidance to junior team members.

What you’ll need:

• A Master’s degree (or above) in an analytics field (e.g., Computer Science, Statistics, Economics, etc.) is strongly preferred
• 3+ years of experience of leading machine learning or predictive projects to meet the customers’ business requirements or related leadership of technical teams
• 5+ years experience using machine learning techniques or advanced analytics techniques as a data scientist or engineer
• Demonstrated ability to lead teams and projects with successful, measurably impactful deliveries
• Proficiency in analytics tools (e.g., Python, SQL, Spark) and visualization platforms (e.g., Tableau, Power BI).
• Strong understanding of cloud platforms and modern data architectures (e.g., AWS, GCP, Azure).

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.

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 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.

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.

Comcast is an EOE/Veterans/Disabled/LGBT employer.

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.

Skills:

Data Engineering; Data Visualization; Data Science; Programming Languages; Data Analytics

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.

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.

Relevant Work Experience

7-10 Years