Analyst 4, Enterprise Data Analytics - VIRTUAL

October 19, 2024

This role sits within Comcast's West Division finance organization. Our diverse team leads a variety of data-driven work for the entire West Division of Comcast. We take extremely large, complex datasets and turn them into a variety of types of tools, predictions, and recommendations for one of the largest businesses in the country. We use our technical expertise to give our colleagues in other disciplines the answers they need to do their jobs in better, more data-driven ways.
Job Description

Core Responsibilities

- Participate in defining business intelligence requirements for projects and data requests.
- Formulate and test hypotheses, weigh alternatives and determine appropriate recommendations for actionable insights.
- Participate in multiple enterprise-wide projects by providing data analysis to project leaders.
- Provide training to and act as technical resource for team members.
- Produce an often-complex collection of reports, graphs, summaries and presentations that convey analytic results and align with business needs.
- Design new methods and best practices for analysis and presentation of comparative data.
- Vet recommendations to determine viable options and provides business case to management.
- Serve as a team leader within a work group or on cross-functional teams; accept team lead stretch assignments. Lead discussions and presentations of results, recommendations and business insights to broader senior leadership team.
- Perform in-depth research on root cause of data anomalies that are uncovered through normal course of analysis.
- Collaborate with both the analytic organization and its technology partners to define and publish complex data products.
- Write complex SQL to query large data platforms such as Teradata and SQL server to obtain data necessary for analysis. Combine data as needed from disparate data sources to complete analysis.
- Create technical documentation (internal).
- Consistently exercise independent judgment and discretion in matters of significance.
While we expect these to be the role's typical duties, team members may sometimes have to tackle other responsibilities as necessary, and occasionally overtime or non-standard work hours might be needed.
Traits We Value For this Role Include:
- An advanced degree in a quantitative field (e.g., economics, engineering, the sciences, statistics, etc.), or equivalent practical experience, that demonstrates you can tackle new problems from end-to-end in a quantitative way with modern tools.
- Fluency in SQL or a similar database language. We use Teradata, Trino, and SQL Server extensively, and other databases as needed.
- Fluency in Python (and its major data packages) or a similar general purpose scripting language. Our team mostly uses Python for data-analysis-related scripting and a bit of C# for some tools.
- Experience translating complex analysis results into easy-to-understand business recommendations comprehensible to a non-technical audience, using great visualizations in the process.
- Experience designing processes to extract, transform, and load complicated data from disparate data sources.
- Comfort selecting the right statistical tools given a data analysis problem, and knowledge of how to quantify your confidence in measurements obtained with those tools.
- Comfort working in, and perhaps leading, teams of varying skill levels and disciplines.
- Eagerness to teach yourself a difficult new skill when the best tool for the job is a totally new one.
- Understanding of basic machine learning best-practices. Our team is not an ML engineering team, but we sometimes need to make forecasts or predictions.
- Experience documenting and teaching your complex knowledge or analysis in a way that benefits your whole team.
- Experience using version control systems such as GitHub to manage your code.
Our team values team members who are enthusiastic about learning new skills and solving problems with a diversity of approaches. We know that our team is better with many different types of problem solvers, and we know that no one has all the answers. We don't have a particular "perfect" candidate in mind, but rather want to encourage you to apply even if you might not match every bullet point above. If you're passionate about making an impact with data, then we look forward to reviewing your application!
As part of our team, you'll enjoy:
- A friendly, inclusive team environment that cares about your success
- An inclusive company culture that deeply values equity at all levels
- Financial benefits including equity, bonuses, discounted stock purchase plans, and excellent retirement benefits.
- A flexible, remote working environment with an allowance for home office equipment
- Generous paid-time-off which increases with time spent employed at Comcast
- Excellent medical, life, dental, prescription, disability, and vision insurance options
- Perks including tuition assistance, discounts, theme park and resorts tickets and discounts, and more

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.

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. 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.

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.

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