Sr. Data Analyst

Job Description

Responsibilities

We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our theme parks and consumer experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, MSNBC, CNBC, NBC Sports, Telemundo, NBC Local Stations, Bravo, USA Network, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through Universal Filmed Entertainment Group and Universal Studio Group, and have world-renowned theme parks and attractions through Universal Destinations & Experiences. NBCUniversal is a subsidiary of Comcast Corporation.

Here you can be your authentic self. As a company uniquely positioned to educate, entertain and empower through our platforms, Comcast NBCUniversal stands for including everyone. Our Diversity, Equity and Inclusion initiatives, coupled with our Corporate Social Responsibility work, is informed by our employees, audiences, park guests and the communities in which we live. We strive to foster a diverse, equitable and inclusive culture where our employees feel supported, embraced and heard. Together, we'll continue to create and deliver content that reflects the current and ever-changing face of the world.

NBC Sports Next is where sports and technology intersect. We're fueled by our mission to innovate, create larger-than-life events and connect with sports fans through technology. We're a subdivision of NBC Sports and home to leading technology platforms and digital applications for Youth & Recreational Sports; Golf; and Emerging Media.  

At NBC Sports Next, we equip more than 30MM players, coaches, athletes, sports administrators and fans in 40 countries with more than 25 sports solution products, including SportsEngine, the largest youth sports club, league and team management platform; SportsEngine Play, the first ever streaming service for youth and amateur sports, GolfNow, the leading online tee time marketplace and provider of golf course operations technology; and GolfPass the ultimate golf membership that connects golfers to exclusive content, tee time credits, instructional content and more.  

Golf fuses the team behind products and services like GolfNow, TeeOff and GolfPass, which better connects golfers and golf facilities around the world through innovative solutions like cloud-based golf course management and SmartPlay contactless technology and services that create optimum golfing experiences. 

Come join us as we work together as one team to innovate and deliver what's Next.

Job Description

This Senior Data Analyst position is part of the Data Strategy and Monetization/Decision Science team and will be responsible for supporting the development and maintenance of the inhouse advanced pricing and marketing solutions.

This role will help the team expand our current analytic capability within a dynamic and innovative organization and be critical in developing unique tools that will provide value for both internal and external business partners.

Additional responsibilities include:
• Develop queries to pull, integrate and prepare large data sets for analysis and/or to feed existing or newly developed models.
• Analyze complex data sets and extract key insights related to different arms of the business.
• Troubleshoot issues and anomalies from existing models, explain and/or refine models to reduce anomalies.
• Establish, monitor, communicate, and apply performance KPIs for the revenue management models.
• Develop, modify, or run ML, statistical and optimization problems such as linear/non-linear optimization, logistic regression, random forests, XGBoost, econometric models, segmentation, CART analysis, K-means, marketing mix modeling and churn models.
• Collaborate with data engineering and other internal and external stakeholders to gather requirements, develop solutions and implementing the finalized models into production.
• Create presentations summarizing modeling effort to Senior Management, internal and external clients.

Qualifications

Basic Requirements:
• Master's degree in Operations Research, Industrial Engineering, Statistics, Mathematics, Economics, Data Science, or a related field
• Completed internship with experience in a related area or industry
• Strong data engineering skills: querying, data preparation and aggregation, analyzing large data sets, etc.
• Programming experience in Python or R for data manipulation, visualization and modeling
• Advanced skills in SQL to manipulate data, i.e. writing complex queries, creating views and stored procedures based on defined logic, and optimizing existing queries for performance and scalability
• Advanced skills in Excel, i.e. familiar with pivot tables, conditional formatting, and formulas (VLOOKUP, SUMIFS, IFERROR, etc.)

Desired Requirements:
• Pricing and/or marketing analytics experience is preferred.
• Familiarity with golf, entertainment and/or youth sports leagues
• Familiar with data visualization tools, like Tableau, etc.
• Proven ability to work in a cross-functional team environment.

Additional Requirements:
• Hybrid: This position has been designated as hybrid, generally contributing from the office a minimum of three days per week.
• Must be willing to work in the Orlando, FL office.

Additional Information

NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law.

If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access nbcunicareers.com as a result of your disability. You can request reasonable accommodations by emailing [email protected].
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Jobcode: Reference SBJ-d2zj35-13-59-79-32-42 in your application.