Business Intelligence Specialist at NBCUniversal

Mexico City, , Mexico -

Full Time

Start Date

Immediate

Expiry Date

14 Jul, 26

Salary

0.0

Posted On

15 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, BigQuery, Python, Power BI, DAX, Data pipelines, ETL, Data modeling, Automation, Predictive modeling, Exploratory data analysis, Statistical testing, Cloud environments, Data visualization, Analytical rigor

Industry

Entertainment Providers

Description

Company Description NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit www.nbcuniversal.com for more information. Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world. Job Description Role Purpose The BI Ops Specialist ensures the continuity, reliability, and quality of the analytical ecosystem for Mexico and LATAM, enabling strategic decision‑making across Marketing, Distribution, and Finance, in integrated collaboration with the Data Strategy team based in LA and London. Operating with high autonomy, this role connects territories, business teams, and data operations to foster a data‑driven, insight‑ready environment—consistent, scalable, and built for continuous improvement. Key Responsibilities Data Operations & Automation Operate and monitor multi‑territory data pipelines to ensure timely, accurate, and stable updates. Proactively detect and resolve anomalies (missing data, ID mismatches, numeric inconsistencies) and drive root‑cause fixes. Implement process automation to reduce manual work, increase reliability, and drive operational efficiency. Predictive Models Execution & Innovation Execute notebooks, scripts, and batch processes for training, scoring, and regenerating model outputs; validate integrity and standardize deliverables for business consumption. Innovate and experiment: explore and evaluate new approaches (e.g., neural networks and other ML techniques); perform exploratory data analysis (EDA) and statistical testing on new and existing data sources; and turn findings into scalable features, validation routines, and operating standards. Power BI, DAX & Data Visualization Maintain and optimize Power BI assets, including semantic modeling, DAX measures, and data visualization best practices to improve usability and performance. Ensure metric consistency and interpretability across MX & LATAM. Business Support & Cross‑Functional Collaboration Prepare and maintain inputs for weekly/regional deliverables to support BI operations and workflows. Meet with partner teams (Marketing, Distribution, and Finance) to capture priorities and translate them into clear data requirements (datasets, queries, dashboards, model inputs) to schedule and deliver the resulting data products that enable processes, analytics, and insights. Documentation, Standards & Continuous Improvement Maintain living documentation (processes, naming conventions, data structures, runbooks). Propose improvements that reduce manual steps, increase stability, and raise data quality and discoverability. Qualifications Required Skills & Experience 3+ years of hands‑on experience operating data pipelines and BI workflows in a cloud environment (GCP preferred), supporting multiple stakeholders (required). Bachelor’s degree in Business Intelligence, Analytics, Computer Science, Applied Mathematics, Statistics, Data Science, Engineering, or related field (preferred); or equivalent practical experience. Advanced SQL (BigQuery on GCP preferred): strong query design, optimization/partitioning, and data modeling across multiple and large datasets Python: hands‑on experience with EDA, ETL/orchestration, web scraping, visualization (e.g., Plotly), automation, and applied ML (nice to have). Power BI expertise: DAX, semantic modeling, and data visualization. Automation & orchestration: hands‑on experience scheduling, monitoring, and alerting for data workflows in cloud environments (GCP preferred). Strong analytical rigor, quality control discipline, and ability to manage multiple priorities. English (written & spoken) fluency required. Leadership & Culture Expectations At Universal Pictures, we value professionals who operate with autonomy, clarity, accountability, and a growth mindset. For this role, we expect: Autonomy & Ownership: You independently prioritize, troubleshoot, and deliver end‑to‑end with consistency. Clear, Constructive Communication: You align expectations early, escalate thoughtfully, and give/receive feedback constructively. Strong team player: You work well across teams, share knowledge, and help elevate operational standards. Continuous Improvement: You learn quickly, stay curious, adapt to change, and proactively improve processes. Integrity & Empathy: You act with honesty, respect, and inclusion; you build trust and psychological safety. Emotional Intelligence & Adaptability: You regulate under pressure, read context, and maintain a positive, solution‑oriented attitude. What We Offer Join a unique, industry‑first regional team modernizing how data is used across MX & LATAM—with real scope to design, scale, and measure new approaches. Cross‑team impact across local, regional, and international partners, aligning priorities and landing usable data products. Operational ownership to automate workflows and standardize best practices that scale across teams. A culture that values leadership, autonomy, accountability, and continuous development. Backing to experiment & innovate: propose, pilot, and codify ideas that raise reliability, speed, and insight quality. Hands‑on exposure to predictive models, cloud environments, and enterprise BI platforms. Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. 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 and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to [email protected]. Business Segment: Universal Film

Responsibilities

The BI Ops Specialist manages and optimizes data pipelines and analytical ecosystems to support strategic decision-making across Marketing, Distribution, and Finance. This role involves automating workflows, maintaining Power BI assets, and collaborating with cross-functional teams to deliver actionable data insights.