Business Analytics & Intelligence Manager

Posted 3 Days Ago
Be an Early Applicant
Glendale, CA, USA
In-Office
116K-155K Annually
Senior level
Digital Media • Gaming • News + Entertainment • Sports
The Role
Lead licensing analytics for Disney Consumer Products, supporting Retail and Marketing through performance analysis, consumer insights, market trends, dashboards, and strategic recommendations. Translate business needs into data requirements, curate structured and unstructured data, build automated pipelines, develop self-service reporting, and improve data governance and architecture. Lead cross-functional analytics projects, communicate complex findings clearly, and guide technical transformation involving visualization, AI, and process automation.
Summary Generated by Built In

Job Posting Title:

Business Analytics & Intelligence Manager

Req ID:

10158481

Job Description:

Business Analytics & Intelligence Manager (Business Intelligence)

About the Role & Team

Do you love using data to answer complex questions? Then you may be interested in learning more about the Licensing Analytics team at Disney Consumer Products!

Our mission is to put our data assets to work and apply quantitative techniques to discover previously unknown insights about our licensing partners, retailers and consumers. We work directly with the major decision-makers who shape the Disney Consumer Products experience. Through our insights, we help form and improve Disney offerings.

This role sits onsite in Glendale, CA and reports to the Director, Licensing Analytics.

What You Will Do

As a leader on the Americas Licensing Analytics team, you will support the Retail & Marketing teams, serving as the primary analytics lead for developing and facilitating analysis linked to owned retail and licensee data enhanced through industry & macro insights. You will also facilitate analyses and projects across cross-functional teams with direct and indirect leadership of analytics and data partners. This includes support for evaluation of product performance, consumer & macro-economic trends, and industry shifts to inform strategic insights.

While every single day will be different, with rotating priorities, the main themes for this role include supporting a team of:

  • Analytics Transformation Enablers: Help drive the technical transformation of our team by executing against and evolving a technology roadmap (focused on automating & structuring data loads and mapping), deploying self-service reports, defining a data architecture & governance strategy, and optimizing processes against business needs.

  • Creative Problem Solvers: Our team navigates limited data availability and inconsistency. A key part of this role will involve identifying appropriate external data sources, reconciling data sets, identifying proxies, and clearly communicating the assumptions behind the analysis.

  • Data Coders, Visualizers & Storytellers: Our team uses knowledge of visualization techniques to create compelling dashboards and intelligence tools to enable ease of interpretation of commercial performance metrics. This involves having the team code the backend processes to quickly access needed data and develop decks that synthesizes complex data into a compelling story.

You will also:

  • Translate the business and analytical needs into data requirements to support timely data delivery, routine reporting, and in-depth analysis

  • Work in large and complex data environments to compile and curate data from a variety of domains and sources to build a foundation for DCP Licensing Analytics

  • Develop fully automated data pipelines and analytical tools to minimize time spent on data gathering and preparation

  • Collaborate closely with Technology partners to enhance data quality and governance

  • Leverage data analytics and visualization skills to conduct in-depth analysis with enhanced data streams and quality

  • Build & maintain the data foundation that enables self-service analytics, AI-driven insights, and scalable reporting

  • Stay up to date with industry trend on robotic automation & AI / ML to identify areas for process improvements

  • Develop easy-to-use tools and share best practices with peers to solve problem efficiently and effectively

  • Excellent in communication to translate technical terms into easy-to-understand outputs

  • Partner with IT to systemize planning process leveraging data from disparate sources

  • Be willing to be flexible with changing business needs and adaptable with work requests.

Required Qualifications & Skills

  • 5+ years of experience in analytical roles

  • Experience leading the lifecycle of analytic products; from requirements gathering to data acquisition to presentation of results, and automation (where applicable)

  • Proficient project management skills; ability to organize and manage projects of varying complexity and length

  • Takes initiative and is a self-starter, with the ability to lead projects from inception to completion

  • Advanced user of Tableau, Power BI, and/or other data visualization software

  • Time-management skills, with ability to prioritize multiple requests and communicate status to partners

  • Strong written and verbal communication skills, with the ability to communicate complex ideas and develop concise recommendations

  • Comfort in working in ambiguity to determine the questions that should be answered and the approach and partners needed to get there

  • Experience with working and curating structured and unstructured data

  • Technical proficiency in these data technology subject areas:

    • Data pipeline technologies and ETL tools and languages such as SQL, SSIS, Knime, Alteryx, Tableau Prep

    • Database technologies such as Snowflake, SQL Server

    • External syndicated data platforms such as Circana, Euromonitor, and Statista — ability to extract, interpret, and activate third-party market and category data is strongly preferred

    • Data Visualization and Consumption Tools — primary proficiency in Tableau required; familiarity with Microstrategy, Power BI, or Business Objects a plus

    • Data warehouse and data lake architecture

    • Scripting languages such as Snowscript, Javascript, VBA, Python - Preferred

Preferred Qualifications

  • Experience working with large scale retail systems data

  • Experience working with cloud platforms/technologies

  • Experience with machine learning

Preferred Education

  • Bachelor of Science in Data Science, Statistics, Software Engineering, Computer Engineering, Computer Science, or equivalent technical background

Our Benefits: Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities and special extras that only Disney can provide. Learn more about our benefits and perks at https://jobs.disneycareers.com/benefits

The hiring range for this position based in Glendale, CA is $115,500.00-$154,800.00. The base pay actually offered will take into account internal equity and may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, depending on the level and position offered.

Job Posting Segment:

NA - Brand Commercialization

Job Posting Primary Business:

Regional (NA - Brand Commercialization)

Primary Job Posting Category:

Business Analytics

Employment Type:

Full time

Primary City, State, Region, Postal Code:

Glendale, CA, USA

Alternate City, State, Region, Postal Code:

Date Posted:

2026-08-25

Skills Required

  • 5+ years of experience in analytical roles
  • Experience leading the lifecycle of analytic products from requirements gathering through data acquisition, results presentation, and automation
  • Proficient project management skills and ability to manage projects of varying complexity and length
  • Initiative, self-starter mindset, and ability to lead projects from inception to completion
  • Advanced proficiency with Tableau, Power BI, or other data visualization software; Tableau proficiency is required
  • Time-management skills and ability to prioritize multiple requests and communicate status
  • Strong written and verbal communication skills
  • Ability to communicate complex ideas and develop concise recommendations
  • Comfort working in ambiguity to determine questions, approaches, and required partners
  • Experience working with and curating structured and unstructured data
  • Proficiency with data pipeline technologies and ETL tools or languages such as SQL, SSIS, KNIME, Alteryx, or Tableau Prep
  • Knowledge of database technologies such as Snowflake and SQL Server
  • Knowledge of data warehouse and data lake architecture
  • Ability to extract, interpret, and activate third-party market and category data from platforms such as Circana, Euromonitor, and Statista
  • Familiarity with MicroStrategy, Power BI, or BusinessObjects
  • Scripting experience with Snowscript, JavaScript, VBA, or Python
  • Experience working with large-scale retail systems data
  • Experience working with cloud platforms or technologies
  • Experience with machine learning
  • Bachelor of Science in Data Science, Statistics, Software Engineering, Computer Engineering, Computer Science, or equivalent technical background

The Walt Disney Company Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about The Walt Disney Company and has not been reviewed or approved by The Walt Disney Company.

  • Pay Growth & Progression Recent union agreements raised wage floors for large groups of park cast members—e.g., Disneyland’s $24/hour minimum rising to $26 over the contract and Walt Disney World’s path from $18 toward about $20–$20.50 by 2026—signaling upward movement in hourly pay. These steps are described as meaningful improvements for many frontline roles.
  • Healthcare Strength Company materials outline medical, dental, and vision coverage for many full‑time roles, wellness resources, and (in Central Florida) access to Centers for Living Well clinics and pharmacy. References to mental‑health support and paid time off reinforce a strong core health offering.
  • Wellbeing & Lifestyle Benefits Complimentary theme‑park admission and discounts on hotels, dining, merchandise, and recreation are positioned as signature perks. Education support through Disney Aspire adds notable lifestyle value for eligible hourly employees.

The Walt Disney Company Insights

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The Company
HQ: Burbank, CA
219,548 Employees
Year Founded: 1923

What We Do

The Walt Disney Company is a leading diversified international family entertainment and media enterprise that operates through segments including entertainment, sports, and experiences.

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