Senior Manager, Data Analytics, DTC ANZ

Job Posting Title:

Senior Manager, Data Analytics, DTC ANZ

Req ID:

10113697

Job Description:

The Walt Disney Company’s Direct-To-Consumer is a global business segment with the mission of providing consumers around the world access to the content they want most, on the latest platforms, at a time of rapidly evolving consumer habits.

Disney+ is the dedicated streaming home for movies and shows from Disney, Pixar, Marvel, Star Wars, National Geographic, Star, ESPN, and more.

We are looking for a Senior Manager, Analytics to join our Direct-to-Consumer (DTC) team in Australia & New Zealand (ANZ).

This senior role is dedicated to supporting business stakeholders with descriptive, diagnostic and predictive data analytics, and insights that drive growth and innovation.

Key Responsibilities:

Team Leadership & Management

• Strive to embody Disney’s Values of integrity, creativity, collaboration, community and inclusion, which serve as a foundation as Disney strives be the world’s leading producer of entertainment and information.
• Lead, mentor and motivate a small team of analysts focused on providing descriptive, diagnostic and predictive data analytics and insights within a direct-to-consumer streaming business context.
• Set goals, expectations, and clear spheres of responsibility for the team and direct reports, and track and manage outcomes with a focus on continuous improvement.
• Identify learning and development opportunities for the team and direct reports, identifying skills gaps and appropriate training.
• Ensure the team and direct reports have the tools and resources to perform the work effectively.
• Manage the flow of work within the team, ensuring coverage, continuity, and velocity, escalating risks and blockages to leaders, and anticipating future resource needs in collaboration with HR business partners.
• Represent the ANZ business within a regional data analytics team, build effective regional/global relationships, support regional/global goals and initiatives, proactively share knowledge, best practises and insights.

Project Planning

• Proactively work with local and regional leaders to anticipate, plan for, launch and improve initiatives aligned to the strategic objectives of the direct-to-consumer streaming business.
• Collaborate with project owners, programme managers and other internal partners to identify project objectives, scope, timelines, and deliverables.
• Within the context of data analytics, proactively gather information and produce high-quality project materials in a timely way, including requirements documentation, workback plans, reporting plans, executive reports, analyses and deep-dives.
• Participate in direct-to-consumer team off-sites and planning days, contribute to a local market Roadmap, collaborate with stakeholders on data analytics requests/project intake, and maintain a fortnightly cadence of sprint planning in close collaboration with stakeholders.

Data Strategy & BI

• Ensure the data analytics team continues to work in alignment with Disney policies governing the collection, processing, sharing and use of direct-to-consumer data, escalating where further guidance is required, and taking proactive actions to stay abreast of policy changes.
• Work directly with internal partners across Disney lines of business to facilitate the availability of direct-to-consumer data and insights in accordance with Disney policies, to drive synergies and broader business outcomes.    
• Support internal partners with accessing a knowledge base related to the current and future use of product, content and audience measurement tools, use cases, and data collection and processing practises.
• Collaborate with internal and external partners to develop, implement and optimise business intelligence such as customer segmentation models, choice models, and content valuation models.

Business Optimisation

• Prioritise in-depth analysis of features driving deeper subscriber engagement and value, and platform monetization, and identify opportunities to optimise.
• Conduct in-depth analysis of live event and sports content, assessing trends, impact on subscriber viewership, and opportunities to optimise reach and engagement.
• Streamline processes by automating workflows, reducing inefficiencies, refining key metrics.
• Enhance platform capabilities in data modeling, testing, visualization, and architecture.

Ideal experience:

• 2+ years people management experience in a data analytics or related environment. 
• 10+ years relevant experience in an analytical role within a digital business, ideally media related.
• Bachelor’s degree in a quantitative field such as Marketing, Economics, Business, Mathematics, Statistics, Data Science, Engineering, Physics, Chemistry, or Social Science; a graduate degree is preferred.
• Expertise in SQL with demonstrated hands-on experience.
• Strong knowledge of subscription services and the competitive landscape.
• Deep understanding of the media and content industry, including trends and audience behaviors, is preferred.

Additional Information:

This is unique opportunity to join the talented team that develops and delivers unparalleled entertainment across Australia and New Zealand so if this role captures your imagination then apply now!

The Walt Disney Company is an Equal Opportunity Employer. We strive to be a diverse and inclusive workforce that is representative of our audiences, and where all can thrive and belong. We are committed to building a team that includes and respects a variety of voices, identities, backgrounds, experiences and perspectives.

The Walt Disney Company can provide individual accessibility support that may be needed during your interview process. Please let us know of accommodations that may assist in helping you feel welcome by emailing wdi.careers.au@disney.com.

Job Posting Segment:

APAC DTC

Job Posting Primary Business:

APAC DTC Data Analytics

Primary Job Posting Category:

Business Intelligence Analytics

Employment Type:

Full time

Primary City, State, Region, Postal Code:

Richmond, Australia

Alternate City, State, Region, Postal Code:

Date Posted:

2025-03-20