Senior Manager, Data Analytics, DTC Anz

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

Jobcode: Reference SBJ-5b778e-18-188-66-142-42 in your application.