採用
必須スキル
SQL
Data visualization
Analytics
Retention analytics
Churn modeling
Job Posting Title:
- Manager, Analytics
- Engagement & Retention, DTC APAC
Req ID:
10126932
Job Description:
Wherever you are in the amazing world of Disney, you are contributing to the stories of our iconic brands, recognised by audiences everywhere for entertainment, information and inspiration. Innovation, imagination and inclusion are at the core of Disney, defining the experience that we deliver as well as providing the foundation of our success. The scope of our business, combined with global growth and collaboration result in an inclusive employee experience characterised by continuous learning, development and achievement.
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, ESPN, National Geographic, and more.
We are seeking a Manager, Analytics to join our Engagement & Retention Analytics team in APAC. The primary focus of this role is to analyze user data, derive valuable insights, and collaborate with various departments to develop strategies that enhance user experiences and keep users engaged with the platform over the long term.
This role is based in Melbourne and responsible for all APAC markets.
1. Leadership, Collaboration, & Team Development
- Support cross-functional collaboration to align analytics with business goals & shape the analytics roadmap with a data-driven strategic lens
- Mentor junior analysts and foster a high-performing, learning-oriented team culture
- Identify opportunities for advanced data science models by ensuring alignment between analytics and business objectives
- This role will directly manage one direct report
2.
Engagement and Retention Analytics:
- Manage day-to-day operations of engagement & retention analytics and translate business questions into analytical projects and priorities.
- Conduct deep-dive analyses on engagement patterns and retention drivers
- Analyze customer behavior, usage patterns, and feedback to identify the underlying reasons for churn, to drive improving retention over a period of time
- Lead cross-functional initiatives to improve engagement and retention metrics
- Identify data gaps and collaborate with data engineering on solutions
- Feature launch analytics and post-launch reviews
- Proactively share insights and analysis to the stakeholders across APAC that could affect the engagement and retention of our subscribers
3.
Lifecycle Strategy & Optimization:
- Play a key role in defining analytics strategy for lifecycle marketing by establishing measurement frameworks and defining best success metrics for different initiatives
- Support campaign planning and translate business needs into testable hypotheses, Design and oversee experimentation frameworks and provide actionable insights at the end of the tests
- Review & validate key insights and build relationships with lifecycle marketing leadership
- Evaluate campaign and product performance to inform go-forward strategies
4.
Operational Excellence & Data Governance:
- Lead recurring performance reporting, ensuring clarity, consistency, and actionability
- Uphold data integrity, governance standards, and drive automation for scalable processes
Ideal experience:
- 7-10 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.
- Familiarity with lifecycle & retention analytics, including user segmentation, churn modeling, and engagement strategies, is a strong plus
- Expertise in SQL with demonstrated hands-on experience.
- Proficiency in data visualization tools (e.g., Tableau, Power BI, Looker) with a strong track record of translating data into clear, actionable insights for business stakeholders
- 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:
2025-07-23
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Hulu (Disney)について

Hulu (Disney)
AcquiredThe happiest place on earth.
1,001-5,000
従業員数
Santa Monica
本社所在地
レビュー
3.7
10件のレビュー
ワークライフバランス
2.8
報酬
3.5
企業文化
4.2
キャリア
2.9
経営陣
2.7
65%
友人に勧める
良い点
Great team culture and supportive colleagues
Flexible hours and work arrangements
Creative freedom and interesting work
改善点
Work-life balance challenges and long hours
High-pressure and stressful environment
Management issues and disorganization
給与レンジ
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Mid/L4
Mid/L4 · Network Engineer II
1件のレポート
$183,242
年収総額
基本給
$140,956
ストック
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ボーナス
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$183,242
$183,242
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/ 5
期間
21-35週間
体験
ポジティブ 0%
普通 67%
ネガティブ 33%
面接プロセス
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Online Assessment
5
Onsite/Virtual Interviews
6
Offer
よくある質問
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System Design
Behavioral/STAR
Technical Knowledge
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