Microsoft Senior eCommerce Marketing Manager Microsoft Storefronts Team 

Taiwan, Taoyuan City 

31826765

You will play a critical role in informing our $1B+ promotional strategy and influencing external commerce partner engagement. By leveraging player data to identify what delivers the most value—and why—you will conduct deep-dive behavioral analyses that power persuasive publisher case studies. These insights will spotlight revenue-driving tactics, strengthen partner trust, and drive sustained engagement growth across our platform.

What I will do for you

• Champion your successes at every level of our leadership.
• Empower you to gain new experiences and improve upon your strengths.
• Support who you are as your authentic self.
• Make career development a consistent priority.

Required / Minimum Qualifications

• Master's Degree in Business, Marketing, Economics, Social Science, Computer Science, Information Technology, or related field AND 3+ years experience in retail, ecommerce, data science, research, marketing or business-related roles OR Bachelor's Degree in Business, Marketing, Economics, Social Science, Computer Science, Information Technology, or related field AND 4+ years experience in retail, ecommerce, data science, research, marketing or business-related roles OR 5+ years experience in retail, ecommerce, data science, research, marketing or business-related roles OR equivalent experience.
• Demonstrated ability to lead performance analysis and reporting efforts that translate complex player behavior and monetization data into actionable business insights.

Additional or Preferred Qualifications

• Master's Degree in Business, Marketing, Economics, Social Science, Computer Science, Information Technology, or related field AND 5+ years experience in retail, ecommerce, data science, research, marketing or business-related roles OR Bachelor's Degree in Business, Marketing, Economics, Social Science, Computer Science, Information Technology, or related field AND 6+ years experience in retail, ecommerce, data science, research, marketing or business-related roles OR 7+ years experience in retail, ecommerce, data science, research, marketing or business-related roles OR equivalent experience.
• 5+ years experience in go to market (GTM), marketing strategy, business planning, or similar roles.
• 5+ years experience in integrated, digital or product marketing management.
• 3+ years project/vendor management experience.
• 2+ Gaming Analytics/ player behavior
• Proven ability to translate complex data into actionable insights and business strategies
• Storytelling and presentation skills for executive audiences
• Experience influencing cross-functional stakeholders
• Demonstrated success creating clear, compelling charts and slides that turn complex data into actionable, executive-ready stories.
• Comfort navigating ambiguity and driving clarity through data
• Deep familiarity with business intelligence tools (e.g., Power BI, Excel, SQL)
• Background in the gaming industry or digital content platforms is a plus

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Microsoft will accept applications for the role until July 25 2025.

Background in the gaming industry or digital content platforms is a plus

Core Responsibilities

• Publisher Growth Case Development:

• Technical Toolset Mastery & Data Infrastructure Partnership:Demonstrate fluency in modern data analytics tools and platforms (e.g., Power BI, Excel, Python, SQL). Select and apply the right tools for the job, whether for ad hoc analysis, dashboard development, or large-scale data modeling.Work with data infrastructure teams to maintain robust and scalable data pipelines that meet business requirements.Champion best practices in data hygiene, automation, and reproducibility.

• Player Behavior & Trend Discovery: Conduct deep analyses of player actions across store portfolio segments and monetization models. Identify emerging behavioral trends that can inform store promotional tactics.

• Insight-Driven Recommendations: