Senior Director Analytics & Data Storytelling
@ Microsoft

Redmond, WA
$296,400
On Site
Full Time
Posted 22 days ago

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Job Details

Overview

If you have an interest in data and are committed to developing systems that enhance informed decision-making at Microsoft, the Insights, Data Engineering & Analytics team offers a platform for professional growth. This role supports Microsoft 365 and the Experiences + Devices group, aiming to foster a data-informed culture with actionable insights.

Role Responsibilities

  • Create impactful data narratives and storytelling across various mediums.
  • Oversee progress on research projects with clear, actionable communication.
  • Coach team members on data storytelling fundamentals.
  • Develop comprehensive cross-team research and data science strategies.
  • Act as a liaison between research teams and key stakeholders.

Qualifications

The ideal candidate will have an advanced degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science or a related field, with extensive experience in data science and data storytelling. Candidates should also have hands-on research experience and a proven track record in managing complex projects, along with demonstrated skills in coaching and project management.

Security and Compliance

Candidates must be able to meet Microsoft security screening requirements including the Microsoft Cloud Background Check.

Compensation

The base pay range for this role in the U.S. is typically USD 163,000 - 296,400 per year, with variations in certain regions.

Key Skills/Competency

  • data storytelling
  • analytics
  • data science
  • research
  • project management
  • coaching
  • strategic planning
  • stakeholder engagement
  • Microsoft 365
  • AI
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How to Get Hired at Microsoft

🎯 Tips for Getting Hired

  • Customize your resume: Tailor experience to data analytics and storytelling.
  • Research Microsoft: Understand Microsoft 365 and E+D culture.
  • Highlight leadership: Emphasize coaching and research management skills.
  • Prepare for interviews: Practice scenarios on data strategy and storytelling.

📝 Interview Preparation Advice

Technical Preparation

Review advanced data science techniques.
Hands-on practice with statistical tools.
Study data visualization best practices.
Familiarize with Microsoft AI integrations.

Behavioral Questions

Describe a time you led data projects.
Explain how you coach team members effectively.
Share an example of strategic decision making.
Discuss handling multiple stakeholder feedback.

Frequently Asked Questions