Microsoft Customer Experience Analytics Specialist 

Taiwan, Taoyuan City 

335356259

Required Qualifications:

• Master's Degree in Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 3+ years experience in data analysis and reporting, business intelligence, or business and financial analysis
  • OR Bachelor's Degree in Statistics, Finance, Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 4+ years experience in data analysis and reporting, business intelligence, or business and financial analysis
  • OR equivalent experience.
• Experience with data analysis and statistical analysis tools such as SQL, PowerBI, SPSS, SAS, Stata, Python, SPSS or similar.
• Experience with diverse research methodologies and proficient at analyzing complex data sets to extract actionable insights that drive informed decision-making.
• Experiencein creating clear and compelling data visualizations.

Preferred Qualifications:

• Master's Degree in Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 6+ years experience in data analysis and reporting, business intelligence, or business and financial analysis
  • OR Bachelor's Degree in Statistics, Finance, Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 8+ years experience in data analysis and reporting, business intelligence, or business and financial analysis
  • OR equivalent experience.
• Experience with data exploration using Kusto, SQL, Python, R, C#, or similar language would be beneficial
• Experience working with customer experience feedback data in a B2B context
• Experience working as a manager of vendor analytics resources
• Project Management: Ability to manage multiple research projects simultaneously.
• Communication Skills: Excellent written and verbal communication skills to present findings effectively.
• Attention to Detail: High level of accuracy and attention to detail in data analysis and reporting.
• Accountability: Able to work independently and proactively and a focus on completing work on time and to expected standards
• Problem-Solving: Strong problem-solving skills to address research challenges.
• Collaboration: Experience working collaboratively with cross-functional teams.
• Continuous Learning: Commitment to staying updated with the latest research trends and best practices

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 21, 2025.

• Research Instrument Optimization: Work closely with research instrument owners to ensure that data collection instruments are designed to capture relevant data in an optimal format for the purpose of conducting relevant analysis.
• Alignment with Business Needs: Partner with insights teams to ensure that data analysis aligns with the needs of the business and the market in which Microsoft operates.
• Best Practices and Tools: Stay up to date with the latest best practices in analytical techniques and tools to provide the best possible research with the greatest efficiency.
• Excellent Communication: Strong written and verbal communication skills across different levels of the organization.
• Innovative Mindset: Focus on leveraging the latest technologies and methodologies for the analysis, manipulation and visualisation of data.
• Commitment to Quality: Experience in establishing and maintaining quality analytical methodologies.

• Networking: Ability to develop and maintain ties with internal and external networks of peers.

• Other:dy our