Business Analytics
1 week ago
Overview
With more than 45,000 employees and partners worldwide, the Customer Experience and Success (CE&S) organization is on a mission to empower customers to accelerate business value through differentiated customer experiences that leverage Microsoft's products and services, ignited by our people and culture. We drive cross-company alignment and execution, ensuring that we consistently exceed customers' expectations in every interaction, whether in-product, digital, or human-centered. CE&S is responsible for all up services across the company, including consulting, customer success, and support across Microsoft's portfolio of solutions and products. Join CE&S and help us accelerate AI transformation for our customers and the world. The Global Customer Success (GCS) organization, an organization within CE&S, is leading the effort to enable customer success on the Microsoft Cloud by harnessing leading, AI-powered capabilities and human expertise to deliver innovation solutions that accelerate business value, drive operational excellence and nurture long term loyalty. The Business/Data Analyst is a strategic enabler of insight and impact within the Customer Value Practice—translating complex data into clear, actionable intelligence that drives transformation across programs and practices. This role blends analytical rigor with compelling storytelling to inform executive decisions and elevate operational excellence. The Business/Data Analyst contributes to AI-powered transformation through data-driven insights, interactive dashboards, and performance measurement frameworks. While not solely focused on AI, the role actively identifies opportunities to amplify value through intelligent analytics. This includes:
• Designing executive-ready dashboards that track KPIs and program health.
• Crafting compelling data narratives that influence strategic direction.
• Embedding analytics into transformation programs to ensure measurable outcomes.
• Partnering across verticals and horizontals to ensure data quality, consistency, and relevance. This role is flexible in that you can work up to 50% from home. Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Responsibilities
- Data Analysis & Insights: Analyze large datasets to identify trends, patterns, and insights that can drive business decisions. Use statistical methods and data analysis tools to extract meaningful information.
- Storytelling with Data: Translate complex analytics into clear, engaging narratives for technical and non-technical audiences. Develop presentations and reports that tell a clear and engaging story.
- Visualization & Dashboards: Create high-quality data visualizations, including charts, graphs, and dashboards, to represent data insights visually. Use tools such as Power BI, or similar, to develop interactive and dynamic visualizations and to monitor KPIs and program health.
• Collaboration: Work closely with data stewards and cross-functional teams to ensure data accuracy and relevance.
• Reporting and Documentation: Develop and maintain comprehensive documentation of data analysis processes, methodologies, and findings. Create and deliver regular reports to stakeholders.
• Continuous Improvement: Stay current on best practices in analytics, visualization, and AI-driven insights.
- Compliance: Ensure all reporting aligns with Microsoft security and privacy standards.
- Security: Ensure our data access & availability through dashboards, scorecards, and other reporting sources is compliant with Microsoft security & privacy standards
Qualifications
Required / Minimum QualificationsMaster's Degree in Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics, or related field and extensive 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 substantial experience in data analysis and reporting, business intelligence, or business and financial analysis.
OR equivalent experience.
Experience:
Extensive background in data analysis, data visualization, or a related field, including experience working with large datasets and complex data environments. Experience in Customer Experience & Support and/or BPO environments is a plus.
Technical Skills:
Proficiency in data analysis tools and programming languages such as SQL, Python, or R. Strong experience with data visualization tools like Power BI, Tableau, or similar platforms.
Analytical Skills:
Exceptional analytical and problem-solving skills, with the ability to interpret complex data and translate insights into actionable business recommendations.
- Experience in enterprise-scale AI adoption.
- Familiarity with Microsoft's AI ecosystem and Copilot architecture.
- Background in consulting, product strategy, or innovation roles.
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process.
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