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.
In the Customer Service & Support (CSS) team, we are looking for a Seniot Data Anlayst with a passion for transforming data into actionable insights. In this role, you will design, develop, and optimize enterprise-scale Power BI reporting solutions that enable data-driven decision-making across the organization. You will serve as a technical liazion for analytics, reporting, and visualization, partnering with stakeholders to deliver trusted, high-quality dashboards and self-service analytics capabilities. This opportunity will allow you to deepen your expertise in Power BI, data modeling, advanced analytics, and business intelligence while contributing to Microsoft's customer success mission.
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
Architect, build, and maintain sophisticated Power BI dashboards, reports, and semantic data models.
Develop advanced DAX measures, Power Query transformations, and optimized data models to support reporting and analytics needs.
Establish reporting, visualization, and data governance standards to improve consistency and data quality.
Translate complex business requirements into intuitive and scalable reporting solutions.
Partner with stakeholders to define metrics, KPIs, and reporting requirements that drive business outcomes.
Optimize report performance, refresh strategies, and data reliability across enterprise environments.
Influence reporting strategy and establish bestpractices for dashboard development, performance optimization, and data visualization.
Drive continuous improvement through analytics, automation, and operational excellence initiatives.