Senior Data Analyst
Technology, Data & Digital · Data, AI & Analytics · Data Analysis · Business Intelligence · Technical Support
In short
As a Senior Data Analyst at Microsoft, you will design, develop, and optimize enterprise-scale Power BI reporting solutions. You will use advanced analytics, data modeling, and visualization skills to provide actionable insights and drive data-driven decision-making across the organization, contributing to customer success and AI transformation.
Responsibilities
- Architect, build, and maintain Power BI dashboards, reports, and semantic data models.
- Develop advanced DAX measures, Power Query transformations, and optimized data models.
- Establish reporting, visualization, and data governance standards.
- Translate complex business requirements into scalable reporting solutions.
- Partner with stakeholders to define metrics, KPIs, and reporting requirements.
- Optimize report performance, refresh strategies, and data reliability.
- Influence reporting strategy and establish best practices for dashboard development.
- Drive continuous improvement through analytics, automation, and operational excellence.
Requirements
- Bachelor's Degree in Computer Science, Information Technology (IT), or related field AND 5+ years of technical support, technical consulting, analytics, reporting, or information technology experience, OR 7+ years of technical support, technical consulting experience, or information technology experience, OR equivalent experience.
- Advanced data analytics skills including exploratory data analysis, metric and KPI definition, segmentation, cohort and trend analysis.
- Advanced dashboard-building and visualization skills with advanced interactivity, UX, and visualization design.
- Data storytelling skills – translating complex analyses into compelling data stories using Power BI, Python, or other tools.
- Deep experience with Power BI Service, deployment pipelines, and row-level security.
- Experience with large-scale data warehouses and star-schema design.
- Track record of building widely adopted, high-performance reporting solutions.
- Advanced data modeling skills including complex DAX, Power Query (M), and dimensional/star-schema modeling.
- Advanced proficiency in SQL.
- Ability to meet Microsoft, customer and/or government security screening requirements, including Microsoft Cloud Background Check.
Desired Qualifications
- Experience with Python libraries like matplotlib, seaborn, and plotly.
- Deep understanding of business intelligence principles and practices.
Benefits
- Potential for benefits and other compensation.
- Opportunity to accelerate AI transformation for customers.
- Access to Microsoft's extensive resources and technologies.
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