Microsoft Scaled Solutions Insights Data Analyst 

India, Karnataka, Bengaluru 

575912393

The Scaled Solutions and InsightsData AnalystOperations Service Center stakeholders with a range of data productsand technical solutions to help them gatherdeeper insights and intelligence tocore priorities and strategic planning.

Data Analystwho is willing to work in a dynamic environment. You will need to be adept at managing business change, evolving requirements, adjustments in a strategic direction, and emerging technologies. You will need to be agile and flexible, yet proficient and disciplined. This is an amazing opportunity to be at the center of building a showcase worthy data capability, the successful candidates should have proven experience inworking with ambiguity,program management,

Required/Minimum Qualifications

• Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 4+years experiencein data analysis and reporting, data science, business intelligence, or business and financial analysis

• Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 2+years experiencein data analysis and reporting, data science, business intelligence, or business and financial analysis

• OR equivalent experience.

or Preferred Qualifications

• Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 6+years experiencein data analysis and reporting, data science, business intelligence, or business and financial analysis

• Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 4+years experiencein data analysis and reporting, data science, business intelligence, or business and financial analysis

• OR equivalent experience.

• in Data:Identifiesand leverages data across sources, ensuring data quality and integration.

• Data Analysis: Evaluates anddetermines

• Reporting and Sharing Results

• Experimentation and Innovation: Supports and consults on experiments to evaluate new features or processes and makes data-driven recommendations.

• Improvement and Efficiency: Promotes methods that create efficiency in analytics and reporting, ensuring data is readily discoverable and interpretable.

• Model Evaluation: Links analytical models to businessobjectivesand ensures alignment with stakeholder definitions and standards.

• :Maintainsexpertisein data privacy requirements and enforces standards related to bias, privacy, and ethics.

• : Embodies company culture and values