Business Analytics at Microsoft

Bucharest, , Romania -

Full Time

Start Date

Immediate

Expiry Date

23 Feb, 26

Salary

0.0

Posted On

25 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Statistical Methods, Data Visualization, Power BI, SQL, Python, R, Analytical Skills, Problem-Solving, Customer Experience, Business Intelligence, Reporting, Documentation, Collaboration, Continuous Improvement, AI-driven Insights

Industry

Software Development

Description

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. Master'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. 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. 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. 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. Background in consulting, product strategy, or innovation roles.

Responsibilities

Analyze large datasets to identify trends and insights that drive business decisions. Create high-quality data visualizations and reports to communicate findings effectively to stakeholders.