Microsoft Internship Opportunities Financial Analyst 

Ireland, Dublin 

119464923

Those hired into this role are invited to participate in

Required/Minimum Qualifications

• Currently pursuing or have completed a Bachelor's Degree in Business Administration, Accounting, Finance, Economics, Data Science, or related field.

Preferred Qualifications

• At least one year of classroom and/or finance internship work experience in financial risk analysis with demonstrated analytical and problem-solving skills
• Competency in MS Office, especially in Excel including pivot tables; certifications or relevant coursework preferred.
• Power BI /Tableau or other data visualization experience preferred.
• SQL/R/Python or other programming/data science experience preferred.
• Proven ability, experience, and overall understanding of fundamental finance and accounting acumen including data modeling, data analytics, FP&A, forecasting, interpreting financial statements, and reporting.
• Capable of working with high degree of ambiguity in a fast-paced environment .
• Demonstrated ability to work both independently and collaboratively with multiple business partners and teams.

• Learn about the various financial cycles as well as the precision and application of Profit & Loss to Microsoft decisions and analysis.
• Develop data modeling skills by managing and manipulating complex data.
• Gain an understanding around the focus and strategies of finance leaders, comprehend methods and practices in making executive decisions and further build on advanced modeling skills.
• Identify the level of risk to both segments of the company and Microsoft as a corporation.  Responsibilities include identifying root causes of risks and analyzing business processes and execution plans to provide a framework for improvement.  You will also learn relationships and responsibilities of Microsoft’s worldwide subsidiaries, operating centers, and/or corporate entities through on-site engagements, while understanding how to effectively gather information and communicate complex findings.