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Data Analyst: University Students and Recent Graduates

Microsoft

Redmond, WA, USA

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4 w

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Full time

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Other

Minimum

$64800 Per Year

Maximum

$142700 Per Year

Overview
Come build community, explore your passions and do your best work at Microsoft with thousands of University graduates from every corner of the world. This opportunity will allow you to bring your aspirations, talent, potential—and excitement for the journey ahead.

A Data Analyst determines the technique needed and develops analytic models to understand complex business issues and provide data-driven insights by integrating statistical inference, Machine Learning modeling, and/or other advanced analytical methods to manage, classify and analyze complex data from a variety of sources. A Data Analyst  understands and anticipates both business and data requirements, identifies how to optimally integrate data, evaluates analytic techniques and assumptions, and determines follow-up actions to share insights that drive decision-making to address specific business needs.

Those hired into this role are invited to participate in Microsoft Aspire Experience, a two-year learning and development experience where you'll build your network, cultivate intentional capabilities and gain perspective into the career opportunities across Microsoft’s many exciting businesses.

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. Learn more about our cultural attributes 

Embody our Culture and Values

Qualifications
Required/Minimum Qualifications
• Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field

Business Analytics IC2 - The typical base pay range for this role across the U.S. is USD $64,800 - $130,100 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $86,400 - $142,700 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft accepts applications and processes offers for these roles on an ongoing basis throughout the academic calendar (September – April).

Responsibilities
• As you begin to learn the business you will support the development of data infrastructure and analytical frameworks. You’ll leverage your understanding of the business to examine projects through a customer and/or stakeholder-oriented focus.
• You will use appropriate sources of data to address specific business needs and escalate complex issues. You’ll conduct analyses to respond to business questions and evaluate with guidance from others.
• You will share and simplify relevant findings, with guidance, and ensure presented results provide information accurately. You’ll build and/or conduct formal experiments and report results under direction.
• You will implement methods for making reporting and analytics self-service and efficient. You will understand linkages between analytical models and contribute to the summary of the review process—and, if the model is deemed deficient—seek to determine why.
• You will build working relationships within and across teams to ensure alignment to deliver key insights and results. You’ll adhere to data privacy rules and ensure data have undergone appropriate review.
• Conducts analyses to respond to business questions, interprets analytical outputs, provides responses in an appropriate format, and partners to build on others' analyses and frameworks.
• Critically evaluates the choice of tools, techniques, and assumptions to ensure they are appropriate within context and provides feedback on features and functions of analytical tools and/or models with guidance from others