This role is located either in one or all hub locations - Atlanta, GA, Redmond, WA, San Antonio, TX, Washington DC, or Phoenix, AZ. Relocation support will be provided, and successful candidates must relocate or reside within 50 miles of the hub office location.
Responsibilities
People Management
Managers deliver success through empowerment and accountability by modeling, coaching, and caring.
Model: Live our culture. Embody our values. Practice our leadership principles.
Coach: Define team objectives and outcomes. Enable success across boundaries. Help the team adapt and learn.
Care: Attract and retain great people. Know each individual’s capabilities and aspirations. Invest in the growth of others.
Leads and coaches teams to apply in-depth knowledge of the business to proactively identify and address business concerns.
Data Analysis and Reporting
Leads team in proactively exploring business needs with internal and/or external stakeholders, and in performing complex analyses to address relevant business questions.
Drives accountability and influences others to critically evaluate assumptions, tools, and/or techniques, and guides teams to identify potential gaps.
Influences partner teams to develop, adopt, and/or improve upon recommended tools and techniques used to conduct analyses and leverage actionable insights.
Data Strategy and Governance
Serves as a trusted expert in data, directing teams to identify optimally relevant data types, and to address gaps with data providers.
Manages and influences cross-functional partnerships, leverages relevant work done in other teams, drives action to source additional data, and provides a business case for Engineering and/or Data Science teams to create or modify data pipelines, integrations, and/or models to drive insights identification.
Supports team members to understand and apply data governance standards to their or their team's work to ensure solutions they produce are aligned with company policy.
Data Storytelling and Executive Engagement
Develops and coaches team on best practices for presenting analytic results through various means to influence decision making and drive business outcomes, including dashboards, reports, data visualizations, self-service platforms, slides, and talking points that synthesize insights into a cohesive story.
Directs efforts to improve the efficiency of reporting and presentations, and leads team to ensure presented results are accessible, accurate, clear, concise, easily understood, and sufficiently relevant to influence decision making for intended audience(s).
Presents results clearly and concisely to senior- and executive-level stakeholders.
Innovation and Transformation
Drives innovative methods that create efficiency in core work and enable reporting and analytics to be reusable, self-service, directed to meaningful interpretation of data, and capable of driving business decisions and impact across teams.
Leads teams to determine optimal methods for standardizing, sharing, and scaling insights including efficiency gains that leverage AI, and implementing automation for patterns of ad hoc analyses and reporting into standard practices.
Partners with Engineering and/or Data Science and Digitization teams and shares thought leadership to develop and implement automation of core work tasks that are most relevant to addressing business needs.
Orchestration and Collaboration
Establishes and leverages working relationships across teams to ensure quality data sources, clear understanding of business needs, and to optimally leverage analytical tools, processes, and insights, and drive their adoption across teams to deliver results.
Identifies and engages relevant stakeholders from across the organization to address short- and long-term business needs, and drives engagements across teams to integrate tools, insights, and/or solutions to address business needs, and assists others in connecting across teams.
Evaluation
Directs teams to determine factors and data types/frameworks used to evaluate the impact of business, product, and/or operational decisions.
Holds teams accountable for evaluating risks and limitations, synthesizing and applying learnings from previous evaluation instances, ensuring recommendations are actionable, and clearly articulating connections between evaluation results, recommendations, and relevant strategic business needs.
Embody our Culture and Values
Qualifications
Required Qualifications
Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 4+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
OR Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 6+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
OR equivalent experience.
Preferred Qualifications
Bachelor's Degree in Statistics, Finance, Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 12+ years experience in data analysis and reporting, business intelligence, or business and financial analysis
OR Master's Degree in Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 8+ years experience in data analysis and reporting, business intelligence, or business and financial analysis
OR equivalent experience.
Other Requirements
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
#COICareers #EPCCareers
Data Analytics M5 - The typical base pay range for this role across the U.S. is USD $130,900 - $251,900 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 $165,600 - $272,300 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
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
