Senior Business Analytics Specialist - SMB Azure

• Directs teams to proactively evaluate business needs in partnership with internal and external stakeholders, and to perform analyses focused on addressing relevant business questions
• Fosters a climate where assumptions, tools, and/or techniques are consistently and critically evaluated, and directs teams to identify and address gaps
• Fosters collaboration across cross-functional teams to adopt and improve upon recommended methods and tools used to conduct analyses and leverage actionable insights
• Directs the design and execution of evaluations of the impact of business, product, and/or operational decisions by teams in their organization
• Holds teams accountable for synthesizing results across relevant evaluation instances, assessing risks and limitations, applying previous learnings and trends, and ensuring recommendations to the business are both actionable and clearly linked to both evaluation results and strategic business needs
• Shares thought leadership and makes recommendations that lead to improvements in future evaluation efforts across their organization
• Serves as a trusted expert in data, mentoring others and directing teams to evaluate sufficiency of data for drawing insights related to current and future business needs across their organization, and directing teams to proactively identify data needs and surface expected quality issues with data providers
• Manages and influences cross-functional partnerships across Microsoft's business areas to advise Engineering or Data Science teams on the development of data pipelines, integrations, or models to optimally drive insights identification
• Drives efforts across their organization to introduce innovative methods that create efficiency in core work, enable meaningful interpretation of data, and are capable of driving business decisions and impact across organizations
• Leads teams to determine optimal and innovative methods for standardizing, sharing, and scaling insights, and facilitates the implementation of business-relevant automation for patterns of ad hoc analyses or reporting into standard practices
• Partners with Engineering and Data Science teams or organizations to develop and implement automation of core work tasks across related business units, and may showcase the features and benefits of innovative tools and/or methods to external customers and industry
• Serves as role model for establishing and leveraging strategic working relationships within and across teams to ensure quality data sources, clear understanding of business needs, and optimal use of analytical tools, processes, and insights, and dives their adoption to deliver results
• Engages internal and external stakeholders to define and update expectations for leveraging contributions across the organization with a focus on addressing strategic business needs
• Proactively shares and reinforces best practices, and connects key stakeholders across teams and/or organizations
• Coaches teams on, and sets standards for presenting analytic results through various means that are rooted in best practices, including dashboards, reports, data visualizations, self-service platforms, slides, and talking points that enable others to make decisions confidently, influence leadership decision making, and drive business outcomes
• Directs others to consider the needs of key stakeholder audiences and fosters improvements in the efficiency of reporting and presentation
• Holds teams accountable for ensuring presented results are accessible and sufficiently relevant to influence decision making for intended audience(s)
• Drives strategic direction of teams and mentors others to broaden knowledge of the business to leverage and integrate specific business expertise, relevant external trends, and connections between their business and other areas of Microsoft's business to anticipate and address business questions
• Builds and leverages connections across areas of Microsoft's business and the business in industry to influence decision making that yields positive impact.

Master's Degree in Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 3+ years 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 4+ years experience in data analysis and reporting, business intelligence, or business and financial analysis OR equivalent experience.