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Senior CSP Business Analyst

Establishes and leverages working relationships within and across teams to ensure quality data sources, methodologies, and analytical tools and processes; driving their adoption to address business needs and deliver key insights a...

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Microsoft Redmond, WA,US, US Source published Sep 18, 2026 Verified 10 hours ago
✓ 80% verification score · Source: Microsoft Opportunities · Always confirm final requirements on the original source.
Complete source information imported The available role or programme description, requirements, benefits and source facts were imported from the public official endpoint and formatted for reading.
Senior CSP Business Analyst opportunity at Microsoft
DeadlineWed Mar 17 2:45 PM 2027
EmploymentF U L L T I M E
CountryUS

Overview

Establishes and leverages working relationships within and across teams to ensure quality data sources, methodologies, and analytical tools and processes; driving their adoption to address business needs and deliver key insights and results. Data Analysis Leads execution of analyses, resolve analytical challenges, interpret results, address business questions with actionable insights, identify tools and reports gaps and recommend improvements to Commerce Engineering and AI teams. Evaluation Determines preferred factors and/or data types/frameworks , anticipate risks, synthesize across evaluation outcomes and recommend actions to meet strategic goals. Establishes themselves as an expert in data types and sources, address gaps and quality issues with data providers, collaborate with data engineers, understands and ensures governance and security (encryption, role restrictions) of reports a

Full job description

Full Job Description

Establishes and leverages working relationships within and across teams to ensure quality data sources, methodologies, and analytical tools and processes; driving their adoption to address business needs and deliver key insights and results. Data Analysis Leads execution of analyses, resolve analytical challenges, interpret results, address business questions with actionable insights, identify tools and reports gaps and recommend improvements to Commerce Engineering and AI teams. Evaluation Determines preferred factors and/or data types/frameworks , anticipate risks, synthesize across evaluation outcomes and recommend actions to meet strategic goals. Establishes themselves as an expert in data types and sources, address gaps and quality issues with data providers, collaborate with data engineers, understands and ensures governance and security (encryption, role restrictions) of reports and insights in alignment with policies. Improvement, Efficiency, and Innovation Drives standardization, scalable insights, ensuring insights and reports are reusable, discoverable and self-serviceable. AI, Automation, and Innovation Drives the AI and automation strategy for CSP authorization analytics and reporting. Identifies, prioritizes, and implements high-value opportunities to automate manual workflows, accelerate insight generation, improve data quality, and enable proactive identification of business and program risks. Orchestration and Collaboration Builds strong cross-team relationships to promote quality data, methodologies, and analytical tools; encourages their use to meet business needs and provide insights. Shares expertise and proven resources to support analysis, reporting, and results interpretation. Presentation of Results Develops and guides others' work on presentations of analyses, including dashboards, reports, data visualizations, self-service platforms, slides, and talking points that synthesize insights into a story that influences senior stakeholders' decision making and drives business outcomes. Improve efficiency of reporting and presentations. Understanding the Business Link impact of internal/external trends on the business to proactively identify and address business concerns, translate stakeholders' needs into technical requirements to develop appropriate solutions with Commerce Engineering and AI teams. Bachelor's Degree in Business, Operations, Finance, or related field AND 6+ years experience in program management, process management, or process improvement OR equivalent experience. Degree in Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 6+ years' experience in data analysis and reporting, business intelligence, or business and financial analysis OR equivalent experience. Strong understanding of channel partner ecosystem, preferably Cloud Solutions Providers. Demonstrated experience applying AI, machine learning, advanced analytics, or intelligent automation to solve business problems and transform operational processes. Strong organizational, planning and analytical experience, ability to analyze and interpret business performance measures. Strong cross-group coordination across all levels, organizational and analytical skills, the ability to work independently and take initiative to drive projects forward, the ability to deal with ambiguity and provide structure for others. Strong problem-solving skills, attention to detail, an ability to work effectively under pressure and within short time constraints, resourcefulness and able to deal with ambiguity, prioritize while multi-tasking and maintain flexibility in the performance of the job responsibilities. Embracing change is essential. Ensures organizational readiness for business demands and meets challenging timelines in a fast-paced environment. Executive Relations: The ability to interact confidently with senior leaders in a highly-matrixed organization to present/defend/clarify concerns or issues regarding an existing project, program, or solution. This includes the ability to confidently address difficult questions, handle pushback from a high-level audience, and maintain an executive demeanour while engaging in challenging or sometimes high-pressure situations

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