Senior CSP Business Analyst

** Overview*
* With a vision to "Build and sell intelligent cloud and intelligent edge solutions with partners, empowering people and organizations to achieve more," Global Channel Partner Sales (GCPS) is responsible for driving revenue outcomes with partners through innovative solutions-at scale! The Global Partner GTM, Programs, & Operations (GPO) organization within GCPS brings together the go-to-market strategy, programs, and platforms to accelerate growth and improve partner experience across all partner segments.

The Channel Commerce Strategy & Enablement team is looking for a highly motivated individual to lead and enable the required reporting and analytics of the Cloud Solutions Provider (CSP) authorization ecosystem. This role is critical to ensure we have accurate and timely insights to evolve and transform the impact of this channel. This role works in partnership with Commercial Engineering and AI teams, operations and program compliance teams to determine preferred factors and/or data types/frameworks to include in the evaluation of business, and/or operational decisions that will provide the most relevant assessment of impact.

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. Drives the implementation of methods that create efficiency in core work related to analytics and reporting that are reusable, readily discoverable, self-service, and directed to meaningful interpretation of data that drive business decisions and impact across teams in support of the CSP authorization evolution strategy and execution, including recommending program improvements to achieve strong partner satisfaction and growth of the CSP channel contribution.

As this role will work alongside many stakeholders, it will require a balance of leadership and influence skills to support the broader strategic and insights needs of the team.

** Responsibilities*
* 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.

Expertise in Data

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.

** Qualifications*
* Required Qualifications

+ 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.

Preferred Qualifications

+ Degree in Mathematics, Analytics, Engineering, Computer…