The Operational Excellence role will support the Sales Operations, Planning and Enablement functions within BSO, strengthening how we use data, technology and AI to drive better business decisions and execution.The role will bring together business analytics, data visualisation, scenario modelling and tooling to turn complex business information into clear, actionable insights. It will support BSO and Area teams in evaluating options and making informed decisions across areas such as fiscal year Planning, Fast Start, Segmentation, Territory design, Resource allocation. The role will also identify opportunities to simplify and improve how we work through AI, automation and fit-for-purpose tools, building scalable capabilities that improve productivity and enable more effective execution across the organisation.
Responsibilities
- Data-driven decision support: Analyse large and complex datasets and translate them into clear, practical insights that enable BSO and Area leaders to make better-informed planning and operational decisions.
- Data visualisation & Power BI: Design and build intuitive Power BI dashboards, analytical views and visualisations that surface the key trends, outliers, risks and opportunities behind the data, rather than simply reporting metrics.
- Area insights: Develop clear, relevant Area/Subsidiary -level views and insights that enable Areas to understand their business, identify where action is required and make informed decisions.
- Scenario modelling: Build analytical models and tools that allow teams to test different scenarios and understand the potential impact of decisions across segmentation, territories, resource allocation and other planning choices.
- Fast Start enablement: Develop the analytical and modelling capabilities required to support Fast Start, giving BSO and Area teams clear visibility to support planning decisions and execution.
- Enablement tooling: Develop and improve tools and digital capabilities that enable programmes and content to scale effectively across the organisation.
- AI & automation: Identify practical opportunities to apply AI, Copilot and automation to simplify processes, improve the way data is consumed and reduce manual effort..
Qualifications
- Demonstrated experience working with large and complex datasets, with the ability to structure, analyse and interpret data effectively.
- Advanced Power BI and Excel capability, including data modelling, visualisation, dashboards and scenario analysis.Strong ability to turn complex datasets into simple insights, visualisations and recommendations for business audiences.
- Proven ability to identify trends, outliers, patterns and opportunities within data.Experience building practical analytical tools and solutions to support business planning and decision-making.
- Ability to work effectively across a complex, highly matrixed environment, connecting multiple stakeholders, priorities, processes and data sources.
- Understanding of BSO processes and sales planning disciplines and how they come together to support field execution would be an advantage
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.
Skills Required
- Experience working with large and complex datasets and the ability to structure, analyze, and interpret data effectively
- Advanced Power BI and Excel skills, including data modeling, visualization, dashboards, and scenario analysis
- Ability to translate complex datasets into simple insights, visualizations, and recommendations for business audiences
- Ability to identify trends, outliers, patterns, and opportunities within data
- Experience building practical analytical tools and solutions for business planning and decision-making
- Ability to work effectively across a complex, highly matrixed environment and connect multiple stakeholders, priorities, processes, and data sources
- Understanding of BSO processes and sales planning disciplines supporting field execution
Microsoft Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Microsoft and has not been reviewed or approved by Microsoft.
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Fair & Transparent Compensation — Pay is presented as broadly competitive overall, with clear role/level/location variation and an emphasis on using posted ranges and band information for apples-to-apples comparisons.
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Retirement Support — Retirement benefits are described as a standout, highlighted by a strong 401(k) match structure and immediate vesting, plus additional plan features for tax-advantaged saving.
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Parental & Family Support — Family-oriented benefits are portrayed as a meaningful strength, with substantial paid parental leave and added supports like back-up care and adoption/surrogacy assistance.
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