Microsoft Business Operations’ mission is to make it easy to do business with Microsoft and to deliver innovative and efficient operational solutions that create great customer experience. Our charter is to launch, transact, improve process, and close gaps. If you love working with others and are inspired by leading deep business analysis of in-market and future business models, applying that analysis to product and services launch and transact motions, curating best practices from multiple lines of business, and pushing the boundaries of what the business can achieve through critical business insights and capabilities, then we invite you to learn more about this role. We offer unique opportunities to work on interesting global projects in an environment that appreciates diversity, focuses on talent development, and recognizes and rewards great work. 

We make doing business with Microsoft easy! 

Responsibilities

Within the Business Process & Analytics (BP&A) team, the Regional Operations Centers’ Business Intelligence (ROC BI) team is based in Dublin, Reno, Redmond, and Singapore. The goal of the ROC BI team is to foster a data-driven culture and to encourage and enable the entire organization to make more informed decisions through data. Through BI/Analytic skillsets, proactive engagement, and subject matter expertise, you will be expected to develop and deliver on the global BI strategy, transforming how Microsoft Business Operations uses data. You will be part of a global team spanning Microsoft’s end to end business processes. 

Success in this role will require strong strategic thinking, fluency in analytical frameworks & quantitative modelling, attention to detail, effective communications and presentation skills, and a collaborative mindset.  

Foundational skills include experience in structuring complex ambiguous problems, conducting analysis, and presenting comprehensive marketing impact stories.  

The role requires deep collaboration across key stakeholders in regional and corporate structures, various functional areas such as supply chain, finance, operations, business intelligence, sales, marketing, and engineering teams. 

Responsibilities

Lead as a senior BI resource to provide business analytics and insights leadership and strategic direction for the business process area through SAFe (Scaled Agile Framework® for Lean Enterprises) methodologies. 

Drive strategic thinking, structure ambiguous problems, identify the right frameworks and technologies to address problems across the entire BI stack, including data warehouse, cloud migration, standard reports, analysis, dashboards, machine learning / AI, and scorecards. 

Drive execution of key experiments, pilots, and strategic projects with functionally and geographically diverse partner teams. 

Lead data analysis to discover key findings that inform decisions. Perform and deliver in depth analysis on business performance (trends, funnels) and drivers that deliver a better internal understanding of the customer or partner experience. Use sound analysis to apply statistical models that allow forecasting of return on investment (ROI), profitability, share, and/or profit margin.  

Democratize the use of data through reporting automation, and advanced layouts and visualizations. Be the change agent to enable a global team to make data-driven decisions. 

Proactively engage other BI teams, with the goal of leveraging other’s great work, and sharing work with others. Provide guidance to engineering for various assessments and help business with reporting requirements for new projects/programs.   

Work collaboratively with internal teams to find patterns in data and turn into actionable business impact that drives growth and efficiency.  

Communicate overall results of business analyses to multiple levels of leadership across all mediums (written, oral, presentations). 

Inspire an energizing work environment within an innovative, efficient, flexible, diverse, and geographically dispersed organization. 

Challenge assumptions and determine risks and areas of uncertainty, and work with your team to mitigate those risks. 

Qualifications

The ideal candidate will have demonstrated experience in working effectively in cross-functional international teams (often virtual) comprised of full-time employees and vendors. They should also possess strong leadership & organizational skills and positively influence others. Additionally, can think creatively, be analytical, objective, and independent, and speak in both business and technical terms. 

Basic Qualifications:

BA/BS degree in Operations, Business, Engineering, Economics, Analytics, Data Science, or a related field, or equivalent alternative education, skills, and/or practical experience is required. 

Experience in Operations, Sales, Business Intelligence, Program Management, AI/ML Product Management, Technical Product Management. 

Data Analytics experience.

Knowledge of Data Analytics programming languages.

Preferred Qualifications: 

Master’s degree in a quantitative field or MBA/masters in Analytics, Data Science, Ops, Finance or equivalent alternative education, skills, and/or practical data analysis or science experience. 

Deep experience in data science or business analytics, big data, machine learning.

Experience working  with global teams, multi-functions and across organizations. 

Strong relationships & stakeholder management. 

Excellent communication skills and leadership with the ability to build solid relationships with individuals at all levels, in multiple geographies and business functions. 

Demonstrated excellence in thought leadership, innovations, and execution management; ability to influence without authority. 

Certified SAFe® Product Owner / Product Manager / Agilist / Program Consultant.

Self-starter with a strong passion for using data to influence business decisions and strategy investments. 

Strong experience and capacity for leading change, dealing with ambiguity, and building creative solutions. 

Successful record of dealing with complex organizations through influence and collaboration. 

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.