Senior Manager, Data Analytics

Overview

As a Senior Manager, Data Analytics, your individual contribution will largely focus on the portfolio of work that the team is engaged in.

There is a continuous cause and effect process tracking that, as a contributor, you will need to create or enhance. Data is only as good as it’s collected, so ensuring that there is data continuity across all platforms, used in all steps of the process and enhanced to drive the appropriate change will be key to your success.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more, and we’re dedicated to this mission across every aspect of our company.

Our culture is centered on embracing a growth mindset and encouraging teams and leaders to bring their best each day. Join us and help shape the future of the world.

Qualifications

Required / Minimum Qualifications

• Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 4+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysisOR Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 2+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysisOR equivalent experience.
• 3+ years of experience in business, Supply Chain, process improvement or related organization.
• 3+ years of advanced SQL, Python, TSQL and DAX Skills
• 3+ years with Power Platform experience, Power Apps, Power BI, Power Query

Other Requirements :

Ability to meet Microsoft, customer and / or government security screening requirements are required for this role. These requirements include, but are not limited to, the following specialized security screenings : Microsoft Cloud Background Check : This position will be required to pass the Microsoft Cloud background check upon hire / transfer and every two years thereafter.

Additional or Preferred Qualifications

Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 6+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis

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

OR equivalent experience.

• Technically sound in SQL and TSQL
• Proven Track Record of evaluating unstructured data and creating appropriate master data taxonomy
• Demonstrated ability to manage product documentation
• Proven ability to manage a portfolio of technology
• Senior Leadership presentation skill
• Ability to use MS Excel for forecasting
• Ability to user MS Visio for process flow documents
• Experience with Complex Forecasting Model Development Experience in a Long Lead Environment

Data Analytics IC4 - The typical base pay range for this role across the U.S. is USD $103,800 - $200,300 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $133,700 - $219,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here :

Microsoft will accept applications for the role until July 16, 2024.

COICareers

Responsibilities

• Lead project teams in support of different project workstreams, and manage overall project activities, plans, and schedules associated with deliverables and milestones.
• Lead, guide and support multiple workstream leads / consultants through the design and implementation of targeted change strategies including identification of change impacts to people, process, policy, and structure, stakeholder identification and alignment, appropriate communication and feedback loops, success measures, training, organizational readiness, and long-term sustainability.
• Ability to synthesize numerous sources of information to create long range forecasting models while ensuring that operations are reflective of the plan.
• Leads, drive day-to-day change management activities while providing the appropriate levels of support and coaching.
• Recommend appropriate new or revised change management tools and practices.
• Bring Supply Chain experience and help to shape the vision in alignment with the overall Supply Chain Transformation core team.
• Baseline of current process and drive lean processes on the global and regional basis.
• Evaluate and engage with external partners to accelerate transformation.
• Develops depth of understanding of the business, its data landscape, and the lineage of those data across multiple areas.
• Leverages understanding of data and the business to examine projects through a customer- and / or stakeholder-oriented focus.
• Identifies and leverages appropriate sources of data to address specific business needs.
• Determines appropriate analytical and inferential techniques to address business questions, executes analyses and interprets results with actionable recommendations, and partners to build on others' analyses and frameworks.
• Shares and simplifies relevant findings and insights to tell stories of analyses through one or more means. Supports and / or consults with other teams on the build and execution of formal experiments or develops prototypes / proofs of concepts, to evaluate the impact of new or changed features or processes.
• Recommends efficiency improvements for core work related to analytics and reporting that are reusable, self-service, and directed to meaningful interpretation of data and driving business decisions.
• Understands linkages between analytical model(s) and business objectives.
• Stays abreast of data privacy requirements, responsible and ethical data handling practices, and models compliance with classification and governance rules and regulations

Embody our&

Benefits / perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

Industry leading healthcareEducational resourcesDiscounts on products and servicesSavings and investmentsMaternity and paternity leaveGenerous time awayGiving programsOpportunities to network and connect