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Microsoft Corporation Cross-Solution Data Architect in Bellevue, Washington

Do you have a passion for enabling cutting-edge business insights and automated business enablement capabilities and being part of delivering next generation BI, analytics, and reporting to enable the US subsidiary & leadership to find the hidden trends and insights around cross-solution & Business Applications? How about driving how we accelerate this now and into the future? If so, the US BI & Analytics team is looking for you!

The US BI & Analytics team resides within the US Marketing & Operations (USM&O), which is the ‘Marketing and COO’ function for Microsoft United States (MSUS), also known as the US subsidiary. USM&O executes company strategy and priorities that enable us to achieve our business goals with a focus on B2B customer engagement by developing and executing on go-to-market programs (GTMs), Marketing Campaigns, and a Field Operating Model. Driving a common operating model across the US subsidiary ensures consistent, measurable execution and landing of priorities. Driving alignment with our internal corporate partners as well as Engineering and Field Leadership is also critical to our collective success, as is continuing to listen, learn and respond via rapid feedback loops, all aligned to driving core business priorities such as: Simplify & Optimize, Focus on Growth & Share, and more.

The US BI & Analytics team within it is the center for Business Intelligence, data analytics/reporting, enablement, and automation behind it. This team helps enable powerful reporting, automation, and enablement capabilities, driving clear insights that result in Microsoft achieving/exceeding its business objectives, and this open role is our Microsoft Cross-Solution & Business Applications business and strategy data analytics lead.

The successful candidate for this role will lead the Microsoft Cross-Solution & Business Applications insights for the team across the U.S., supporting existing U.S. leadership and field team rhythms, while also leading the partnership with Worldwide on driving next level intelligent and predictive analytics around the business within the MSX Insights platform. This team scales by utilizing standard platforms, processes and tools, and delivering Subsidiary and Segment level analytics and capabilities to light up business insights that enable "One Microsoft" growth planning and speed in decision making.

This role will also partner directly with the other members of our US BI & Analytics Team, across our Field Enablement & Experience, Business Process, Solution Area, and the Technical Enablement portions of the team, to land and drive our Empowering Success initiative across our field teams and US Subsidiary.

Responsibilities

  • Initiates, leads, and performs in-depth analysis and provides recommendations, repeatable data compilations or dashboards to support complex business problems.

  • Build engine to generate predictive analytics capabilities and data insights for Field sellers, managers, and leadership to understand actionable insights and how to best use it to achieve measurable results.

  • Interpret complex business requirements, translating them into analytical problems and delivering high value insights and information. Integrate and work with US field teams, US Finance, US Leadership, and Worldwide teams to prioritize business and information needs aligned to field businesses and execution

  • Interpret data, analyze results, and deliver end-to-end deep data analysis/trends to “light up” actionable strategic insights related to Microsoft Cross-Solution & Business Applications businesses & their impact across the Microsoft business

  • Utilize/deliver standardized tools and reporting which enable speed, efficiency, and scale in the business to accelerate the standardized sales operations

  • Locate and define new process improvement opportunities and solve for root cause issues, including filtering and “cleaning” data by reviewing reports and performance indicators to locate and correct problems

Qualifications

  • Professional experience in three or more of the following:

  • 3+ year of predictive analytics experience – preferably using Azure ML, Python or R.

  • 3+ year of data engineering experience - ETL and data management preferably using Azure Data Factory, Azure Databricks or Azure SQL.

  • 3+ years of engineering experience using large data systems on T-SQL.

  • 3+ years of Big Data Analytics experience - preferably in Azure Synapse Analytics and/or Azure Analysis Services.

  • 3+ years of design, implementation, or consulting experience in sales applications or infrastructure.

  • 2+ years of AI experience – preferably using Azure cognitive services.

  • Strong problem solving and analytical skills.

  • Statistics knowledge: hypothesis testing, experimentation, regressions etc.

  • Able to work independently in a fast-paced environment and prioritize assignments.

  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy

  • Strong executive communication and the ability to deliver clear instruction over digital, written, and live communications.

  • Strong communication and collaboration skills with capability to execute with business and IT stakeholders. (Functional - Ex. Sales, Partner, Services, Microsoft Field Sales - knowledge preferred)

  • Ability to translate isolated data asks into broader business needs to deliver greater impact

Preferred Skills:

  • Experience with Microsoft and/or Industry business, Microsoft Partner ecosystem, Microsoft Sales Process, Sales operations and/or Finance

  • Familiar with financials, pipeline, forecast, consumption, and other internal measurement tools

  • Proven working experience as a data analyst or business data analyst

  • Strong working knowledge of Power BI, DAX, and data modeling. (Understanding of existing Microsoft systems and data sources preferred)

  • In-depth technical capabilities in SQL, Machine Learning, and predictive analytics

Education

Bachelor's degree required and/or experience in: information technology, mathematics, operations, or finance.

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. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. 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 (https://careers.microsoft.com/us/en/accommodationrequest) .

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

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