Senior Finance Manager at Microsoft

Senior Finance Manager Details

March 21, 2019, 7:26 p.m.
Individual Contributor
Redmond, WA
Finance BI Team BI Team, Finance
Finance BI Team, Finance Business Intelligence Manager Compliance Analytics Program Are you looking to have broad impact with Microsoft's senior leadership and our worldwide Finance and Sales teams? Do you want to be at the center of risk mitigation and learn from a holistic view how to model and manage risk for Microsoft? Would you like to be a catalyst in the transformation of the way we deliver impact through data, analytics and machine learning? If so, this is your next role with Microsoft. The Finance Business Intelligence team within Corporate Finance and Administration has a broad remit which includes managing the systems which support the world-wide financial reporting processes and driving many strategic initiatives to support our transition into the Intelligent Cloud and Intelligent Edge world. We are looking for a strong, experienced, and hands-on Finance data professional who is passionate about Finance, BI and analytics using the various Microsoft BI and analytics technologies

Responsibilities  Ensure successful operation of existing High Risk Deals solution while onboarding additional scenarios.  Enhance existing High Risk Partner model as the team refines Partner definitions.  Represent capabilities in business and technical terms with descriptive requirements, design, mock-ups and process workflows to ensure business outcomes are enabled.  Management of multiple concurrent releases using a weekly agile sprint delivery model.  Understand technical architecture to determine project impacts.  Drive business feedback sessions and translate to development teams in
Qualifications Bachelors Degree • 5+ years of experience working on business intelligence, analytics or other data systems. • 5+ year of experience in Finance, Accounting and ERP systems knowledge. • 5+ years TSQL and DAX experience launching tabular models and PowerBI models on an enterprise grade. • 3+ years of experience working with sales and volume licensing data. • 2+ years of experience working with data scientists including machine learning outputs into BI models. • Experience in a SCRUM/Agile delivery environment. • Excellent organizational and interpersonal skills, developing strong working
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