Job Category: Software Engineering: Program Management
Location: Redmond, WA, US
Job ID: 789578-78067
Division: Interactive Entertainment Business
Microsoft’s Interactive Entertainment Business is revolutionizing entertainment. IEB has a rich set of entertainment products like Xbox 360, Xbox Live, Zune Marketplace, and more with a highly active and engaged customer base. Our newest innovation, Kinect, has sold over 10 million units since its launch in November of 2010. The set of services making up the Xbox Live cloud is optimized around social, casual and hardcore gaming, and modern entertainment experiences. We're fun. We're social. We're interactive. And, we’re growing!
Are you looking for a high impact position that will leverage your quantitative and database skills around marketing databases and CRM? Do you want to work directly with marketing stakeholders and see your analysis-driven insights proactively applied in real life marketing decision-making? If you excel at initiating, building, delivering and communicating statistical analysis and modeling, and want to influence the future of consumer marketing at Microsoft, then this position is for you. This is an exciting opportunity, in a growing group, to bring quantitatively-based business intelligence to marketing partners at Microsoft and directly affect the strategy and execution of marketing programs.
IEB Business Intelligence is part of IEB Global Marketing organization. Our team is responsible for developing global customer and market insights that drive and inform marketing and product development strategies for IEB. This includes developing a deep understanding of new and existing consumer behavior throughout the customer lifecycle - from acquisition, through on-boarding and user behavior, to cross-sell, up-sell and retention - as well as supporting CRM and digital marketing.
We are seeking a Customer Analytics Manager who will transform data into actionable business intelligence through the use of modeling and advanced statistical procedures, ultimately improving IEB business performance and the quality of customer relationships. Candidate will bring unique quantitative perspective and problem solving skills to such areas as campaign response, lifetime value, churn, web performance, and behavioral segmentation. This is a highly visible, hands-on role, as candidate will work directly with stakeholders in the development and application of statistical models throughout the IEB infrastructure and beyond.
Identifying/driving analytic opportunities within IEB, building relationships with senior level stakeholders, representing Analytics /Business Intelligence team capabilities
Collaborating with marketing & business professionals across IEB consumer businesses to provide analytical and modeling breakthroughs on key marketing programs.
Hands on ideation, creation, presentation, scoring and deployment of behavioral and predictive models, using a variety of statistical procedures and best-in-class analytic practices
Data mining using available software tools
Forecasting, trending, time series analysis
Customer segmentation/statistical clustering
Performing ad hoc analysis
Working with BI staff to create, maintain, and update customer models
Helping develop business requirements for marketing data mart(s)
Managing external vendor relationships, as needed
The ideal candidate will bring the following:
Proficiency in one or more of the following SAS, SPSS, R, SQL Analysis Services, or similar analytic software
Knowledge of SQL and relational databases
Excellent analytical and problem solving skills with hands on experience working with large datasets
5+ years of experience in marketing modeling/statistical analysis or similar role
Experience in data warehouse environment
Experience with B2C/B2B direct marketing strategy and tactics
Excellent oral and written communication skills
Excellent collaborative skills
Strong client services orientation
Consultative and customer-facing skills
Project management experience
Degree or equivalent work experience in Mathematics, Statistics, Operations Research, or related field of study
Experience with one or more of the following is a plus:
Visualization tool such as SAS JMP, Tableau
Campaign management tools such as Aprimo
Data Mining tool such as SAS Enterprise Miner
OLAP tools such as Business Objects
Web site analysis tools such as Omniture Insight
Unstructured data (e.g. Hadoop, Cosmos) extraction and analyses
Microsoft - 20 months ago
Microsoft Corporation develops, manufactures, licenses and supports a range of software products for computing devices. The Company's...