Business Intelligence Customer Analytics Manager-IEB-IEB Business Intelligence (78957 Job
Microsoft - Redmond, WA

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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.

Responsibilities include:
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



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