Director of Consumer Analytics and Business Insights job at Sleep Number by Select Comfort

Job Description

The Director of Consumer Analytics and Business Insights has primary responsibility for setting the strategy and vision of an Enterprise Data Capability, and for managing the day-to-day tactical operations of the data analytics and business insights team.
The Director will lead his/her team by establishing and executing a vision for the delivery of integrated consumer and business insights to the business’s key stakeholders, via the establishment and management of an analytics platforms and supporting solutions. This position will be ultimately responsible for helping Sleep Number continue to differentiate and compete through insights and analytics.

Responsibilities:

Effectively lead the team that analyzes and integrates data from large datasets spanning a variety of sources, consumer groups, environmental factors, and time frames into cohesive scalable models.
Develops recommendations for action based on both quantitative and qualitative analysis of macro-economic, industry, competitive benchmark, consumer, and customer research data.
Provide leadership for the strategic, tactical, financial, operational, and technical execution associated with a data analytics Center of Excellence including, but not limited to data preparation (sourcing, acquisition, integration), data warehousing and governance, and selection and management of analytical tools.
Develop recommendations for action based on both quantitative and qualitative analysis of macro-economic, industry, competitive benchmark, consumer, and customer research data, developing reporting capabilities and utilizing advanced/predictive modeling and analytics.
Advance operationalization of “voice of customer” analytics.
Develop and leverage Big data operationalization (e.g. finding ways to leverage existing enterprise data and information to advance the company's products and services).
Analyze and integrate data from large datasets spanning a variety of sources, consumer groups, environmental factors, and time frames into cohesive scalable models.
Integrate learning from various discrete research studies in order to advance organization level insight and knowledge of our target customer.
Develop recommendations for action based on both quantitative and qualitative analysis of macro-economic, industry, competitive benchmark, consumer, and customer research data.
Support ongoing research projects with real time analysis and feedback to research teams and their business partners.
Advise partner teams on data structuring and integration as we design new methods for acquisition and analysis of direct consumer data.

Qualifications:

A minimum of 10 years of progressively responsible experience in data analytics and business intelligence, during which both professional and management capabilities have been clearly demonstrated.
Proven ability to drive action by interpreting and integrating both qualitative and quantitative feedback.
Extensive experience with data science, statistical analysis, data mining and predictive algorithms.
Experience and understanding of a wide variety of analytical processes (governance, measurement, etc.).
Experience with business driven / self-service business intelligence tools.
Extensive experience interacting with C-level executives.
Experience with consumer durables products and/or retail .
Extensive expertise in data modeling; highly proficient with Excel, relational databases, statistical modeling (SAS/SPSS), and other business intelligence tools.
Proven ability to establish and articulate a vision, set goals, develop and execute strategies, and track and measure results.
A firm understanding of big data, predictive analytics, and business intelligence trends, including leading edge technologies and best practices.
Proven strong leadership skills and ability to build and motivate a team to achieve well communicated expectations.
Proven ability to work cross-functionally, manage ambiguity, and build consensus to deliver results.
A strong understanding of data security and privacy technologies.
A solid understanding of Customer Experience (CX) trends and technologies.
Proven strong negotiating and consensus building abilities.
Degree in statistics, computer science, mathematics, management, or a related field; MBA preferred.

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