It has become increasingly apparent that in representing the end-user, a greater emphasis needs to be placed on integrating non-traditional primary research data into its insights generation process (e.g. web behavior, social media listening, search, etc.). Integrating these different (and at times unstructured) data sources with traditional primary research data (e.g. survey-based data, focus groups, etc.) is becoming critical in driving a data driven culture into Intel's marketing efforts, including driving more effective media targeting and spending; and the build out of predictive models designed to increase the sales efficiency of our marketing campaigns.
The Marketing Data Analyst position requires in-depth data analytics knowledge and expertise. This position requires experience with extracting data from relational databases (using SAS, SQL or alike) as well as familiarity with enterprise level web analytics tools (e.g., Adobe Omniture, Google Analytics Premium, Web Trends, etc.). Experience with digital media planning, optimization and measurement and familiarity of media tools such as DART, Atlas, MediaMind, etc. is a plus.
This position is also involved in client's pursuit of increasingly using unstructured (so-called "big data") and structured data with ultimate goal to connect marketing investments to sales and develop predictive analytics capability. Responsibilities include partnering with Intel IT (or vendors) to translate business requirements into technical data pull requirements. Once initial data extract is performed, further data summarization, manipulation and interpretation is necessary in order to deliver analytical insights and recommendations.
Pulling together results in a digestible manner (e.g. not massive amounts of data but a narrative) that outlines key takeaways and recommendations will be extremely important. Equally essential, the ability to present findings [narrative] to internal teams (and at times, senior executives) that drives action, improvements, and accountability.
Desired Skills and Experience: