Our client is a fast-growing digital media agency.  Based in the UK, with 50+ offices globally, they have made an aggressive move into the digital media space over the past 12-18 months, winning several major clients.  They are currently looking for a manager-level analytics professional in the Chicagoland area.  Here is their job description:

The Analytics Manager is a multifunctional position involving media research, segmentation, media planning intelligence, web analytics, performance scoring systems, reporting and analysis, automated dashboards and marketing scorecards, and data integration/hygiene.

From a media research perspective, this involves oversight, project management, coordination and questionnaire/screener development in collaboration with PHD research and research vendors.

From a segmentation perspective, this involves participating in client segmentation definition initiatives, developing audience target insights, facilitating the mapping of segment definitions to media, and making segmentation actionable and target-able.

From a planning intelligence perspective, this involves utilizing PHD tools and other methodologies to run client budget allocation scenarios globally by market, estimate reach/frequency thresholds required to meet marketing goals, validate budget levels against communication goals, estimate plan R/F—including cross channel, and validate media flighting strategies against communication goals, and create media mix recommendations that both facilitate communication goals as well as align with target audience media consumption.

From a web analytics perspective, this involves deep familiarity with enterprise web analytics tools, ideally Omniture, and their integration with other data such as ad serving, rich media, ecommerce data, etc, as well as data extracts to produce external reporting.

From a performance scoring system perspective, this involves experience working with clients to create, sell-in and deliver, weighted business value scoring systems that score various activities done by prospects and customers against a weighted business value point system

From a reporting and analysis perspective, this involves experience in driving reporting automation to drive up time spent on analysis versus reporting. This also involves crafting insightful analysis that tells a story that is understandable to the client and that is actionable in driving a set of recommendations that produce demonstrable improvements/results

From a automated dashboards and marketing scorecards perspective, this involves specifying business requirements for automated dashboards and marketing scorecards, developing and maintaining KPIs, working with a variety of data such as competitive, buzz, ad serving, rich media, web analytics data, budget/planning data, dynamic logic/attitudinal type data, etc. This would ideally include top level working familiarity of tools such as Business Objects.

From a data integration/hygiene perspective, this includes experience with combining sets of data, familiarity with databases and database structures; troubleshoot data integration issues and data hygiene issues. This would also ideally include ability to use tools such as SPSS and a deep level of experience with Excel.