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Analytics Manager (Atlanta, GA)

Job Summary -(Role Summary)

Manage strategic and tactical analytics of all projects for the Product Management Department. Lead a team that provides analytical support for various projects including analysis, reporting, making new data sources accessible and market research. Develop analytical tools to measure the performance of various marketing initiatives across Global Distribution Marketing and also track the success of a product thru its life cycle.

Essential Duties and Responsibilities -(Key Activities)

  • Manage the analysis of results of all business programs for the Product Management department
  • Develop new methodology to track new products for the team from conception to completion and then ongoing tracking. Exploring and accessing new data sources and making these available to the business unit for self service.
  • Oversee the creation of statistical methodology using SAS to better measure success of products and marketing initiatives from a pre and post launch perspective.
  • Maintain cutting edge levels of web analytics for the team to be able to use the latest technology available to Product Management for web related projects, like split testing, conversion analysis, design improvements and online surveys.
  • Proactively consult with business functional areas (Product mgmt., Americas Channel Analysis, Distribution Technology etc), to set analysis objectives.
  • Provide results of these analysis in a format that is easy for the business units to understand and also maintain these results for future use (in a resource repository)
  • Oversee the creation of statistical models for distribution business processes. Lead the team in the use of data mining software, and statistical/computational methods in order to take business needs and conceptualize queries that transform data from relational and flat-file database structures to achieve analytical objectives including statistical techniques for post promotion analysis and response modeling.
  • Coach and develop team members; hire, fire, assess, discipline, document performance, recommend salary and classifications changes. Act as an advisor to subordinate staff to help meet established schedules and/or resolve technical or operational problems.

REQUIRED QUALIFICATIONS

Education

Master's Degree in Statistics, Mathematics, Economics or other quantitative discipline or an equivalent combination of education and work related experience.

Experience

6 -8 years progressive work related experience with demonstrated proficiency in multiple disciplines/processes related to the position including relational decision-support databases (preferably a data-warehousing environment), along with demonstrated quantitative/computational skills and web analytics.

Technical Skills and Knowledge

  • Demonstrated effective verbal and written communication skills for the purpose of providing information to clients, vendors, senior management and staff and ability to prepare and deliver solid presentations to both small and large groups.
  • Good communication strategy demonstrated for working with off-shore and remote teams.
  • Experience with statistical software (SAS, SPSS) and on-line analytical processing tools.
  • Must be proficient in the use of business software products such as Excel, Microsoft Access, Word, PowerPoint
  • In depth knowledge of Web Analytics tools and vendors and working knowledge of industry trends.
  • Demonstrated knowledge of internal business drivers and metrics and trends to be analyzed.
  • Demonstrated expertise in developing analysis of distribution marketing and understands online and offline differences and effective uses for both.
  • Demonstrate project management experience in organizing, planning and executing large Ð scale projects from conception through implementation.
  • Demonstrated ability to manage multiple projects concurrently with rapid turn around and high quality deliverables required.

Apply Online

URL: www.datashaping.com/jobs18092x.shtml
Please mention datashaping.com when applying. Thank you.

 
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