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Meta Tagging Intern
Posted 7 days ago
As a pioneer in customer experience analytics, ForeSee continuously measures satisfaction across customer touch points and delivers critical insights on where to prioritize improvements for maximum impact. Because ForeSee’s superior technology and proven methodology connect the customer experience to the bottom line, executives and managers are able to drive future success by confidently optimizing the efforts that will achieve business and brand objectives. The result is better business for companies and a better experience for consumers. Visit us at www.ForeSee.com for customer experience solutions and original research.
ForeSee offers a fun and friendly work environment with a passionate and dynamic staff. Our Ann Arbor office boasts an onsite workout facility, on site yoga and weight watchers program, company lounge, collaborative workspaces, Starbucks coffee, Bagel Thursdays, summer food trucks every Friday, ping pong, air-hockey, and other office perks designed to make our employees feel like a team that works and plays and socializes together. The company also provides for their employees an abundance of social events such as an annual holiday party, summer and/or fall event, sporting events; as well participates and sponsors various charities on a continuous basis, such as Relay for Life and Salvation Army. See what it’s like to work at ForeSee on our YouTube Page.
Work with ForeSee Research Analyst to compare and categorize internal ForeSee survey data in an effort to establish industry standard Benchmarks based on the ForeSee survey dataset which contains 80+ million completed surveys. This is as very high profile project within the company, and the results of the work will be presented at the C-Level of our company.
o The candidate should have some familiarity and exposure to social research methods including survey design.
o A general understanding of statistical methods and concepts used in the research setting.
o Strong investigative analytic skills especially with experience in analysis of large scale data sets.
o Provide periodic updates on progress of project.
o Thorough knowledge of Microsoft Office applications, especially Excel, Word and Powerpoint. Familiarity working with statistical analysis products such as SPSS, SAS, etc.
o SQL programming skills preferred.
o Able to work independently, as well as part of a group.
o Extremely detail-oriented.
o exemplary time-management/organizational skills
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