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Marketing/Data Analyst

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Collects data and conducts qualitative and quantitative analysis

***Required: •SQL, PL/SQL, and/or MySQL, • Excel Pivot Tables, Analytic Functions, • Ability to pull data from various source systems and reporting interfaces***

Candidate will be responsible for retrieving, processing, summarizing and preparing campaign data for analysis, assist with reporting development, analysis and distribution.
2-5 years data analysis experience

Specific responsibilities include but are not limited to:
• Acquiring data from multiple database and reporting interface sources
• Filter and “clean” data, review reports and performance indicators to locate and correct data problems
• Assist with creation and timely delivery of reporting and analysis to internal clients
• Conduct ad hoc analysis on an as needed basis

The ideal candidate will have proven problem solving skills, is able to quickly learn and effectively manage time for delivery of multiple reports on a consistent basis.

Required:
• SQL, PL/SQL, and/or MySQL,
• Excel Pivot Tables, Analytic Functions,
• Ability to pull data from various source systems and reporting interfaces

HIGHLY PREFERRED Skills:
• MS Server, Oracle, Toad
• Cognos

Preferred but not required skills:
• MS SQL Stored Procedures
• Analytic Functions (preferred but not required)
• Oracle Database (Toad) (preferred but not required)
• SSIS / Linked Servers
• Google Analytics experience; familiarity with Universal Analytics and Google Tag Manager
• Strong understanding of the concepts, terminology, and measurement issues in Web Analytics
• General exposure to or understanding of the principles of SEM, SEO and other customer acquisition strategies

Ideal Candidate
• 2-5 years of experience with report development, databases (SQL query writing, RDBMS concepts)
• Adept at queries, report writing and discussing findings
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Knowledge of statistics and experience using statistical packages for analyzing large datasets Excel, Access, SPSS, SAS etc. (a plus)

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