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Job Id : 4110

Jobtitle : Data Analyst

Location : Charlestown, MA

Company Name : MARC USA

Industry : Information Technology

Salary : $65,000 - $95,000  YEAR

Job type : Fulltime

Posted on: 2019-08-16


Required Skills : SQL And Excel

Benefits : No benefits are available


Your Role – What You’ll Be Doing:

  • Help develop campaign measurement strategies for clients across a wide range of industries
  • Extract, transform, load and blend data from multiple sources, while maintaining strict standards for data quality and accuracy
  • Utilize a variety of web analytics, data management and business intelligence tools (Google Analytics, DART, SQL, Power BI, Excel, etc.)
  • Design, develop and maintain client-facing reports and dashboards to visualize key patterns and trends
  • Collaborate with cross-agency teams to develop data-driven insights and recommendations, optimize media performance, and identify opportunities to deliver added value and enhance client relationships
  • Develop and execute test designs and ad hoc analyses
  • Develop and present findings to clients and senior-level stakeholders

To excel in this role, you should have the following:

  • Bachelor’s degree required, preferably in Math, Statistics, Economics, Data Analytics or a related field
  • 1-2 years of data analytics experience required
  • Proven data manipulation and analysis skills in SQL and Excel (familiarity with Microsoft Power BI, DOMO, VBA a plus)
  • Familiarity with digital media campaigns and channels (paid search, display, social, etc.) preferred

The Boston (Charlestown) office of MARC USA / Cogniscient Media is hiring a progressive Data Analytics pro, with a Digital Media focus.  Our Data Analysts work with agency and client teams to plan, measure, and optimize digital media campaigns. Analysts help to develop strategic measurement and testing plans, design and manage performance reports and dashboards, and help clients translate raw data into meaningful insights and recommendations. This individual should have strong attention to detail, excellent communication and presentation skills, and experience analyzing and modeling data from a variety of sources.

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