Top 3 Marketing data analyst Jobs in Cary Nc

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Senior Data Analyst - Distribution Analytics (Remote)
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marketing data analyst jobs near cary nc

Duration & Type: 6 months Contract with a major pharmaceutical client

Location: Research Triangle Park, NC (3 days in the office, 2 days remote – However, the person must be local to the RTP, NC area)

Responsibilities:

Maintain reports and analysis that will support short and long-term product strategic plan objectives.
Work closely with their Marketing customers to analyze business problems, identify opportunities, provide recommendations, and assist in the implementation of solutions to complex business problems.
Perform routine and ad-hoc analysis to support the Strategic Plans of the company.
Expected to gain an in-depth understanding of the Company’s product portfolio, and internal and 3rd party data sets, and be able to work with these data sets to produce business intelligence and strategic insights that influence marketing strategies and tactics.
Additional responsibilities for a Commercial Data Analyst include advanced analytical support and contributing to the design, maintenance, and effectiveness of the company’s business intelligence tool (as needed).

Required:

Education: Bachelor’s Degree required.
The candidate shall have a proven track record and 8+ years of experience in an analytical capacity, consulting, and/or management reporting with 4+ years in Life Sciences preferred.
A commercial analysis background with experience in supporting life sciences sales and/or marketing teams is ideal.
Expertise in requirements gathering/solution delivery methodologies and previous experience with BI software or reporting packages (e.g. QlikView, Tableau, SAP BO, etc.).
Must be proficient in Excel, including advanced functions, features, pivot tables, lookups, etc.
Experience with QlikView (or other BI tools), SQL, and Salesforce.com is preferred.
Advanced training in data management practices and data modeling techniques is preferred for an Analyst III level.
Experience with predictive analytics and forecasting is preferred.

For consideration, please send resume to [email protected]