Commercial Data Analyst LOC;Durham, NC

Commercial Data Analyst LOC;Durham, NC

  • Posted on : 09-08-2023
  • Job Type : Full Time only
  • Salary : 100,000 - 200,000

Job Description:

Primary Responsibilities include but are not limited to:

  • Work closely with internal clients to develop and deliver standard reports including trending, forecasting, correlation and regression models, and data mining for trends.
  • Analyze data accuracy/relevance and ensure data integrity of reports from heterogeneous data sources.
  • Integrate multiple data sources to produce a comprehensive view of the customer/product/market environment.
  • Provide analytical support for key Hematology and Hypermunes initiatives such as sales force effectiveness, pilot success, strategic planning, ROI analyses, etc.
  • Work with clients to translate business requirements into functional and technical specifications to be implemented in a standard report, ad hoc report, or BI dashboard.
  • Proven ability to quickly learn business processes and identify business analysis opportunities.
  • Develop and refine (as needed) Hematology & Hypermunes deliverables dynamic scorecards with key metrics such as historical and forecasted purchases, days on hand inventory, pull through, market share, etc.
  • Assist in the evaluation and procurement of relevant third part data to support the Hematology & Hypermunes business unit - formulary, medical claims, account profiles, cost of care, etc.
  • Coordinate with colleagues to prepare product-by-product reviews for all NA Commercial Operations meetings, to include ex-factory sales, pull through, and inventory/DOH trends

Requirements:

  • At a minimum, the candidate will possess a Bacheloras Degree and a minimum of 8 years of work experience with 4 years in life sciences, preferred.
  • The candidate should have a proven track record in an analytical capacity, consulting, and management reporting. A commercial analysis background with experience in pharmaceuticals/biotechnology is ideal.
  • The ability to travel up to 10% should be expected. Experience with QlikView and Salesforce.com is preferred.
  • Advanced training in data management practices and data modeling techniques is preferred for senior analyst level.


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