Sr CRM Data Analyst - Columbus, OH

at  Abbott Laboratories

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 114,000 colleagues serve people in more than 160 countries.
Our nutrition business develops science-based nutrition products for people of all ages, from helping babies and children grow, to keeping adult bodies strong and active. Millions of people around the world count on our leading brands – including Similac®, PediaSure®, Pedialyte®, Ensure®, Protality® and Glucerna®– to help get the nutrients they need to live their healthiest life.

REQUIRED QUALIFICATIONS

• Experience: 3-5 years of hands-on experience in marketing analytics, data mining, business analysis, and/or statistics.
• SQL Skills: Experience using SQL for ETL/Data Management.
• BI Tools: Experience with Business Intelligence tools such as Power BI or Tableau.
• Programming Languages: Strong experience with statistical or general programming languages such as Python or R.
• Desktop Computing: Desktop computing skills and experience using word processing, spreadsheet (e.g., Microsoft Excel), and presentation graphics (e.g., Microsoft PowerPoint) software programs.
• Functional Backgrounds: Relevant functional backgrounds include Marketing Analysis, Marketing Response Modeling, Financial Modeling, Database Marketing, or Statistical Modeling & Forecasting.
• Presentation Skills: Proven success in presenting complex data to non-technical, senior leaders in an organization.
• Strategic Discussions: Ability to interact and conduct strategic discussions with multi-divisional leaders.
• Work Ethic: Strong work ethic, passionate about marketing, nutrition, and driving results.
• Degree: Must possess a BS degree in Applied Statistics, Analytics, Mathematics, or other quantitative science (STEM discipline). MS/MBA or Ph.D. in a quantitative discipline preferred. Additional relevant experience beyond the requirements above could substitute for graduate education.

Please refer the Job description for details