Remote Sr. Consultant / Data Engineer

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Description:

  • rockITdata is seeking a Senior Consultant / Data Engineer to join the Emerging Solutions team, focusing on healthcare organizations.
  • The role involves driving client success for major healthcare clients, including providers, payers, pharmaceutical companies, and biotechnology firms.
  • Key responsibilities include designing and creating complex data visualization dashboards, developing and testing data workflows, performing in-depth data analysis, applying AI and ML concepts, developing business cases and strategic recommendations, collaborating with cross-functional teams, and supporting client engagement from discovery to implementation.

Requirements:

  • A BA/BS Degree is required for this position.
  • Candidates must have at least 3 years of experience in the data and analytics space.
  • Advanced proficiency in data analysis tools such as Python, R, and SQL is necessary.
  • Expert-level skills in Talend (or similar) and data visualization platforms like Qlik, Tableau, or Power BI are required.
  • Strong statistical analysis and predictive modeling capabilities are essential.
  • Advanced Excel and database management skills are needed.
  • Exceptional written and verbal communication skills are a must.
  • Strong presentation and storytelling abilities are required.
  • The ability to build and maintain client relationships is necessary.
  • Critical thinking and problem-solving expertise are essential.
  • Candidates should have the ability to lead project development.

Benefits:

  • rockITdata promotes a culture defined by 10 Guiding Principles that empower employees and encourage an entrepreneurial mindset.
  • The company offers a unique work environment where no day is the same, fostering creativity and innovation.
  • rockITdata is committed to equal employment opportunities and does not discriminate based on various protected characteristics.
  • The organization provides accommodations for candidates with disabilities to ensure accessibility in the application process.
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