Data & Analytics Consultant

Driven by Innovation and built on Trust, rockITdata is a unique SDVOSB services company that partners with leading commercial healthcare/life sciences organizations on cutting edge innovations - think AI, automation and data transformation. We then bring those commercially tested solutions to  government entities to deliver predictable, measurable impact for the American taxpayer and consumer.

Job Description
rockITdata is seeking a Consultant to join our Emerging Solutions team focused on AI, Data & Analytics. We specialize in providing strategic insights and transformative solutions to healthcare organizations, including providers, payers, pharmaceutical companies, and biotechnology firms.

Key Responsibilities

• Assist in gathering, cleaning, and transforming raw data from different sources (e.g., databases, APIs, spreadsheets).
• Perform data wrangling tasks to ensure data quality and consistency.
• Analyze datasets to identify patterns, trends, and insights.
• Create basic data visualizations (e.g., charts, graphs) using tools like Power BI, Qlik, and other leading tools.
• Help develop, test, and refine data models or reporting applications for predictive analytics or business intelligence.
• Assist with creating and maintaining data pipelines, ensuring they are running efficiently.
• Support the creation of detailed project documentation, including technical specifications, methodologies, and workflows.
• Develop and test data workflows to transform, cleans and structure data for consumption
    

Required Qualifications

• Must have a BA/BS Degree
• Must have 2-3 years of experience working in the data and analytics space
• Proficiency in Python, R, SQL
• Experience with at least one data visualization platforms (e.g. Qlik, Tableau, Power BI)
• Exceptional communication skills (written and verbal)
• Strong presentation and storytelling abilities
• Critical thinking and problem-solving expertise

Preferred Qualifications

• Experience in Pharma, Biotech or Healthcare
• Experience with Oracle Cerner
• Experience with data ingestion, transformation or wrangling
• Awareness of statistical analysis and predictive modeling capabilities
   

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