Lead Data Analytics Engineer

Skills

Description

Responsible for leading complex projects and independently executing analyses that support the healthcare value portfolio.

Translates technical results into answers for healthcare business needs and applies a strong understanding of healthcare industry when creating those solutions.

Partners effectively outside of the business team to execute work.

Works closely with team members to fully understand the business question and source associated data required for a solution.

Executes work efficiently, bringing forward process enhancements with a continuous improvement mindset.

Responsibilities

• Ability to recognize data patterns, quantify potential issues and identify solutions.
• Ability to standardize, harmonize, clean, prepare and use data for developing datasets, reporting and analysis.
• Ability to perform root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Conduct data gathering and analysis to understand business requirements. Provide direction for short and long-term solutions and provide the team direction to ensure understanding of business goals and direction. Provide input from a business and IT perspective.

Educational Requirements

• Healthcare Experience
• Experience with big data tools: Hadoop, Spark, and scripting languages: Python or Scala
• Experience with data visualization tools, preferably Tableau.
• Solid working knowledge of Microsoft tools and software (i.e., Excel, Visio, Access, PowerPoint)
• Display innovation in identifying, proposing, and overseeing the execution of business solutions.
• Written and verbal communication skills interpersonal skills.
• Ability to work independently, or within a team environment.