IT Advanced Analytics Developer
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Job Description
IT Advanced Analytics Developer creating reports and dashboards for healthcare stakeholders. Developing datasets and analyzing trends in healthcare programs and interventions with a focus on data stewardship practices.
Responsibilities:
- Creates reports, dashboards, and other self-service solutions that clearly present data to stakeholders; maintains developed solutions
- Develops datasets and datamarts for analyses and interactive solutions; implements documentation, design, and development best practices and methodologies in partnership with senior teammates and leaders
- Analyzes datasets to identify trends and outcomes of healthcare programs and interventions; works with senior teammates and leaders to communicate findings and methodologies to stakeholders
- Actively contributes to multiple projects while balancing competing priorities
- Demonstrates deep understanding of data stewardship guidelines, regulations, and department standards for reporting and handling sensitive data
Requirements:
- Bachelor’s degree in economics, statistics, data science, finance, business analytics, health informatics, or related field
- Epic Cogito Fundamentals accreditation or certification, obtained within 180 days
- Epic Caboodle Data Model accreditation or certification, obtained within 180 days
- Epic Clarity Data Model accreditation or certification, obtained within 180 days
- Typically requires 2 to 4 years of experience in business analytics, healthcare informatics, or related field
- Ability to work independently or as part of a group and balance multiple priorities while consistently completing complex tasks in a goal-oriented manner
- Strong communication skills; demonstrated ability to actively listen and ask clarifying questions
- Team player with positive attitude, strong commitment to customer service, and a desire to master healthcare-related systems and business processes
- Demonstrates critical thinking, ability to problem solve, and is results-oriented
- Experience in programming tools and languages used for data extraction and automation, data management, modeling, and analysis
- Experience working with large-scale data; strong working knowledge of business intelligence concepts and designs
Benefits:
- Paid Time Off programs
- Health and welfare benefits such as medical, dental, vision, life, and Short- and Long-Term Disability
- Flexible Spending Accounts for eligible health care and dependent care expenses
- Family benefits such as adoption assistance and paid parental leave
- Defined contribution retirement plans with employer match and other financial wellness programs
- Educational Assistance Program
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