Senior Analytics Engineer
Fairview Health Services
M Health Fairview is currently seeking a Sr Analytics Engineer to join our team! The Senior Analytics Research Engineer role is responsible to build design, develop, and maintain analytic models to improve operations, research, knowledge, and discovery. This engineer is focused on improving clinical outcomes for patients with sepsis and other acute care conditions and associated research projects. This position is integral to facilitate data to knowledge (D2K), a critical step to guide performance and quality improvement in clinical care.
Responsibilities
- Pre-processing of M Health Fairview Acute Datamart to facilitate model development and outcome/process measurement with timely task completion as prioritized by M Health Fairview Sepsis research team
- Integration of external data sources into the Acute Care Datamart to facilitate causal discovery driving clinical care variation (e.g., FIPS, State Death Certificate data feed, Provider call schedule)
- Develop models and other information assets which will improve operations and business outcomes, including research, knowledge, and discovery.
- Leads initiatives to various types reporting and analytic output using tools defined by Epic, Fairview IT, and the business. This role will include the use of advanced analytic and visualization tools and methods as well.
- Accountable to chief medical officers, nurses, physicians, and leadership to create advance operational analytic data visualization using electronic medical record data and other source systems.
- Proficient in creating enterprise level written narrative summaries that outline project purpose, methodology, summary of findings, trends of interest, and opportunities for consideration.
- Captures, cleanses, and transforms data to provide insight and actionable recommendations.
- Creates written narrative summaries that outline project purpose, methodology, summary of findings, trends of interest, and opportunities for consideration.
- Provides technical, analytical and business guidance to other team members and other departments with Fairview.
- Proficient in: Displaying original thinking and creativity; Meets challenges with resourcefulness; Generates suggestions for improving work; Develops innovative approaches and ideas; Presents ideas and information in a manner that gets others' attention.
Required Qualifications
Education
- Bachelor's Degree or certification of associate degree in related field, or equivalent combination of education and/or work experience is required
Experience
- 5 to 7 years of experience in healthcare data analysis and/or report writing
- Proficiency with Azure ML Studio, Python, R, and/or Stata
- Strong analytical skills with high attention to detail and quality
- Excellent technical and interpersonal communication skills
- Strong organizational and time management skills
- Ability to effectively manage and organize multiple projects and responsibilities.
- SQL(PL/SQL or T-SQL) and Crystal report programming experience is required.
- Strong quantitative and analytic skills.
- Ability to think creatively and work collaboratively to address problems.
- Ability to write and present data visualization and presentations.
- Experience with reporting Systems Development Lifecycle (SDLC) within an enterprise Electronic Health Record (EHR).
Preferred Qualifications
Education
- Master’s Degree in a Clinical field, Computer Science, Mathematics, Statistics, or other quantitative discipline preferred
Experience
- PowerBI experience
- Proficiency and/or ability to implement predictive models, machine learning algorithms, and statistical methods. Ability to acquire and maintain proficiency in additional machine learning and statistical methods as use cases develop.
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