🤖 Senior Data Analyst / Great Place To Work!
This Jobot Job is hosted by: Jay O'Brien
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Salary: $75,000 - $90,000 per yearA bit about us:
We’re a mission-driven, not-for-profit organization committed to delighting our customers and developing our employees. Servicing over 75 State and Federal programs in 30 states, this company makes creative use of data science, clinical expertise, and emerging technology solutions to make the healthcare system work better.Why join us?
Great Company and Culture - awesome growth opportunity!Job Details
In the Senior Data Analyst role, you will be part of a team that improves the quality of care delivered in a variety of settings, including hospitals, outpatient clinics, nursing homes, ESRD centers, and managed care plans. Your regular work will include collecting and reviewing data, developing analytic approaches, producing reports and dashboards, conducting root-cause analyses, and summarizing information for clients. You will also be involved in internal and client projects that leverage advanced analytic approaches, including regression analysis, ROI measurement, predictive modeling, machine learning, and more. Duties may include, but are not limited to:
Helps business users create optimal business requirements by exploring data and analytic alternatives and guiding users to the most cost-effective and efficient approach to meeting their needs. Translates internal/external client business requirements into actionable instructions for meeting client needs.
Designs analytics (reports, dashboards, models) to respond to very complex requests. Develops advanced quantitative approaches (drawing on a range of methodologies) to address client needs.
Performs strategic data mining and research to identify opportunities for improvement and otherwise support business needs.
Conducts complex statistical analyses (e.g., regression analysis, predictive modeling).
Ensures accuracy, data integrity, and face validity of all work.
Writes reports with charts and graphs; presents to internal and client leadership; and summarizes findings and recommendations for technical/clinical and nontechnical/ nonclinical audiences, as appropriate.
Creates and maintains databases to support analytic outputs. Collaborates with centralized data management resources.
Ensures all analyses use high-quality data. Develops strong understanding of data sources and works with client data management staff to ensure complete, accurate, and timely data.
Demonstrates the ability to multitask and manage many simultaneous projects and last-minute emergencies to meet deadlines while still maintaining a strong attention to detail.
Supports continuous quality improvement. Contributes regularly to improving data and analytics sophistication and efficiency within the department and across the enterprise.
Creates documentation (such as code detail, report specifications, narrative backup, and metadata) for all outputs. Reviews documentation produced by more junior analysts.
Produces all agreed upon deliverables on or ahead of schedule.
Accepts ownership of large parts of department or corporate projects.
Degree in an analytical, technical, or scientific field (e.g., data science, computer science, biology/chemistry, statistics, public administration, public health, or related social science fields); or equivalent work experience.
Proficiency and experience with at least some of the following required:
Relational database concepts/query tools (e.g., SQL, Metabase, MS Access/Visual Basic, Visual Studio)
Data management tools (e.g., Matillion, Python)
BI visualization tools (e.g., Tableau, MS Excel, Power BI)
Presentation tools (e.g., MS Word, MS PowerPoint)
Statistical programming experience in SAS, R, or SPSS a plus.
Ability to communicate complex concepts orally and in writing to technical, leadership, and lay audiences using
Written reports that clearly describe methods, findings, and recommendations in language appropriate for the audience
Excellent troubleshooting, listening and problem-solving skills
EDUCATION & EXPERIENCE:
Bachelor's Degree with two (2) years of data & analytics experience, required or Master’s or PhD Degree, preferred.
Certifications in data governance or related certifications such as Project Management Professional (PMP), Lean Six Sigma, or Certified ScrumMaster (CSM), preferred.
Experience with standard analytic techniques (e.g., trending, benchmark comparisons, data mining, dashboard creation, statistical analysis).
Experience working with large datasets; experience with healthcare data, preferred.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
- Attention To Detail
- Big Data
- Business Requirements
- Certified Project Management Professional