Data Analyst responsible for data treatment and dashboard creation for Hospital Care. Focused on utilizing data for informed decision - making in a hybrid work environment.
AI
Hybrid Principal Data Analyst, Internal Audit
Posted 2 months ago
About the role
- Principal Data Analyst providing advanced analytics services to Internal Audit for audit engagements and innovation. Analyze complex datasets and build predictive models to support business objectives.
Responsibilities
- Provides various advanced analytics services to Internal Audit (IA) in both the execution of audit engagements and innovation to help IA define and realize the future.
- Builds, deploys, trains and maintains anomalies models.
- Analyzes business results, external market dynamics and other data sources to assess trends and develop actionable insights and recommendations to management.
- Reports to a Director, Internal Audit Professional Practices and Quality.
- Manipulates and investigates large and complex datasets, formulates data requirements and model specifications needed for development.
- Explores data using a variety of advanced statistical techniques to deliver audit objectives and continuous monitoring for risk sensing.
- Combines business acumen with mathematical capabilities to build complex predictive models to support IA objectives and processes.
- Serves as statistical expert in consultation to IA, to support design and analysis of business experiments.
- Creates business application and modeling framework for new datasets and discovers insights and relationships from large and complex datasets through investigative research using advanced mathematical and/or statistical techniques.
- Networks, researches and maintains awareness of industry best practices and business strategies, proactively bringing in new and innovative ideas and approaches to develop business solutions.
- May be requested to complete other assignments or participate in projects based upon skills, achievements, or experience.
Requirements
- Demonstrated experience providing customer-driven solutions, support or service.
- Demonstrated experience formulating, approaching, and solving problems in massive, complex datasets.
- Demonstrated experience consulting and working with leadership on complex datasets.
- Demonstrated experience communicating business implications of complex data relationships and results of statistical models to multiple business partners.
- Demonstrated experience interfacing with business clients and partnering with business stakeholders to create solutions.
- Demonstrated experience extracting, cleansing, combining and manipulating large, and diverse data sources for analysis.
- Demonstrated experience in managing and leading large complex projects related to analytics.
- Demonstrated experience in developing and supporting large language models.
- Demonstrated strong experience with statistical and modeling software tools.
- Python, GCP and Power Bi experience are preferred.
Benefits
- comprehensive medical, dental, vision and wellbeing benefits
- competitive 401(k) contribution
- pension plan
- annual incentive
- 9 paid holidays
- paid time off program (23 days accrued annually for full-time employees)
- student loan repayment program
- paid-family leave
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