Associate Data Analyst at Euromonitor responsible for data research and statistical analysis. Handling data modelling and forecasting techniques to meet client requirements.
About the role
- Senior Data Analyst focusing on HR analytics in hybrid role at Providence Health Care. Analyzing large datasets to support strategic decision-making and promote data-driven culture.
Responsibilities
- Analyze large, complex datasets to uncover patterns and trends in workforce behavior, performance, and engagement
- Develop clear and impactful narratives using data visualizations and storytelling techniques to communicate insights to diverse audiences, from frontline managers to executive leadership
- Partner with HR leaders to identify key business questions and deliver data-driven recommendations that support talent acquisition, retention, diversity, equity, and inclusion (DEI), and workforce development
- Design and maintain intuitive, interactive dashboards that provide real-time visibility into HR metrics
- Build and deploy predictive models to forecast workforce trends, such as attrition risk, hiring needs, and employee engagement
- Liaises between HR, Finance, IT, and Operations, ensuring alignment in data definitions, reporting standards, and strategic priorities
- Lead data quality by implementing rigorous validation processes
- Mentor junior analysts and provide technical guidance
- Evaluate existing reporting processes and tools and recommend enhancements
Requirements
- Bachelor's or Masters Degree in Data Science, Statistics, Human Resources, Business Analytics, Computer Science or related field
- Minimum of five (5) years of recent, related experience in HR analytics or business intelligence, preferably within the healthcare sector
- Expertise in data visualization tools such as Power BI, Tableau for creating interactive dashboards and reports
- Advanced proficiency in SQL, Python, and R for data extraction, manipulation, and statistical modeling
- Strong understanding of statistical methods including regression, clustering, time-series forecasting, and machine learning techniques
- Experience with HRIS platforms such as Workday, SAP SuccessFactors, or PeopleSoft
- Knowledge of data warehousing, ETL processes, and enterprise data architecture
- Advanced Excel skills including Power Query, pivot tables, and complex formula development
- Familiarity with cloud-based analytics platforms such as Azure, AWS, or Google Cloud
- Strong communication skills with the ability to translate complex data into actionable recommendations
- Demonstrated ability to lead analytics projects and deliver strategic insights to senior leadership
- Physical ability to perform the duties of the position.
Benefits
- A competitive salary
- Growth opportunities
- State-of-the-art facilities
- Inclusive culture
- A comprehensive health benefits package including dental, vision, and life insurance as well as pension
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