Senior Analyst, Business Data

Nightingale College is hiring a Senior Analyst, Business Data to deliver predictive, prescriptive, and diagnostic analyses that inform strategic business decisions. The role owns the analytical lifecycle, establishes trustworthy metrics and data-quality standards, and provides actionable recommendations and analytical guidance across the organization.

Responsibilities:

• Predictive & Prescriptive Modeling: Design, build, and validate statistical and machine learning models to forecast outcomes, identify risk, and generate recommendations. Own the full model lifecycle
• Hypothesis-Driven Analysis: Frame business problems as testable hypotheses. Design and execute analytical frameworks including A/B tests, causal inference, and regression analysis to generate rigorous conclusions
• Analytical Recommendations: Translate findings into insight-driven recommendations for leadership. Recommendations must be tied to measurable business outcomes and supported by documented methodology
• Metric Definition: Assist with KPI and metric definitions across the organization. Partner with business analysts to define metrics that are measurable, meaningful, and methodologically sound. Lead validation, refinement, and standardization over time
• Data Quality & Integrity: Own data quality for all analytical outputs. Implement monitoring frameworks, validation processes, and root-cause resolution. Establish and maintain quality standards
• Governance Compliance: Ensure all analytical outputs adhere to data governance standards. Promote consistency in metric definitions, methodology, and reporting. Serve as governance checkpoint before artifacts reach leadership
• Analytical Advisory: Serve as the go-to source for analytical interpretation. Ensure analyses are rigorous, conclusions defensible, and recommendations actionable. Push back constructively when requests lack needed rigor
• Methodology Documentation: Document analytical methodologies, assumptions, model logic, and limitations to ensure reproducibility, auditability, and knowledge transfer
• Training & Capability Building: Elevate analytical capabilities of business users through training, guidance, and tool adoption support
• Analytical Project Ownership: Lead analytics-focused projects end-to-end: hypothesis and methodology design, implementation, and impact measurement. Scope analytical work, define success criteria, manage timelines and cross-team dependencies

Requirements:

• Bachelor's degree in Statistics, Computer Science, Data Science, Mathematics, or related quantitative field
• 5+ years designing and delivering predictive or prescriptive analytics in cross-functional business environments
• Track record of translating analytical findings into measurable business impact — driving decisions and outcomes, not just reporting
• Experience with statistical experimentation (A/B testing, causal inference) and hypothesis-driven problem-solving
• Advanced SQL proficiency and experience with cloud-based data warehouses (Snowflake, Redshift, BigQuery)
• Proficiency in Python or R for statistical modeling and data manipulation
• Experience with libraries such as scikit-learn, statsmodels, or equivalent
• Familiarity with data transformation tools and practices (e.g., dbt or similar ELT frameworks)
• Proficiency in visualization platforms (Tableau, Power BI) with ability to build analytical dashboards that drive decisions
• advanced degree (MS/PhD) strongly preferred