Risk Analytics & Visualization Specialist (Power BI / Predictive Models)

Position Title: Risk Analytics & Visualization Specialist (Power BI / Predictive Models)

Work Location: 50% onsite in Tampa or Lawrenceville

Assignment Duration: 8 Months

Work Arrangement: Hybrid - Part time opportunity at 24 hours a week

Position Summary:

The Enterprise Business Resilience program supports company preparedness for and response to crises, including Business Continuity Management (BCM), Exercise Readiness, and the Crisis Response.

This part-time contractor will support the Business Resilience (BR) lead by maintaining and improving BR analytics products and the broader data management approach.

Background & Context:

The role focuses on building and enhancing key solutions-including the Predictive Risk Dashboard and Crisis Fact Sheets-using Power BI and Python (Domino), in partnership with IT and enterprise stakeholders.

Key Responsibilities:

* Maintain, enhance, and automate Power BI dashboards; coordinate with IT on data connections, refreshes, and issue resolution.

* Build and enhance analytics and visuals for:

o Predictive Risk Dashboard: including risk, metrics, trend and forecasting views.

o Crisis Fact Sheets: interactive visuals to quickly understand operational impact during a crisis.

* Maintain and enhance Python code in the Domino environment, including data preparation, analytics workflows, and predictive modeling support.

* Partner with stakeholders to define, update, and validate metrics, logic, and requirements in Power BI and SharePoint.

* Maintain and enhance SharePoint pages and content that support enterprise access to BR analytics.

* Document system architecture, data sources, metric definitions, and calculation logic to ensure consistency and repeatable use.

Qualification & Experience:

* Bachelor's degree required; preference for Computer Science, Engineering, or a field requiring programming.

* Advanced programming experience in Python, including work in a Domino environment.

* Advanced experience with data visualization tools, including Power BI.

* Strong hands-on experience with both AI/ML and GenAI, including:

o AI/ML (traditional): built, validated, and maintained predictive models using operational datasets (e.g., time-series forecasting, regression, classification). Includes feature engineering, train/test evaluation, performance monitoring, and clear explanation of key drivers and limitations to stakeholders.

o Model-ready data design: created model-ready datasets from multiple sources (data cleaning, joins, entity resolution as needed, handling missing data/outliers, bias/leakage checks, and reproducible Python pipelines).

o GenAI (LLMs): used GenAI tools in day-to-day analytics work to improve speed and quality (e.g., generating/refactoring SQL, Python, and DAX; supporting metric/semantic modeling; drafting documentation), with strong validation practices (testing, peer review, and version control) to ensure accuracy and compliance.

* Experience working with risk concepts, including risk metrics and risk calculations. Knowledge of Business Continuity Management, Enterprise Risk Management, Operational Risk Resilience, or Crisis Response frameworks a plus.

* Strong written and verbal communication skills; strong computer skills (Excel, Access, Word, SharePoint, programming).

* Strong collaboration skills with global teams and IT partners.

* Strong accountability and organizational skills.