Risk Analytics & Visualization Specialist; Power BI​/Predictive Models

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

Work Location:

50% onsite in Tampa or Lawrenceville
Duration: 8 Months

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   analytics products and the broader data management approach. 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.

Roles & Responsibilities data analytics, coding, IT coordination
" 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   analytics.
" Document system architecture, data sources, metric definitions, and calculation logic to ensure consistency and repeatable use.

Requirements
" 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.