About this role
Seeking an experienced, data-driven professional to support the Platform Health Program by analyzing complex technology investment and portfolio datasets, developing scalable data and reporting solutions, and delivering actionable insights that improve portfolio transparency, operational efficiency, and strategic decision-making.
The ideal candidate is based in New York and brings a combination of data analytics, engineering, business intelligence, and technology portfolio management experience, with the ability to collaborate closely with Technology, Product, Finance, and Portfolio Management teams.
- Strong experience in data analytics, data engineering, or technology portfolio analytics, with hands-on proficiency in Python, SQL, JSON, data modeling, ETL/ELT, REST APIs, and large-scale data analysis.
- Proficiency in Power BI, Microsoft Fabric, DAX, Power Query, Excel, and PowerPoint , with experience developing executive dashboards, automated reports, and portfolio performance visualizations.
- Experience working with technology investment, financial, or portfolio management datasets, including platforms such as IBM Apptio or equivalent solutions.
- Understanding of technology portfolio management, investment planning, budget tracking, financial forecasting, resource capacity, and project delivery performance.
- Experience applying AI/ML, LLM-enabled analytics, predictive modeling, and workflow automation to improve data insights, reporting accuracy, and operational efficiency.
- Knowledge of data integration, database management, data quality validation, reporting automation, and data governance best practices.
- Familiarity with Microsoft Power Platform, including Power Apps and Power Automate, as well as cloud-based data and analytics environments.
- Strong analytical, problem-solving, communication, and stakeholder management skills, with the ability to translate complex data into clear, actionable recommendations for leadership.
- Bachelor's degree in Computer Science, Engineering, Data Analytics, Business Analytics, or equivalent professional experience; advanced degree preferred.