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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.\nThe 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.\n Portfolio Performance & Analytics: Monitor and analyze technology portfolio performance across investments, budgets, resource allocation, forecasts, delivery schedules, and operational health to identify trends, risks, variances, and opportunities for improvement.\nData Analysis & Integration: Gather, consolidate, and analyze large, disparate technology and financial datasets, leveraging Python, 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across multiple data sources.\nCross-Functional Collaboration: Work closely with Technology, Product, Finance, and business stakeholders to understand reporting needs, validate findings, align portfolio metrics, and translate business requirements into actionable insights and technical solutions.\nContinuous Improvement & Innovation: Proactively identify opportunities to streamline reporting, enhance Platform Health transparency, improve portfolio governance, and develop scalable data solutions that support strategic technology investment decisions.\n 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.\nProficiency in Power BI, Microsoft Fabric, DAX, Power Query, Excel, and PowerPoint, with experience developing executive dashboards, automated reports, and portfolio performance visualizations.\nExperience working with technology 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