Ilya Aleksandrovich
Forward Deployed Analytics Engineer, People Analytics @MatterMore
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WORK HISTORY
Forward Deployed Analytics Engineer, People Analytics @MatterMore
NY, US
Owned end-to-end analytics design for executive-facing Power BI dashboards, translating high-volume Microsoft 365 collaboration data (Teams, calendars, meetings, activity metadata) into trusted workforce productivity and efficiency metrics, while defining business logic, data quality standards, and metric governance to ensure consistent, decision-ready insights for senior leadership.• Designed AI-ready analytics frameworks leveraging Copilot interaction data, enabling executives to assess how generative AI adoption could reduce low-value collaboration, accelerate execution, and unlock measurable productivity gains • Built prescriptive scenario modeling allowing leaders to simulate 0–100% reductions in low-value meetings, quantifying hours recovered, FTE capacity freed, and potential cost savings to support investment and policy decisions • Co-engineered automated data-warehouse pipelines in BigQuery, implementing sessionization, data quality checks, and transformation logic to ensure accurate, scalable, and repeatable ingestion of operational data • Partnered directly with senior executives and cross-functional stakeholders to interpret insights, pressure-test assumptions, and convert analysis into actionable recommendations driving efficiency-focused organizational change Tools: Power BI, BigQuery (SQL), HTML, VS Code, MIRO, Notion, Linear, Figma, Lovable
EDUCATION
Udacity
Nanodegree Program, Business Analytics Nanodegree
Baruch College
Finance BBA, Business and Finance
ABOUT ILYA ALEKSANDROVICH
Lead Analytics Engineer with 8+ years of experience translating complex workforce, collaboration, and operational data into executive-level decisions. Built end-to-end analytics products (BigQuery → Power BI) used by senior leaders to drive productivity gains, cost optimization, and workforce planning across global organizations. Known for turning ambiguous business problems into scalable, decision-ready metrics
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