Christopher

Business Insights Analyst

TaskUs • Período integral

Feb 2026 - Present • 9 mos

Operating as a Business Intelligence Consultant and Project Lead across the reporting lifecycle, partnering with Data Engineering and business stakeholders to deliver scalable reporting solutions while improving data quality, performance, and governance. Responsibilities: - Partner with Data Engineering and business stakeholders to define reporting requirements, data access, and business logic. - Design, develop, and maintain Power BI dashboards, semantic models, and reporting solutions. - Build scalable analytics using Amazon Redshift, SQL, Power Query, DAX, and Power BI. - Optimize data models, reporting logic, and dashboard performance. - Develop ad hoc reports, trend analyses, and actionable insights for Operations and client stakeholders. - Support production dashboards, enhancements, and continuous reporting improvements. Key Achievements: - Modernized a legacy Power BI solution by eliminating redundant transformations, calculations, and model artifacts across SQL, Power Query, and DAX. - Consolidated fragmented legacy and current datasets into a unified star schema spanning Chat, Email, Voice, Sales & Orders, and Survey operations. - Relocated data cleansing, deduplication, lookup logic, and transformations upstream into Amazon Redshift, significantly reducing processing within Power BI while preserving business logic. - Resolved dimension-to-fact key mismatches, ambiguous transformations, and data quality issues, improving reporting accuracy and consistency. - Reduced refresh time from 40–60 minutes to 4–7 minutes while expanding historical coverage from 18 months to 3+ years. - Reduced the PBIX model footprint from approximately 500–600 MB to ~250 MB despite more than doubling historical data by removing redundant datasets, columns, measures, and legacy logic.

Analytics Engineer

Greenkey • Freelance

Aug 2025 - Mar 2026 • 7 mos

Designed and built an end-to-end analytics platform from scratch, integrating multiple operational systems into a centralized data warehouse, forecasting layer, and automated reporting environment. Responsibilities: - Architected and built the BigQuery data warehouse from the ground up - Developed Python ELT pipelines for API and file-based data ingestion - Built the data transformation layer and analytics-ready datasets in BigQuery - Developed BigQuery ML forecasting models for checkout volume and operational demand planning - Built the Looker Studio reporting layer, including dashboards and automated reporting workflows - Developed, maintained, and expanded the underlying Python codebase, data pipelines, transformations, forecasting models, and reporting solutions Key Achievements: - Built a centralized analytics platform from scratch, replacing fragmented reporting workflows - Improved housekeeping planning efficiency by 20% - Established automated forecasting capabilities for checkout volume planning - Automated the analytics workflow from source-system extraction through data warehousing, transformation, forecasting, and reporting

Senior Operations Analyst

Connext • Período integral

Oct 2024 - Feb 2026 • 1 yr 4 mos

Led operational performance improvement initiatives by combining process optimization, analytics system development, and reporting automation. Responsibilities: - Lead process improvement initiatives to enhance team performance - Design and maintain Power BI dashboards and KPI frameworks - Develop and optimize data pipelines and reporting workflows - Deliver insights to support decision-making - Support reporting standardization across teams Key Achievements: - Reduced reporting cycle time from ~4 hours to <15 minutes - Unified 7 dashboards into one analytics environment - Enabled reporting scalability across 1,500+ employees