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I am an innovative Enterprise Data Analyst with over 8 years of experience working with both cloud and on-premise technologies, including Power BI, Advanced Excel, Databricks, SQL, Python, R, and various Microsoft Azure services. I have successfully leveraged these tools to deliver impactful business data management solutions for large enterprises. A proactive, adaptable team player, I excel at handling and manipulating large datasets and turning complex metrics into clear business outcomes. I am a Microsoft Certified Power BI Data Analyst Associate and a Microsoft Certified Data Engineer Associate, underscoring my commitment to continuous learning and delivering high-quality, data-driven solutions that support business success. I thrive in collaborative environments, consistently upskilling through trainings and certifications, and I am driven by delivering value and scalable analytics that empower stakeholders to make informed decisions.…I am an innovative Enterprise Data Analyst with over 8 years of experience working with both cloud and on-premise technologies, including Power BI, Advanced Excel, Databricks, SQL, Python, R, and various Microsoft Azure services. I have successfully leveraged these tools to deliver impactful business data management solutions for large enterprises. A proactive, adaptable team player, I excel at handling and manipulating large datasets and turning complex metrics into clear business outcomes. I am a Microsoft Certified Power BI Data Analyst Associate and a Microsoft Certified Data Engineer Associate, underscoring my commitment to continuous learning and delivering high-quality, data-driven solutions that support business success. I thrive in collaborative environments, consistently upskilling through trainings and certifications, and I am driven by delivering value and scalable analytics that empower stakeholders to make informed decisions.

Sonita Ifeoma Ezidiegwu

Data Scientist, Data Analyst, AI Engineer, +3

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I am an innovative Enterprise Data Analyst with over 8 years of experience working with both cloud and on-premise technologies, including Power BI, Advanced Excel, Databricks, SQL, Python, R, and various Microsoft Azure services. I have successfully leveraged these tools to deliver impactful business data management solutions for large enterprises. A proactive, adaptable team player, I excel at handling and manipulating large datasets and turning complex metrics into clear business outcomes. I am a Microsoft Certified Power BI Data Analyst Associate and a Microsoft Certified Data Engineer Associate, underscoring my commitment to continuous learning and delivering high-quality, data-driven solutions that support business success. I thrive in collaborative environments, consistently upskilling through trainings and certifications, and I am driven by delivering value and scalable analytics that empower stakeholders to make informed decisions.…I am an innovative Enterprise Data Analyst with over 8 years of experience working with both cloud and on-premise technologies, including Power BI, Advanced Excel, Databricks, SQL, Python, R, and various Microsoft Azure services. I have successfully leveraged these tools to deliver impactful business data management solutions for large enterprises. A proactive, adaptable team player, I excel at handling and manipulating large datasets and turning complex metrics into clear business outcomes. I am a Microsoft Certified Power BI Data Analyst Associate and a Microsoft Certified Data Engineer Associate, underscoring my commitment to continuous learning and delivering high-quality, data-driven solutions that support business success. I thrive in collaborative environments, consistently upskilling through trainings and certifications, and I am driven by delivering value and scalable analytics that empower stakeholders to make informed decisions.

Available to hire

I am an innovative Enterprise Data Analyst with over 8 years of experience working with both cloud and on-premise technologies, including Power BI, Advanced Excel, Databricks, SQL, Python, R, and various Microsoft Azure services. I have successfully leveraged these tools to deliver impactful business data management solutions for large enterprises. A proactive, adaptable team player, I excel at handling and manipulating large datasets and turning complex metrics into clear business outcomes. I am a Microsoft Certified Power BI Data Analyst Associate and a Microsoft Certified Data Engineer Associate, underscoring my commitment to continuous learning and delivering high-quality, data-driven solutions that support business success.

I thrive in collaborative environments, consistently upskilling through trainings and certifications, and I am driven by delivering value and scalable analytics that empower stakeholders to make informed decisions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Senior Data Analyst at Mezed Financial, Canada

June 1, 2025 - Present

Led a gap analysis of the current data platform and defined an efficient data strategy/roadmap. Built an on-premise data warehouse using SQL Server (SSIS/SSAS), created ETL pipelines with Azure Data Factory, Data Lake, and Azure SQL databases, and collaborated on data governance to classify non-sensitive data for external stakeholders. Developed Power BI dashboards, KPI scorecards, and paginated reports; optimized SSIS and Azure pipelines; authored comprehensive documentation and established data governance and change-management practices.

Senior Business Data and Analytics Consultant at Lifelabs, Canada

August 1, 2024 - June 30, 2025

Led end-to-end analytics engagements including data extraction via Azure services and SQL/Python, data cleaning and transformation, and the development of Power BI reports, scorecards, and dashboards. Designed tabular data models using star schema and advanced DAX; maintained Premium Dataflows and data governance standards; authored SQL scripts for data extraction and preparation. Provided technical leadership in design meetings, conducted enterprise-wide Power BI workshops, and built predictive models to forecast terminations and turnover; automated cross-platform data integration and ETL pipelines to improve data quality and decision-making.

Data Consultant at Transparity Solutions Limited, United Kingdom

July 1, 2021 - September 30, 2022

Partnered with customers to gather requirements, design data models, and implement modern data warehouses. Ingested data from on-premise and cloud sources (APIs) using Power BI, SQL, and Python; created interactive dashboards and paginated reports; built data flows and automated ETL pipelines with Azure Data Factory, Synapse, Logic Apps, and Stream Analytics. Produced comprehensive documentation and user guides, and provided training to ensure sustainable adoption of analytics solutions.

Azure Developer at Mid and South Essex NHS Foundation Trust, United Kingdom

October 1, 2022 - August 31, 2024

Captured business requirements with stakeholders and designed data solutions. Created ETL pipelines using Azure Data Factory, Data Lake, and Azure SQL (Managed Instances). Ingested data from multiple sources including APIs via Logic Apps, Event Hubs, and Azure Stream Analytics; created linked servers and scheduled jobs. Developed Power BI reports using advanced DAX and Power Query, deployed Azure SSIS packages, and maintained version control with Azure DevOps. Authored user guides and trained end users; ensured governance and efficient change management of the data estate.

Data Scientist and ERP Consultant at Snapnet Nigeria

January 1, 2017 - January 31, 2020

Implemented predictive analytics and machine learning solutions for clients. Collected and cleaned data, built advanced ML models (regression, clustering, neural networks), and deployed models for production. Performed data extraction with Python/R, and leveraged PySpark on Azure Databricks for data engineering, storing results in a data warehouse. Created visualizations in Python and Power BI to reveal patterns and relationships, and communicated findings to stakeholders to support data-driven decision-making.