Chibueze Ejinkeonye 903-***-**** ***************@*****.*** Katy, TX
Professional Summary
Highly skilled Data Analyst and Data Engineer with over 9 years of experience in Power BI architecture, development, and dashboard migration. Expert in developing Tableau workbooks and Power BI reports using data blending techniques. Proficient in designing, developing, testing, and deploying ELT/ETL pipelines with Azure Data Factory, Snowflake, and Clarity databases. Experienced in managing Git Repos, task tracking, and version control with Azure DevOps. Adept at creating and modifying visualizations in Power BI to meet client requests and designing ETL processes in AWS Glue for data migration to Azure Synapse. Skilled in writing SQL queries and stored procedures for data integration. Strong background in requirement gathering, documentation, and translating client needs into effective dashboard solutions. Known for developing insightful, visually appealing dashboards that enhance data communication.
Technical Skills
BI Tools: Power BI, Tableau, Looker, Excel
Survey and Experience Management: Qualtrics
ETL/ELT Tools: Azure Data Factory, AWS Glue
Data Warehousing: Azure Synapse, Snowflake
Database Management: Oracle, SQL, Clarity Databases
Programming Languages: SQL, DAX, Python, R, SAS
Revenue Cycle & Healthcare: Billing accuracy, cash collections, bad debt reduction, compliance
Data Integration: Azure Blob Storage, Azure Data Lake, ORC, Parquet, Text Files
Version Control: Azure DevOps
Data Visualization: Power BI Reports, Dashboards, Data Blending, Looker, Excel
Data Modeling: Power Pivot Models, DAX, Excel
Stored Procedures: SQL, Clarity Database
Project Management: Requirement Gathering, Documentation, Solution Translation
Agile Framework: Scrum, Kanban, SAFe
Professional Experience
EnGen Pittsburgh, PA
Data and Quality Insight Analyst
October 2022 - Present
Led the implementation of data quality initiatives, including establishing data validation protocols and continuous improvement processes, which improved data integrity by 30%.
Established continuous monitoring processes to ensure ongoing data quality and accuracy in reports, leading to a 15% reduction in reporting errors.
Analyzed and improved data quality by identifying inconsistencies and implementing validation processes, resulting in more accurate and reliable financial reporting.
Applied advanced BI methods in Power BI and Tableau to identify revenue cycle inefficiencies, enabling healthcare providers to reduce bad debt and accelerate cash collections.
Translated ambiguous financial inquiries into data-backed strategies, collaborating with cross-functional teams to optimize billing accuracy and improve payer reimbursement timelines.
Leveraged over 3 years of Business Intelligence experience to analyze large datasets and extract meaningful financial insights for healthcare providers and vendors.
Applied analytical techniques, including segmentation and data mining, to automate data quality control measures using SQL Update statements.
Developed comprehensive financial reports and dashboards using Tableau, enabling healthcare providers to make informed decisions regarding patient’s financial well-being.
Prepared and amended third-party cost reports for PA Medicare and Medicaid, WV and DE new line of business.
Analyzed and reported on HEDIS measures to ensure compliance with healthcare quality standards, providing actionable insights that helped improve patient care and performance outcomes for healthcare providers.
Coordinated and managed audit processes to ensure compliance and accuracy.
Planned, implemented, and summarized complex analyses and reporting projects.
Pulled data from Salesforce to develop reports and identified discrepancies in information uploaded on the forms.
Designed and implemented complex surveys using Qualtrics, ensuring data accuracy and reliability.
Utilized Qualtrics' advanced features, such as branching logic and embedded data, to create tailored survey experiences.
Leveraged Qualtrics API to automate data extraction and integration with internal databases.
Created an automated system that identifies discrepancies and alerts appropriate direct reports for correction.
Developed Tableau visualizations to track project progress, increasing efficiency by 25%.
Utilized Tableau to design and implement billing dashboards, providing real-time visibility into financial performance metrics and facilitating data-driven decision-making.
Eaton Houston, TX
BI Developer/Data Analyst
December 2019 - September 2022
Spearheaded data quality initiatives, including the development of automated data cleansing processes and the establishment of data quality metrics, ensuring consistent and reliable data for decision-making.
Implemented automated monitoring systems for data quality, enabling real-time detection and correction of data anomalies in business intelligence reports.
Integrated Snowflake into the data architecture, optimizing data warehousing and enabling more efficient querying and data retrieval processes across the organization.
Analyzed thorough data quality assessments to identify and resolve data integrity issues, ensuring the accuracy of business intelligence outputs and reports.
Created data models, visualizations, charts, tables, and other report objects for use by non-technical users in self-service reporting tools.
Provided detailed analysis, design, tuning, testing, implementation, and documentation of business intelligence systems and data warehouses.
Designed, developed, tested, and deployed ELT/ETL pipelines using Azure Data Factory.
Replicated and developed VW data models into Power BI and Tableau.
Wrote and edited SQL queries to read, manipulate, and analyze data from business intelligence, relational databases, and data warehouses.
Conducted requirement analysis, design, and development of modules using Power BI.
Scheduled automatic refresh and scheduling in Power BI Service.
Developed data governance, documentation, and pipeline management guidelines for the team.
Created automated reports to track key performance metrics for SEM campaigns, enabling data-driven decision-making for marketing teams.
Collaborated with marketing teams to develop strategies based on data analysis, leading to a 20% increase in campaign efficiency.
Created automated measures of success (OKRs & KPIs) for data-driven decision-making.
Mentored team members to improve Power BI, scripting, and documentation proficiencies.
Western Digital San Jose, CA
BI Developer (Tableau & Power BI)
April 2015 - November 2019
Developed continuous monitoring protocols for data quality within BI dashboards, ensuring that stakeholders had access to accurate and up-to-date information at all times.
Created stored procedures and SQL queries to pull data into Power Pivot models, improving reporting efficiency by at least 30%.
Led the migration of over 50 reports from the internal legacy analytics infrastructure to the Tableau environment, reducing costs by over 30%.
Developed automation pipelines for real-time and near-real-time analytics solutions.
Applied statistical software packages, such as Python, R, and SAS, to conduct investigations, evaluate root causes, and present recommendations for resolving complex issues.
Designed and implemented dashboards in Tableau and Power BI to visualize key performance indicators, enhancing decision-making capabilities for stakeholders.
Conducted extensive data analysis to identify trends, patterns, and anomalies, providing actionable insights to business leaders.
Collaborated with cross-functional teams to gather and define business requirements, ensuring the development of accurate and relevant BI solutions.
Optimized existing BI processes and workflows, resulting in a 20% increase in efficiency and data accuracy.
Trained and mentored junior analysts on BI tools and best practices, fostering a culture of continuous learning and improvement.
Developed and maintained detailed documentation of BI processes, ensuring knowledge transfer and consistency in reporting standards.
Education
American InterContinental University
Master of Business Administration & Management