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Click here or scroll down to respond to this candidateCandidate's Name
SENIOR DATA ANALYSTWith a robust background spanning over 6 years in data analysis, primarily within the healthcare and finance sectors, I specialize in harnessing data to steer critical business decisions. Proficient in the intricacies of data mining, modeling, and visualization, I wield tools such as SQL, Python, and Tableau to dissect complex datasets and extract actionable insights.My expertise extends beyond mere analysis; I excel in orchestrating ETL processes, leveraging cloud technologies like AWS and Azure to architect scalable solutions. Collaborating seamlessly with cross-functional teams, I utilize tools like Jira to streamline project management and ensure alignment between technical solutions and business objectives.My strength lies in bridging the gap between intricate business requirements and robust technical implementations, fostering a culture where data serves as the cornerstone of decision-making. Proficiency in Google Sheets and the MS Office suite adds versatility to my toolkit, enabling effective communication and dissemination of insights across stakeholders.Driven by a passion for data-driven innovation, I am poised to tackle complex challenges and drive transformative change through strategic data analysis and implementation. PROFILEPHONE NUMBER AVAILABLEEMAIL AVAILABLEChicago, IllinoisSKILLSData Analysis: SQL, Python, RData Visualization: Tableau, Power BIDatabase Management: MySQL, PostgreSQL, MongoDB, Azure SQL Data, Oracle Tools: Excel, Google Analytics, Jupyter Notebook, Git, SAP, Jira, Google Sheets, MS Office Data Warehousing and ETL: Informatica PowerCenter, SSIS, Apache NiFi, BigQuery Cloud Technologies: AWS, Azure DevOpsProgramming and Scripting: Python, R, C#Data Modeling: ERwin Data Modeler, Power DesignerWORK EXPERIENCEInfoTrust MAY 2022- PRESENTSenior Data AnalystGathered and analyzed complicated business requirements in conjunction with cross-functional teams in the healthcare and financial industries, leading to a 20% boost in operational efficiency. 30% better data integration was achieved by designing and implementing effective ETL operations with Informatica PowerCenter and BigQuery.ERwin Data Modeler and Power Designer were used to create and manage dimensional data models, which improved storage efficiency and cut query times by 25%.Data accuracy and integrity were ensured through the use of SQL and Python scripting for data extraction, transformation, and cleansing.Built extensive data marts and warehouses to facilitate effective data processing, retrieval, and storing in Azure SQL Data. used Tableau and Power BI to implement sophisticated data visualization techniques, producing informative dashboards and reports for stakeholders in the financial and healthcare industries. In Azure SQL Data, SQL queries and database speed have been optimized to ensure effective data retrieval and analysis for time-sensitive tasks.Using Jira, I took part in user acceptance testing (UAT), recording test cases and making sure testing guidelines were followed. Worked together to integrate data pipelines and optimize data workflows with data engineers and developers.conducted end- user training sessions and gave advice on reporting and data analysis tools. Put into effect data governance procedures, such as metadata management, data dictionaries, and lineage tracking. Agile techniques and project management concepts were applied to guarantee the prompt delivery of excellent work. Process enhancements were found and put into place to increase the productivity and efficiency of data analysis.kept abreast of the most recent methods, instruments, and business trends in data analysis by engaging in ongoing education and professional growth.Inviso Corporation AUG 2018 - MAY 2022Data AnalystCarried out thorough data mining and analysis to assist with strategic decision-making in the financial and healthcare sectors.Developed and refined ETL procedures with Apache NiFi, BigQuery, and SSIS to guarantee effective integration of data from various sources.Used ERwin Data Modeler and Power Designer to design and execute data models while embracing data governance guidelines and industry best practices.Used R and Python for forecasting, predictive modeling, and sophisticated statistical analysis, giving stakeholders insightful information.Skilled in optimizing SQL queries within Oracle databases to enhance performance and streamline data processing, contributing to improved efficiency and faster query execution times. Oversaw the installation of an AWS and Azure cloud-based data lake solution, allowing for scalable and affordable data analysis and storage.In Azure SQL Data, SQL queries and database speed have been optimized to provide effective data retrieval and analysis for time-sensitive tasks.Oversaw Jira-based user acceptability testing projects, liaising with cross-functional teams and making sure testing guidelines were followed.Conducted end-user training sessions and gave advice on reporting and data analysis tools. Put into effect data governance procedures, such as metadata management, data dictionaries, and lineage tracking. Agile techniques and project management concepts were applied to guarantee the prompt delivery of excellent work. Process enhancements were found and put into place to increase the productivity and efficiency of data analysis. Kept abreast of the most recent methods, instruments, and business trends in data analysis by engaging in ongoing education and professional growth.EDUCATIONEAST-WEST UNIVERSITYBachelors of Computer Science |
