Simisola Adamo

Data Analyst Intern/Co-Op Student

XpathEdge

01.2023 - Current

Manage environmental spaces for the analytics and reporting team using SQL to efficiently manage and organize data storage and access, contributing to a secure and optimized environment for data analysis.
Support the technical team in ensuring VCores and Space availability by employing SQL and cloud computing expertise to assess resource requirements, optimize resource allocation, and maintain system stability for multiple systems and configurations.
Contribute to managing requirements, developing requirements, and coding by applying SQL proficiency to translate business requirements into technical specifications, designing and developing data models, and writing SQL scripts to extract, transform, and load data.
Participate in the deployment of multiple analytic processes by leveraging SQL and cloud computing skills to automate data processing pipelines, schedule data ingestion and analysis tasks, and integrate analytic results into business applications.
Assist in leading assignments and seek opportunities to learn from junior team members in the cloud environment, demonstrating a willingness to learn by assisting junior team members with cloud environment setup, data analysis techniques, and SQL programming practices, fostering their growth and productivity.
Work alongside experienced data analysts to engage with customers by gaining exposure to customer interactions, observing and assisting experienced data analysts in gathering business requirements, translating business objectives into data-driven questions, and establishing clear success metrics.
Contribute to the acquisition and management of client data, reference data, and trend data by utilizing SQL skills to extract, cleanse, and transform data from various sources, ensuring data integrity and consistency for further analysis.
Participate in the development of data visualizations using POWER BI and TABLEAU, gaining experience in creating interactive dashboards for business insights.
Support the conduct of data analysis to distinguish patterns and recognize trends, performing normalization operations and assuring data quality by applying SQL and data analysis techniques to identify patterns, correlations, and anomalies in data, performing data normalization to ensure data consistency, and implementing data quality checks to maintain data integrity.

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