Rasheedat Ganiyu

I’m an Entry-Level Data Analyst and Data Operations Professional, focused on analyzing datasets, building dashboards, and maintaining high-quality data systems. I help teams move from raw records to actionable insights through clean, validated data.

In my projects, I analyzed multi-channel retail sales data in Excel and Power BI to evaluate performance across territories, store sizes, and channels—generating insights from $47.34M in total revenue. I also built interactive dashboards to track sales performance, channel contribution, and territory-level KPIs, while flagging data quality inconsistencies and recommending validation processes.

Across analytics work, I clean and analyze large datasets, including 48,000+ sales records for operational and revenue trends, and use SQL to query multi-table relational datasets. I’ve developed reusable SQL views for reporting and analysis, including inventory value, stock coverage, and lost-sales risk from low stock levels.

In operations-focused roles, I manage operational datasets and inventory records, perform data cleaning, validation, and quality checks, and generate periodic operational reports and KPI summaries for management. I’m at my best in fast-paced, remote, and cross-functional environments where data accuracy and reporting quality matter.