Data Analyst (Python) for E-commerce Dashboard & Metrics Analysis Project Overview We are seeking an experienced Data Analyst with strong Python skills to help us analyse our e-commerce dataset and design insightful dashboards. The goal is to understand our store performance, customer behaviour, and key business metrics through clean data analysis. Responsibilities - Analyse e-commerce datasets (orders, customers, sales, products) - Process and clean data using Python (Pandas, NumPy) - Identify trends, patterns, and actionable insights - Build dashboards (Power BI, Tableau, or Python dashboards like Plotly/Streamlit) - Track KPIs such as revenue, AOV, conversion rate, repeat purchase rate, churn, etc. - Provide data reports and visual summaries - Suggest improvements based on data findings Requirements - Strong experience with Python for data analysis - Excellent knowledge of Pandas, NumPy, and basic visualization libraries - Previous experience handling e-commerce data (preferred) - Ability to build clean dashboards and present insights clearly - Good communication and analytical thinking - SQL knowledge is a plus Nice to Have - Experience with BI tools (Power BI, Tableau) - A/B testing, forecasting, or basic machine learning knowledge Deliverables - Python scripts for data cleaning and analysis - KPI-based dashboard with interactive or static visuals - Insight summary report with key findings and recommendations Project Type Short-term project with possibility of extension based on performance. To Apply Please include: - Samples of similar work (dashboards, Python notebooks, reports) - Your experience with e-commerce analytics - Portfolio or GitHub links - Expected timeline and pricing We look forward to working with a skilled analyst who can turn raw e-commerce data into actionable insights!