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eCommerce Data Analyst

4 weeks ago


Bengaluru, Karnataka, India Purviv Labs Full time
We are seeking a detail-oriented and analytical

E-commerce Data Analyst

to join our team. This role will be crucial in optimizing our product portfolio and marketing strategies by analysing sales performance, market trends, and key performance indicators (KPIs) across various online marketplaces. The analyst will work closely with the buying and marketing teams to make data-driven decisions regarding product selection, pricing, and advertising spend.

Key Responsibilities:
Product Performance Analysis & Decision Making
Analyse sales data and trends for multiple product categories, including

Bedding, Blankets, Pillows, Bath Mats, Bath Rugs, Kitchen Flooring, Pet Products, and Hydration Products .
Assess the performance of current products and recommend

buying, reordering, or discontinuing

products based on profitability and demand.
Identify gaps in the product portfolio and recommend new product opportunities based on market trends and customer preferences.
E-commerce Channel Performance Monitoring
Track and analyse key performance indicators (KPIs) for e-commerce platforms such as

Amazon, Wayfair, Overstock, and other sales channels .
Monitor conversion rates, revenue, return rates, and customer reviews to identify areas of improvement.
Collaborate with the supply chain and logistics teams to ensure efficient inventory management and avoid stockouts or overstock situations.
Marketing & Advertising Optimization
Analyse the effectiveness of

digital marketing campaigns

and provide insights on optimizing advertising spend.
Recommend whether to

scale, pause, or adjust

ad campaigns based on performance data.
Work closely with the marketing team to improve

product listings, SEO, and customer engagement .
Report Preparation & Insights
Prepare

weekly, monthly, and quarterly reports

on sales, category performance, and product trends.
Provide actionable insights and recommendations to leadership on business performance.
Utilize data visualization tools to present findings in a clear and actionable manner.

Qualifications & Skills:
Bachelor's degree

in Business Analytics, Data Science, Marketing, E-commerce, or a related field.
5+ years of experience

in e-commerce data analysis, preferably in the

home décor or consumer goods industry .
Strong experience with

data analysis tools

(Excel, SQL, Google Analytics, Tableau, Power BI, etc.).
Hands-on experience with

Amazon Seller Central, Wayfair Partner Portal, and Overstock Vendor Dashboard

is a plus.
Understanding of

digital marketing strategies , including PPC campaigns and SEO optimization.
Strong analytical mindset with the ability to translate data into actionable insights.
Excellent communication and presentation skills.
Ability to work independently and collaborate cross-functionally.