Job Description

About Capes India:

Capes India is a fast-growing Direct-to-Consumer (D2C) e-commerce brand specializing in premium tech accessories like phone skins, camera skins, laptop skins, MagLock wallets, and car mounts. Our mission is to deliver high-quality products while providing an exceptional customer experience driven by data and innovation.

We're looking for a

motivated Data Analyst

to join our team, helping us make data-driven decisions that optimize our marketing strategies, enhance user experiences, and drive revenue growth.

Role Overview:

As a

Data Analyst

, you will work closely with marketing, product, and engineering teams to collect, clean, and analyze data. Your insights will support strategic business decisions, improve website performance, and contribute to overall growth.

Key Responsibilities:

Data Collection & Cleaning:

Gather data from multiple sources, including website analytics tools, CRM systems, and marketing platforms. Ensure data accuracy, consistency, and reliability through thorough cleaning and validation.

Reporting & Dashboard Development:

Create regular performance reports and interactive dashboards to track key metrics. Monitor key performance indicators (KPIs) related to website traffic, user behavior, and sales performance.

Trend Analysis & Insights:

Analyze website metrics to identify trends, opportunities, and areas for improvement. Present actionable insights to cross-functional teams to support decision-making.

Experimentation & A/B Testing:

Support the design, execution, and analysis of A/B tests aimed at improving user engagement and conversion rates. Provide data-backed recommendations based on test outcomes.

Collaboration & Communication:

Work closely with marketing, product, and engineering teams to understand business questions and data requirements. Translate complex data into clear, concise insights for non-technical stakeholders.

Metrics & Data Points Analysis:

Traffic Metrics:

Analyze page views, sessions, unique visitors, and traffic sources (organic, paid, referral, social) to assess website performance.

Engagement Metrics:

Evaluate bounce rates, session duration, pages per session, and user flow to understand customer interactions.

Conversion Metrics:

Monitor conversion rates, checkout funnel performance, cart abandonment rates, and user journey optimization to improve sales.

Revenue Metrics:

Assess average order value (AOV), customer acquisition cost (CAC), and customer lifetime value (CLV) to measure profitability.

Behavioral & Performance Metrics:

Track click-through rates (CTR) on CTAs, heatmaps, scroll tracking, page load times, and SEO performance to enhance user experience and visibility.

Who Can Apply:

Graduation in

Data Science

,

Statistics

,

Economics

,

Computer Science

, or related fields. Proficiency in data analysis tools like

Excel

,

SQL

,

Python

, or

R

. Experience with data visualization tools such as

Tableau

or

Power BI

is a plus. Strong analytical and problem-solving skills with attention to detail. Excellent written and verbal communication skills. Ability to work both independently and collaboratively in a fast-paced environment.

What We Offer:

Hands-on experience with real-world data and projects that influence business decisions. Mentorship from experienced data professionals. Exposure to advanced data analysis techniques and tools. A collaborative, inclusive, and innovative work environment. Opportunity to develop skills in data analysis, visualization, and strategic planning.

Competitive Pay

based on performance and skills.
Job Types: Full-time, Permanent

Pay: ?18,000.00 - ?25,000.00 per month

Benefits:

Health insurance Paid sick time Paid time off Provident Fund
Application Question(s):

Are you proficient with data visualization tools such as Tableau or Power BI? This is a full-time in-office role at Goregaon East, near Oberoi Mall. Are you comfortable travelling to the location for the internship? Do you have any prior experience working with e-commerce business data sets? We are willing to offer anywhere between 18,000 to 25,000 for the role based on experience and skills. Are you comfortable with the pay mentioned?
Work Location: In person