Data Scientist (E-Commerce)

Unotech Global

India

On-site

INR 700,000 - 900,000

Part time

14 days+

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Benefits offered by this job

Remote work flexibility

Competitive salary and performance incentives

Job summary

A leading technology company is seeking a Data Analyst (E-Commerce) to provide actionable insights and support business objectives. The role involves data analysis, performance monitoring, and collaboration with teams to enhance customer experiences and drive sales. Requirements include 2+ years of data analysis experience in eCommerce and proficiency in SQL and Advanced Excel. This is a remote contract position with a competitive salary and growth potential.

Qualifications

2+ years of experience in data analysis within eCommerce.
Strong understanding of data sources and structures.
Ability to effectively present data insights.

Responsibilities

Collect and analyze data to generate actionable insights.
Monitor key performance indicators for eCommerce.
Design and analyze A/B tests for website performance.
Create dashboards and reports for data-driven decision-making.
Analyze customer data for targeted marketing strategies.

Skills

Data analysis

SQL

Advanced Excel

Analytical thinking

Communication skills

Attention to detail

Education

Bachelor's degree in Data Science or related field

Tools

eCommerce platforms (e.g., Magento, Shopify)

Python

Job description

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Unotech Global is dedicated to solving real-world problems through innovative AI-driven solutions. Our company specializes in Artificial Intelligence applications across various fields, including IoT, E-Commerce, Digital Media, Business Intelligence, Marketing & Advertising, and Customer Service. We serve clients ranging from businesses to governments worldwide.

Job Title: Data Analyst (E-Commerce)

Location: [Remote]

Type: Contract

Experience: 4-6 years

Overview

As an eCommerce Data Analyst, you\'ll have the opportunity to make a significant impact by providing actionable insights that drive business decisions. You are passionate about data, have mastered using it to take an advisory approach, and thrive in a business where the data you share helps support business objectives. You hold a strong understanding of data sources, their structures, how the data flows, and where improvements could be made. You\'ll work in a dynamic environment where your contributions directly influence the success of our eCommerce business. This role offers growth potential, the chance to work with a driven and collaborative team, and the opportunity to develop your skills in a rapidly evolving field. You\'ll be at the center of our efforts to optimize customer experiences, increase sales, and achieve our ambitious growth goals.

Key Responsibilities

Data Analysis & Reporting: Collect, analyze, and interpret data from various sources (e.g., web analytics, sales data, customer behavior) to generate actionable insights and recommendations.
Performance Monitoring: Monitor key performance indicators (KPIs) for eCommerce activities, including conversion rates, customer acquisition costs, average order value, and more.
A/B Testing: Design, execute, and analyze A/B tests to optimize website performance, user experience, and marketing campaigns.
Data Visualization: Create dashboards, visualizations, and reports to communicate findings to stakeholders and support data-driven decision-making.
Customer Insights: Analyze customer data to understand behavior patterns, segment customers, and provide insights for targeted marketing and personalization strategies.
Market & Competitor Analysis: Conduct analysis of market trends and competitor performance to inform strategy and identify opportunities for growth.
Collaboration: Work closely with the eCommerce, marketing, and product teams to align data insights with business objectives and drive cross-functional projects.
Data Integrity: Ensure the accuracy, consistency, and security of data across all eCommerce systems. Document the flow of transactional and master data between systems to ensure a single source of truth and to identify inconsistencies. Make recommendations on appropriate data flows and input controls for key master data (customer and products data).

Required Skills & Qualifications

Educational Background: Bachelor\’s degree in Data Science, Statistics, Business Analytics, Marketing, Computer Science, or a related field is preferred, but if you have mastered data without the degree and you meet the remaining requirements, apply.
Experience: 2+ years of experience in data analysis within eCommerce (4-6 years of overall experience)
Technical Skills: Proficiency in data analysis tools and software: SQL, Advanced Excel
Data Architecture: Understanding of data design, database schemas, data flows/ETL, and storage best practices.
Analytical Thinking: Strong analytical and problem-solving skills, with the ability to translate complex data into clear insights and actionable strategies.
Attention to Detail: High level of accuracy and attention to detail in managing and analyzing data.
Communication Skills: Excellent written and verbal communication skills, with the ability to present data insights to both technical and non-technical stakeholders.
Collaboration: Ability to work effectively in a team environment, collaborating with various departments to achieve shared goals.
Adaptability: Ability to thrive in a fast-paced, dynamic environment, with a strong desire to continuously learn and improve.