Data Scientist (E-Commerce)

The Opportunity: 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 is a unique blend of

strategic thinking, project management , and

advanced analytics/reporting . You will lead key projects (such as our

Zoho CRM Project ,

Zoho Campaign Project ) and build on and implement new technologies like

Fin AI

while also taking an active role in our company's

AI initiatives . This includes filling a critical spot on the

AI Task Force

to stay up-to-date on the rapidly changing AI landscape and guide our ongoing strategies. This role offers growth potential, the chance to work with a driven and collaborative cross-functional team, and the opportunity to develop your skills in a rapidly evolving field. You'll be at the centre of our efforts to optimize customer experiences, increase sales, and achieve our ambitious growth goals.

Essential Responsibilities: 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 of data and to identify inconsistencies. Make recommendations on appropriate data flows and input controls for key master data (customer and products 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. Customer Insights:

Analyze customer data to understand behavior patterns, segment customers, and provide insights for targeted marketing and personalization strategies. A/B Testing:

Design, execute, and analyze A/B tests to optimize website performance, user experience, and marketing campaigns. Market & Competitor Analysis:

Conduct analysis of market trends and competitor performance to inform strategy and identify opportunities for growth. Data Visualization:

Create dashboards, visualizations, and reports to communicate findings to stakeholders and support data-driven decision-making. Collaboration:

Work closely with the eCommerce, marketing, and product teams to align data insights with business objectives and drive cross-functional projects.

Qualifications & Expertise: 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:

4+ years of experience in data analysis within eCommerce Technical Skills:

Proficiency in data analysis tools and software: Python SQL Advanced Excel Tableau or similar 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. AI Interest:

Demonstrated curiosity and strong interest in emerging AI technologies and their potential applications in data analysis and business strategy. Investigative Mindset:

A proactive and investigative approach to understanding how AI can be leveraged to enhance data initiatives and drive actionable insights. AI Task Force Engagement:

Eagerness to actively participate in and contribute to the company's AI initiatives and the AI Task Force, staying informed about the rapidly changing AI landscape.

Nice to have: Experience with eCommerce platforms (e.g., Shopify, Magento, BigCommerce) Google Analytics experience Certifications:

Relevant certifications in data analytics or digital marketing are advantageous. Programming:

Experience with programming languages such as Python or R for data analysis is a plus.

How to Apply: Please submit your resume and portfolio (via Linkedin or email). You may email your most recent Resume' at