Data Scientist

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