Job Description
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 hr@unotechglobal.com
