Data analyst

Company Description 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 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. 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. 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 of data and to identify inconsistencies. Make recommendations on appropriate data flows and input controls for key master data (customer and products data) 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 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. Excellent written and verbal communication skills, with the ability to present data insights to both technical and non-technical stakeholders. Experience with eCommerce platforms (e.g., 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. Remote work flexibility and a strong data-driven culture Competitive salary and performance incentives Please submit your resume and portfolio (via Linkedin or email).