We are seeking a Data Analyst with a strategic mindset and advanced analytical capabilities. This position is vital to gaining deeper market insights, streamlining internal processes, and supporting data driven decision making. Key Responsibilities: 1. Market Trend Analysis in Fashion and Jewelry: Investigate emerging trends within the fashion and jewelry industries using both quantitative data and qualitative research. Conduct comparative sector studies to identify opportunities for innovation and competitive differentiation. Collaborate with design and marketing teams to ensure alignment with market needs and consumer expectations. 2. Internal Data Analysis and Management: Analyze sales and purchasing data to uncover patterns, predict trends, and assess the performance of products or collections. Prepare comprehensive reports that inform strategic decisions across marketing, sales, and operations. Identify opportunities for improvement in inventory management and recommend actions based on data insights. 3. Database Development and Maintenance: Build and refine internal databases to centralize information on sales, inventory, and customers. Ensure the accuracy, quality, and consistency of data records. Implement automated solutions for efficient data collection and analysis. 4. Development of Analytical Tools: Design interactive dashboards and visualizations to provide teams with easy access to key insights. Develop predictive models to forecast demand, enhance caign performance, and optimize inventory management. 5. Cross Departmental Collaboration: Partner with marketing, sales, design, and operations teams to define and track key performance indicators (KPIs). Deliver analyses that inform personalized customer strategies (Customer Journey) and improve the overall shopping experience. Essential Requirements: Bachelor''s or masters degree in Mathematics, Statistics, Economics, Engineering, Data Science, or a related field. A minimum of 2 years of experience in data analysis or related roles, ideally in fashion, retail, or e commerce. Proficiency in tools such as SQL, Python, R, or advanced Excel. Hands on experience with visualization platforms like Tableau, Power BI, or Google Data Studio. Expertise in handling large datasets and translating complex data into actionable insights. Advanced or bilingual proficiency in English and Spanish, both written and spoken. Skills and Competencies: Critical and Analytical Thinking: Ability to identify problems and propose data based solutions. Effective Communication: Capable of translating complex data insights into clear, actionable recommendations for non technical teams. Attention to Detail: Precision and thoroughness in data management and analysis. Results Oriented: Focus on prioritizing tasks to align with strategic goals. Proactivity and Adaptability: Positive attitude towards challenges and an ability to thrive in changing environments. What We Offer: Permanent contract with long term career