.Job Title: Business Intelligence Analyst Location: Remote (MST Time zone) Salary Range: up to 3200 USD Work Schedule: Monday - Friday, 9:00 AM to 5:00 PM (MST) NOTE: INDEPENDENT CONTRACTOR POSITION Company Overview: Sagan is an exclusive membership community for top executives, founders, and CEOs seeking to hire and maximize the impact of international talent. We bridge the gap between global talent and US-based businesses, connecting candidates from vibrant regions like Latin America, the Philippines, India, Pakistan, Bangladesh, and Africa with leading American companies. Discover a world of career possibilities with Sagan. Position Overview: The Business Intelligence Analyst will transform raw data into actionable insights, supporting strategic business decisions across retail operations. Initial projects include dashboarding E-commerce trends, analyzing customer behavior, site traffic, and shipping costs to understand profitability by product line. Responsibilities: Data Analysis and Interpretation: Analyze data to identify trends, patterns, and correlations, translating findings into actionable insights. Reporting and Visualization: Develop and maintain dashboards and reports to communicate KPIs to stakeholders. Forecasting and Predictive Modeling: Create forecasting models for inventory management, sales projections, and strategic planning. Cross-Functional Collaboration: Proactively reach out to Marketing, Finance, and Operations to support business objectives with data-driven recommendations. Data Quality Assurance: Ensure data accuracy and address inconsistencies and anomalies. Autonomous Operation: Work independently with little oversight, demonstrating a proactive approach to understanding and meeting data needs across departments. Central Data Repository Creation: Manage large datasets and integrate data from various sources into a cohesive data repository. Qualifications: At least 5 years of relevant experience. Bachelor's degree in Business, Statistics, Computer Science, or a related field. Proven experience in business intelligence, data analysis, or a related role within the retail industry. Proficiency in data visualization tools (e.G., Tableau, Power BI) and strong SQL skills. Experience with systems such as NetSuite, Shopify, and Google Analytics preferred. Solid understanding of statistical analysis, forecasting, and predictive modeling. Excellent communication skills for conveying complex findings to non-technical stakeholders. Detail-oriented with a commitment to data accuracy and reliability. Strong grasp of general business topics such as gross margin, customer behavior trends, and average shipping load value. Ability to analyze and interpret data, and present recommended business decisions to stakeholders. Nice-to-Haves: Experience with Shipstation and FedEx systems. Knowledge of predictive modeling and statistical analysis