Data Analyst for Retail Operations
hace 1 semana
About Sagan
Sagan is a membership community that connects top executives, founders, and CEOs with international talent from vibrant regions. We bridge the gap between global talent and US-based businesses.
Job Overview
The Data Analyst for Retail Operations will transform raw data into actionable insights, supporting strategic business decisions. Initial projects include analyzing E-commerce trends, customer behavior, site traffic, and shipping costs to understand profitability by product line.
Key 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.
Salary Range: up to $3200 USD per month.
Location: Remote (MST Time zone)
Work Schedule: Monday - Friday, 9:00 AM to 5:00 PM (MST)
Note: This is an independent contractor position.
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