Strategic Retail Data Insights Specialist

hace 3 días


Madrid, Madrid, España Sagan A tiempo completo
Job Title: Strategic Retail Data Insights Specialist

Location: Remote (MST Time zone)

Salary Range: up to 3200 USD per month

Work Schedule: Monday - Friday, 9:00 AM to 5:00 PM (MST)

A note on employment: This is an independent contractor position.

About Sagan

Sagan is a premium membership community for top executives, founders, and CEOs looking to hire international talent. We bridge the gap between global talent and US-based businesses, connecting candidates from vibrant regions with leading American companies.

Job Overview

The Strategic Retail Data Insights Specialist 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
  1. Data Analysis and Interpretation: Identify trends, patterns, and correlations in data, translating findings into actionable insights.
  2. Reporting and Visualization: Develop and maintain dashboards and reports to communicate KPIs to stakeholders.
  3. Forecasting and Predictive Modeling: Create forecasting models for inventory management, sales projections, and strategic planning.
  4. Cross-Functional Collaboration: Proactively collaborate with Marketing, Finance, and Operations to support business objectives with data-driven recommendations.
  5. Data Quality Assurance: Ensure data accuracy and address inconsistencies and anomalies.
  6. Autonomous Operation: Work independently with little oversight, demonstrating a proactive approach to understanding and meeting data needs across departments.
  7. 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.

Please submit your resume and intro video in English format to ensure prompt processing of your application.


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