Data Insights Strategist

hace 15 horas


Madrid, Madrid, España Sagan A tiempo completo

Job Title: Data Insights Strategist

Location: Remote (Mountain Standard Time Zone)

Salary Range: up to 3200 USD per annum

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

Note: Independent Contractor Position

Company Overview

Sagan is a prestigious 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 with leading American companies.

Discover a world of career possibilities with Sagan.

Position Overview

The Data Insights Strategist 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 in Business Intelligence, Data Analysis, or a related role within the retail industry. Bachelor's degree in Business, Statistics, Computer Science, or a related field. Proficiency in data visualization tools like Tableau or 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.

Estimated Salary: up to 3200 USD per year based on location and industry standards.


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