Data Insights Strategist

hace 4 días

Bogotá, Bogotá D.E., Colombia Sagan A tiempo completo

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.

 

Job Title: Data Insights Strategist

Location: Remote (MST Time zone)

Estimated Salary Range: up to 3200 USD per year

 

Job Description

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

To be successful in this role, you should have at least 5 years of relevant experience. You should also hold a Bachelor's degree in Business, Statistics, Computer Science, or a related field. Additionally, you should have proven experience in business intelligence, data analysis, or a related role within the retail industry.

 

You should possess proficiency in data visualization tools such as Tableau or Power BI, as well as strong SQL skills. Experience with systems such as NetSuite, Shopify, and Google Analytics is preferred. A solid understanding of statistical analysis, forecasting, and predictive modeling is also required.

 

Excellent communication skills are necessary for conveying complex findings to non-technical stakeholders. Detail-oriented individuals with a commitment to data accuracy and reliability are ideal for this role. A strong grasp of general business topics such as gross margin, customer behavior trends, and average shipping load value is also essential.

 

Nice-to-Haves:

  • Experience with Shipstation and FedEx systems.
  • Knowledge of predictive modeling and statistical analysis.

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