*Business Intelligence Analyst - (HR30704G)

Job Title: Business Intelligence Analyst
Location: Remote (MST Time zone)
Salary Range: up to 2500 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:

We are seeking a skilled and detail-oriented Business Intelligence Analyst to join our team. The ideal candidate will be responsible for transforming raw data into actionable insights to support strategic decision-making across our retail operations. You will collaborate with cross-functional teams to uncover trends and opportunities within our e-commerce channels, driving data-driven decisions.

Key Responsibilities:

• Data Analysis & Interpretation: Analyze internal and external data to identify trends and correlations, providing insights to support business decisions.
• Reporting & Visualization: Develop interactive dashboards and reports to communicate key performance indicators (KPIs) to stakeholders.
• Forecasting & Predictive Modeling: Use statistical techniques to create forecasting models, guiding inventory management and sales projections.
• Cross-Functional Collaboration: Partner with teams across Marketing, Finance, and Operations to provide data-driven recommendations that optimize processes.
• Data Quality Assurance: Implement data quality standards, ensuring accurate and reliable information for business decisions.

Qualifications:

• At least 3 years of relevant experience in data analysis or business intelligence.
• Bachelor's degree in Business, Statistics, Computer Science, or a related field.
• Proficient in data visualization tools like Tableau or Power BI, with strong SQL skills.
• Familiarity with systems like NetSuite, Shopify, and Google Analytics preferred.
• Strong communication skills to convey complex data insights to non-technical stakeholders.

Nice-to-Haves:

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

Please note: To ensure prompt processing of your application, we kindly request that you submit your resume and intro video in English format.