Remote 20797336913 - Senior Business Intelligence Data Analyst

Description:

• The Senior Business Intelligence Data Analyst will lead end-to-end BI projects, including sourcing and modeling data, creating Tableau dashboards, and providing ad hoc analyses.
• Responsibilities include building and maintaining dashboards and reports for executive leadership, developing divisional scorecards, and collaborating cross-functionally to identify growth opportunities.
• The role involves sharing actionable recommendations based on data analysis, communicating complex insights to non-technical stakeholders, and establishing data governance practices.
• The analyst will drive service delivery for the BI platform, foster a data-driven decision-making culture, and develop presentations for executive audiences.
• Facilitating data democratization initiatives and conducting dashboard training sessions are also key responsibilities.

Requirements:

• 5+ years of experience in data analytics with a focus on data modeling, visualization, and providing data-driven recommendations.
• Proficiency in SQL and experience working with large datasets across various database technologies.
• Deep knowledge of data visualization best practices, with proficiency in Tableau preferred.
• Strong analytical acumen and understanding of quantitative and qualitative approaches in driving business strategies.
• Proven success in using data insights to impact business strategies and outcomes.
• Excellent data storytelling skills and the ability to translate complex findings into actionable insights.
• Passion for managing and developing high-performing analytics products and influencing key business decisions through data.

Benefits:

• Working in the apparel industry with a direct-to-consumer menswear brand.
• Opportunity to work with a company known for high-quality products and effective digital marketing strategies.
• Potential for growth and efficiency improvements through data insights.
• Contributing to optimizing customer growth and bottom-line impact.
• Establishing and managing data catalogs and documentation to ensure high data quality and reliability.
• Fostering a culture of continuous learning and data-driven decision-making within the organization.