Senior Analyst

Role Summary
The Senior Analyst drives data‑informed decision making by delivering high‑quality analysis, reporting, visualizations, and data validation to support revenue growth, profitability, and strategic initiatives. This role partners closely with business leaders across the organization to translate complex data into actionable insights.

The ideal candidate is an analytical problem solver with advanced SQL and Excel skills, hands‑on experience building Power BI dashboards, and a passion for using modern analytics to influence business decisions. This position requires strong collaboration, communication, and intellectual curiosity in a fast‑paced, cross‑functional environment.

Duties & Responsibilities

• Use SQL and Excel to analyze data and support decisions that drive revenue growth, profitability, customer experience, and operational efficiency.
  
• Develop and maintain dashboards and reports to track KPIs, identify trends and key drivers, and provide insights to stakeholders.
  
• Lead data driven projects, ensuring data accuracy and integrity while collaborating with cross functional teams.
  
• Deliver insights and recommendations that inform strategic and operational decisions.
  
• Continuously improving analytical methods, tools, and processes to increase efficiency and impact.
  
  

Requirements

Minimum of 5 years of experience in data analytics or in a business intelligence role

Basic Qualifications

• Bachelor's Degree in Analytics, Economics, Statistics, Mathematics or a related field or equivalent work experience
  
• 5+ years of experience in data analytics or in a business intelligence role
  
• Advanced proficiency using SQL, Microsoft Excel, and Power BI, utilizing customer data
  
• Proven ability to communicate complex data insights to diverse audiences.
  
• Experience working in cross functional, project based environments.
  
• Background in analytically rigorous industries (e.g., finance, consulting, technology)
  
  

Preferred Qualifications

• Experience with statistical analysis, modeling, and experimentation (A/B testing).
  
• Experience applying AI, machine learning, or advanced analytics to business problems.
  
• Knowledge of eCommerce best practices.