Senior Data Analyst

Responsibilities

Data Visualization & BI Architecture

• Lead the design and development of enterprise-scale dashboards and analytics platforms using tools such as QlikSense, Looker, Power BI, Tableau, or similar technologies
• Establish best practices and standards for data visualization, dashboard design, and reporting frameworks
• Ensure dashboards deliver clear, actionable insights for business leaders and operational teams

Advanced Data Analysis

• Analyze large-scale and complex datasets to identify trends, patterns, and opportunities that support strategic decision-making
• Apply advanced analytical techniques to support business optimization and performance monitoring
• Provide data-driven insights and recommendations to support product, operational, and strategic initiatives

Data Management & Data Modeling

• Design and maintain data models, semantic layers, and reporting frameworks for enterprise BI solutions
• Collaborate with Data Engineers to ensure high-quality, reliable, and scalable data pipelines
• Define data governance and data quality standards for reporting and analytics

Stakeholder Collaboration

• Partner with business units and product teams to understand requirements and translate them into scalable analytics solutions
• Present insights and analytical findings to both technical teams and senior business stakeholders
• Provide guidance and mentorship to junior analysts and BI developers

Continuous Improvement

• Identify opportunities to improve analytics capabilities, reporting automation, and decision-support systems
• Stay up to date with emerging trends in data analytics, BI platforms, and data visualization technologies

Qualifications

Required

• Bachelors or Masters degree in Data Science, Computer Science, Statistics, Mathematics, or related fields
• 4 years plus of experience in data analysis, business intelligence, or analytics roles
• Strong expertise in BI and data visualization platforms such as QlikSense, Looker, Power BI, or Tableau
• Advanced SQL skills for complex data extraction, transformation, and analysis
• Strong understanding of data modeling, dimensional modeling, and data warehousing concepts
• Experience working with large datasets and enterprise analytics environments
• Strong analytical thinking and problem-solving capabilities
• Excellent communication skills with the ability to translate data insights into business recommendations

Preferred

• Experience working with cloud-based data platforms (AWS, Azure, or GCP)
• Familiarity with big data technologies such as Spark, Databricks, or Hadoop
• Experience supporting retail, e-commerce, or digital platform analytics
• Knowledge of Python or R for advanced data analysis
• Experience implementing data governance and BI strategy