Senior Data Analyst

The Job: 

• Data Analysis: Analyze large and complex data sets to extract valuable insights and support business decisions and strategies. 
• Trend Identification: Identify trends, patterns, and anomalies using statistical techniques to facilitate data-driven decision-making. 
• Strategic Recommendations: Provide valuable recommendations for optimizing business performance and enhancing customer experiences. 
• Data-Driven Strategies: Develop and implement data-driven strategies to optimize business performance, enhance customer experience, and drive growth. 
• Process Improvement: Identify opportunities for process improvement, cost optimization, and revenue generation through data insights. 
• Reporting & Dashboards: Create reports and interactive dashboards to effectively communicate data insights to stakeholders. 
• Cross-Functional Collaboration: Work with marketing, product development, and customer service teams to prioritize data-driven initiatives. 
• Stakeholder Engagement: Collaborate with stakeholders to understand business requirements and align data analysis efforts with organizational goals. 
• AI/ML Initiatives: Drive AI/ML-based growth automation initiatives to enhance customer engagement, retention, and revenue generation. 
• Training & Data Quality: Train users on SQL/Tableau, manage data quality, and collaborate with the data engineering team to ensure data integrity.