Senior Data Analyst

• Develop and Implement Dashboarding Best Practices:
Lead the standardization and centralization of dashboarding frameworks, ensuring consistent, insightful, and user-friendly visualizations across teams;
• Empower Self-Serve Analytics:
Collaborate with stakeholders to design and deploy scalable, intuitive analytics solutions and tools, enabling teams to access and interpret data independently;
• Optimize ETL Pipelines for Scalability:
Build and maintain efficient ETL processes to ensure reliable, accurate, and timely delivery of data to support analytics and reporting needs;
• Develop and maintain reliable data models to support key business metrics;
• Create and implement processes to ensure data quality and accuracy;
• Handle data discovery, exploration, and insights generation for business and product improvements;
• Experience in coaching, guiding and leading projects alongside junior team members.

• 4+ years of data analytics experience;
• Bachelor’s degree in System Information, Computer Science, Mathematics, Statistics, or related fields from a reputable university;
• Advanced SQL and data manipulation skills;
• Data wrangling experience with Python/R;
• Advanced Excel knowledge;
• Good experience with one or more databases like Snowflake, Big Query, Redshift, Postgres, Oracle, Teradata, MySQL etc;
• Excellent data visualization skills using Tableau/Looker or other data visualization tools;
• Detail-oriented with a focus on accuracy.