Senior Data Analyst
Summary
Build and maintain dashboards, ETL pipelines, and data models to deliver insights and enable self-serve analytics for business teams using SQL, Python/R, and visualization tools.
• 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.
Requirements
- 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, BigQuery, 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.