Senior Data Analyst
July 18
🔄 Hybrid – San Francisco
Description
• Collect, clean, and analyze data from various sources to identify trends, patterns, and insights. • Create reporting dashboards and monthly financial reports using SQL and data tools such as Mode and Looker. • Develop and maintain data pipelines and ETL processes to support analytics and business intelligence needs. • Collaborate with cross-functional teams to identify areas for improvement, answer business questions, and develop data-driven solutions. • Monitor and ensure data quality within the data warehouse, troubleshooting and resolving issues as needed. • Develop reports, presentations, and data models to communicate findings and recommendations to stakeholders.
Requirements
• Advanced SQL and data modeling skills, Python experience a plus. • 3-6 years in data analysis, data science, or related fields. • Experience with data warehouse and visualization tools, such as Redshift, Snowflake, Looker, Tableau, Micro-strategy etc. • Bachelor's degree in a relevant quantitative/STEM field such as Data Science, Statistics, Economics, or Mathematics. • Excellent analytical and problem-solving skills, with the ability to assess complex data sets and identify patterns and trends. • Good communication skills, both verbal and written, with the ability to explain complex data insights to non-technical stakeholders. • Ability to work independently, with minimal supervision, and manage multiple projects simultaneously. • Experience in credit card industry is a plus.
Apply Now
