Senior Data Analyst
Cardless provided pay range
This range is provided by Cardless. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
- 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
- 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
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Seniority level
Not Applicable -
Employment type
Full-time -
Job function
Information Technology -
Industries
Technology, Information and Internet
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