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Senior Data Analyst
2 months ago
We are seeking a highly skilled Senior Data Analyst to join our data team at Cardless. As a Senior Data Analyst, you will play a critical role in helping us improve our ability to report and visualize trends for metrics. You will partner with members across internal and external teams to help meet their data needs, including reporting metrics, supporting partners in answering questions, and developing data-driven solutions.
Key Responsibilities- Data Analysis and Insights: Collect, clean, and analyze data from various sources to identify trends, patterns, and insights that drive business decisions.
- Reporting and Visualization: Create reporting dashboards and monthly financial reports using SQL and data tools such as Mode and Looker to effectively communicate findings to stakeholders.
- Data Pipeline Development: Develop and maintain data pipelines and ETL processes to support analytics and business intelligence needs, ensuring data quality and integrity.
- Collaboration and Communication: Collaborate with cross-functional teams to identify areas for improvement, answer business questions, and develop data-driven solutions that meet business needs.
- Data Quality and Troubleshooting: Monitor and ensure data quality within the data warehouse, troubleshooting and resolving issues as needed to maintain data accuracy and reliability.
- Stakeholder Communication: Develop reports, presentations, and data models to communicate findings and recommendations to stakeholders, ensuring effective communication of complex data insights.
- Advanced SQL and Data Modeling Skills: Advanced SQL and data modeling skills, with experience in Python a plus.
- Experience in Data Analysis: 3-6 years in data analysis, data science, or related fields, with experience in credit card industry a plus.
- Data Warehouse and Visualization Tools: Experience with data warehouse and visualization tools, such as Redshift, Snowflake, Looker, Tableau, Micro-strategy, etc.
- Quantitative Background: Bachelor's degree in a relevant quantitative/STEM field such as Data Science, Statistics, Economics, or Mathematics.
- Analytical and Problem-Solving Skills: Excellent analytical and problem-solving skills, with the ability to assess complex data sets and identify patterns and trends.
- Communication Skills: Good communication skills, both verbal and written, with the ability to explain complex data insights to non-technical stakeholders.
- Independence and Project Management: Ability to work independently, with minimal supervision, and manage multiple projects simultaneously.
- Competitive Salary: $130,000 - $180,000 a year, with equity and benefits.
- Hybrid Work Arrangement: This role has a hybrid work arrangement, with the data analyst coming into the office three times a week.
- Benefits: Excellent benefits, including 100% health, vision & dental primary coverage, 75% health, vision & dental dependent coverage, catered lunches, $250/month Commuter benefit, parental leave, team building events & happy hours, flexible PTO with a minimum of 15 days off per year, Apple equipment, and 401k plan.
