Position Details
About this role
This role involves performing data analysis, building data solutions, and supporting data validation and visualization efforts within a financial services environment.
Key Responsibilities
- Perform data analysis and validation
- Build and maintain data solutions
- Develop dashboards and reports
- Collaborate with business teams
- Ensure data quality and compliance
Technical Overview
The technical environment includes SQL, Python, R, Spark, Snowflake, and relational databases, operating in an agile setting focused on data-driven decision-making.
Ideal Candidate
The ideal candidate is a mid-level data analyst with strong skills in SQL, Python, and data visualization tools, with experience in data validation and relational databases. They should be comfortable working in an agile environment and possess a background in quantitative fields.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with Snowflake or relational databases, No proficiency in SQL or Python, No background in data validation or analysis, Unrelated educational background
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