Data Analyst with SQL and Python
Core
Data Analyst supporting data-driven initiatives through ad-hoc reporting, analysis, and data quality validation for business and product partners.
Role type
Mid-level Data Analyst (Financial Services)
Builds
Ad-hoc reports, validated data outputs, and normalized datasets for enterprise reporting.
Domain
Financial Services / Wealth Management
Deliverable
dashboards & analysis
Required skills
T-SQL, relational databases, data modeling, data aggregation, analytical thinking, data validation, documentation, Microsoft Excel, business process understanding
Preferred skills
Python, AWS, normalized dataset creation, system monitoring tools, API understanding
Responsibilities
Address ad-hoc data and reporting inquiries, write and optimize T-SQL queries, validate and review data outputs, provide peer support and review, identify process enhancements, manage and prioritize incoming requests, maintain documentation for raw data sources