Data Analyst

About the Role
The Technology Risk Controls Engineering team within client's Technology Organization is looking for a talented, enthusiastic team member to assist us in providing data analytics support for metric development for Senior Management, In this role the Data Analyst will identify, vet, and complete data analysis on data sources that support various metrics. The role involves partnering with the database team to on-board new data feeds, complete related UAT testing, and required documentation. The position will also be responsible ensuring the data supports the metrics, identifying the dataflow, and documentation the process.

Responsibilities:
Collaboration with data SMEs, data owners, and other team members to understand data requirements
Identify and evaluate potential data sources
Evaluate and document the data in terms of Volume, Velocity, Variety, Veracity and Value
Write scripts to extract, transform, and analysis data from various sources
Analysis and attest to the data's ability to support various metrics
Document requirements for new data source or data source enhancements
Partner with the database team to on-board new data following Technology standards and procedures
Guide the visualization team in the usage of the data for development of metrics
Follow the company's Software Development Life Cycle (SDLC) policies as required
Create required documentation to evidence the process

Requirements:
At least 5 years of writing Python scripts to analysis data including extensive knowledge of Pandas, RE, Lambda, and NumPy
Strong SQL Skills
At least 5 years of proven track record data analysis
At least 5 years of experience working with database and reporting teams
Basic understanding of Technology controls
Basic understanding of Technology risks
Intermediate Excel skills including string manipulate functions, vlookups, and Pivot tables
Strong communication and organization skills
Project Management experience
Experience with using AI tools such as Claude and Copilot to assist with data analysis and data validation

Preferred:
Knowledge of DevOps tools and concepts
Experience with GitHub and code deployment
Adaptable to learning new technologies and working in a dynamic environment
Ability to work in a dynamic, fast paced environment with limited direction where the individual actively with competing priorities
Advanced SQL Skills
Experience with Snowflake