Data Analyst - Direct Client - Onsite - Cleveland, OH/Columbus OH/Albany, NY/Buffalo, NY - W2 - JOBID705
Role summary
The Senior Data Analyst will be responsible for data mapping and delivering critical information to consumers across multiple data assets. This role involves building robust enterprise data pipelines for reporting, analytics, and business insights. Key duties include owning attribution mapping, translating business requirements into mapping documents, developing and testing datasets with reusable code, and performing peer reviews. The analyst will also mentor junior team members, identify areas for efficiency and quality improvement, assess new data solutions, contribute to technical documentation, and adhere to best practices. Experience with SQL, Google Cloud Platform (BigQuery), data analysis techniques, Agile methodologies, Jira, and Confluence is required.
The Senior Data Analyst will be responsible for data mapping, required to deliver vital information to the consumer population for multiple data assets.
Be part of a team that is focused on building robust enterprise data pipelines to support reporting, analytics, and business insights that drive critical business decisions.
Essential Job Functions:
· Owns the attribution mapping details for data elements from the source systems to the target Fraud, AML and various marts within data supply chain (DSC)
· Independently translates business requirements to detailed mapping documents, develops and unit tests datasets building maintainable code to accelerate delivery through reusability, and performs peer code reviews
· Embraces mentorship and provides training for less experienced business and data analysts
· Provides continuous improvement ideas to reduce expenses, improve efficiency, and elevate quality
· Assesses the technical viability of new and emerging data solutions providing design guidance, technical recommendations, performance optimization, and development insights
· Contributes to technical documentation, specifications, and project artifacts for developing data solutions
· Adheres to and identifies standards and best practices to be extended beyond the Fraud/AML Squad
· Provide input into Data Models and Entity Relationship Diagrams and use those documents to build efficient SQL
· Create and enhance context diagrams for data solutions to maintain auditability.
· Provide all the business rules, transformation logic, derived column expressions, SQL, etc. to build mapping documents
· Participate and give feedback in Mapping Review Sessions and Data Architecture Review Sessions
· Knowledge of portfolio planning, project prioritization, and remediation planning activities
· Strong knowledge of Risk Management practices associated with Financial Institution or financial data
Required Qualifications:
- Education: Master’s Degree and 5+ years data analytics experience, Bachelor’s Degree and 8+ years data analytics experience, or equivalent military/work experience
- 3+ years experience in SQL
- Experience in Google Cloud Platform, notably Big Query
- Extensive experience analyzing and interpreting business data leveraging various techniques including automation for data quality validations
- Possess strong written and verbal communication skills
- Experience with Agile Methodologies, Jira and Confluence