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About
Job Brief Join the Fraud/AML squad as Senior Data Analyst within Enterprise Data and Information Services (EDIS). Be part of a team focused on building robust enterprise data pipelines to support reporting, analytics, and business insights that drive critical business decisions.
Responsibilities
Own attribution mapping details for data elements from source systems to target Fraud/AML marts within the data supply chain.
Translate business requirements into detailed mapping documents, develop and unit-test datasets, write maintainable code, and perform peer code reviews.
Mentor and train less experienced business and data analysts.
Propose continuous improvement ideas to reduce expenses, improve efficiency, and elevate quality.
Assess technical viability of new data solutions, providing design guidance, technical recommendations, performance optimization, and development insights.
Contribute to technical documentation, specifications, and project artifacts for developing data solutions.
Adhere to and identify standards and best practices to extend beyond the Fraud/AML Squad.
Provide input into data models and entity-relationship diagrams, using those documents to build efficient SQL.
Create and enhance context diagrams for data solutions to maintain auditability.
Provide all 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.
Understand portfolio planning, project prioritization, and remediation planning activities.
Leverage strong knowledge of risk-management practices associated with financial institutions or financial data.
Qualifications
Education: Master’s degree and 5+ years data-analytics experience, or Bachelor’s degree and 8+ years data-analytics experience, or equivalent military/work experience.
3+ years of SQL experience.
Experience with Google Cloud Platform, notably BigQuery.
Extensive experience in analyzing and interpreting business data, leveraging automation for data-quality validation.
Strong written and verbal communication skills.
Experience with Agile methodologies, JIRA, and Confluence.
Attention to detail, quality-focused, able to work multiple priorities simultaneously.
Experience in AML, Fraud, or the financial industry is a plus.
Experience with Ab Initio or another ETL tool is a plus.
Benefits
Health insurance: medical, dental, and vision coverage.
Retirement plans: participation in a company-sponsored retirement savings plan.
Legal service plans: access to attorneys for legal advice and representation.
VARITE is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
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Languages
- English
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