2 часа назад
Senior Analytics Engineer (Financial Services)
42 - 62$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Analytics Engineer (Financial Services) (SQL/data modeling): Building data acquisition, historical data repositories, canonical models, and regulatory reporting datasets for large-scale financial services risk programs with an accent on data quality, reconciliation, lineage, and audit readiness. Focus on solving complex issues across multiple source systems, supporting regulatory reporting and risk analytics, and integrating datasets with Power BI reporting.
Location: Charlotte, United States
Salary: $42–$62 per hour
Company
provides professional services to middle-market clients globally, including risk consulting and financial services advisory.
What you will do
- Build and maintain data acquisition, ingestion, staging, and historical data repositories for regulatory reporting and analytics.
- Design canonical data models, reference data structures, business classifications, and exception management repositories.
- Implement data quality controls, validations, reconciliations, audit documentation, and data lineage evidence.
- Analyze complex data issues, investigate root causes, and develop sustainable remediation solutions across multiple source systems.
- Collaborate with business, risk, compliance, audit, and technology stakeholders throughout project delivery.
- Support SIT, UAT, implementation, production support, and datasets for Power BI and management reporting.
Requirements
- 6+ years of experience in analytics engineering, data engineering, data warehousing, or a related discipline.
- Advanced SQL skills, including complex transformations, reconciliations, optimization, and performance tuning.
- Experience designing ETL/ELT solutions across multiple source systems.
- Experience with dimensional modeling, canonical data models, and historical snapshot architectures.
- Experience in financial services, banking, risk management, regulatory reporting, compliance, or audit.
- Strong understanding of data quality controls, reconciliations, regulatory requirements, complex data analysis, and stakeholder communication.
Nice to have
- Experience with BCBS 239, enterprise risk programs, risk data aggregation, or regulatory reporting initiatives.
- Experience building historical, immutable, or append-only data repositories.
- Familiarity with data lineage, metadata management, governance platforms such as Collibra, and Power BI.
- Experience with Azure, Databricks, Snowflake, Synapse, Fabric, Informatica, Talend, Alteryx, or Teradata.
Culture & Benefits
- Full-time employment with a compensation and benefits package.
- Flexible scheduling to support work-life balance while serving clients.
- Equal opportunity employment and reasonable accommodation during recruitment.
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