Senior Compliance Data Analyst - Data-Driven Risk Insights

Jobtailor; New Jersey; On-site; USD 90,000 - 130,000; Full time

Job summary

Jobtailor in New Jersey is seeking a data analytics engineer to build data-driven solutions with a focus on compliance risk. You will partner with IDEAS and ECO stakeholders to translate business needs into technical requirements and deliver well-tested solutions from concept through deployment.

You will evaluate data with analytical reasoning and contribute to projects across requirements gathering, development, testing, and documentation.

Qualifications

• BS/BA required.
• 3–7 years of relevant experience in analytics, data engineering, software development, or related technical field.
• Proficiency in R and Python coding languages.
• Able to write/understand a programming language (e.g., .NET, C#, Java, HTML).
• Intermediate to advanced SQL and Microsoft Fabric skills.
• Experience with DataIKU and NLP models.
• Strong communication and ability to tailor messages for technical and non-technical audiences.

Responsibilities

• Support ECO by helping to build and enhance data-driven solutions with a focus on critical-to-compliance risk areas.
• Partner with IDEAS team members and ECO stakeholders to understand business needs, translate them into technical requirements, and deliver well-tested solutions.
• Evaluate data using analytical and logical reasoning for the discovery of insights.
• Contribute to projects from concept to deployment, including requirements gathering, development, testing, and documentation.

Skills

R Programming

Python Programming

SQL Proficiency

Microsoft Fabric

Strong Communication

Education

BS/BA

Tools

DataIKU

NLP Models

Job description

Jobtailor in New Jersey is seeking a data analytics engineer to build data-driven solutions with a focus on compliance risk. You will partner with IDEAS and ECO stakeholders to translate business needs into technical requirements and deliver well-tested solutions from concept through deployment.

You will evaluate data with analytical reasoning and contribute to projects across requirements gathering, development, testing, and documentation.