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Über
Are you passionate about transforming complex data into actionable insights? Do you thrive in a dynamic environment focused on fraud prevention and AML initiatives? We are seeking a talented Sr. Data Analyst to join our Fraud/AML squad within Enterprise Data and Information Services (EDIS). This hybrid role offers the flexibility of working remotely while being within a 35‑mile radius of Cleveland, Columbus, Albany, or Buffalo. You’ll play a vital role in building and maintaining data pipelines, supporting reporting, analytics, and strategic decision‑making that protect financial integrity. If you're ready to make an impact in a collaborative and fast‑paced environment, we want to hear from you!
Key Responsibilities:
Own attribution mapping for data elements from source systems to target Fraud, AML, and data marts within the data supply chain.
Translate business requirements into detailed mapping documents, develop and unit test datasets using maintainable, reusable code, and perform peer code reviews.
Mentor and train junior analysts, fostering a learning environment.
Contribute ideas for process improvements to reduce costs, increase efficiency, and enhance data quality.
Assess emerging data solutions, provide design guidance, optimize performance, and share development insights.
Develop and maintain technical documentation, specifications, and project artifacts.
Follow and promote data standards and best practices, extending them across teams.
Collaborate on data model design, including Entity Relationship Diagrams, to build efficient SQL queries.
Create and update context diagrams to ensure data solution auditability.
Define business rules, transformation logic, and SQL code for mapping documentation.
Contribute to mapping review sessions and data architecture discussions.
Support portfolio planning, project prioritization, and remediation efforts.
Apply risk management practices specific to financial data environments.
Required Skills & Qualifications:
Master’s Degree plus 5+ years of data analytics experience, Bachelor's Degree plus 8+ years, or equivalent military/work experience.
Minimum of 3 years’ experience with SQL.
Hands‑on experience with Google Cloud Platform, particularly BigQuery.
Strong analytical skills, including automation of data quality validations.
Excellent written and verbal communication skills.
Proven experience working within Agile methodologies, Jira, and Confluence.
Attention to detail and a focus on quality.
Ability to manage multiple priorities effectively.
Experience in AML, Fraud, or Financial Industry is a plus.
Familiarity with AbInitio or ETL tools is a plus.
What We Offer:
Competitive hourly pay rate between $65.00 and $75.00.
Flexible hybrid work schedule near Cleveland, OH, Columbus, OH, Albany, NY, or Buffalo, NY.
Opportunity to work on impactful projects that protect financial systems.
Collaborative team environment and opportunities for mentorship and growth.
Worksite:
Cleveland, OH (or within 35 miles of Columbus, Albany, or Buffalo)
Pay Rate:
$65.00 - $75.00 per hour (Pay Type: Per Hour)
Start Date:
April 20, 2026
End Date:
October 23, 2026
Hours:
Standard business hours with hybrid flexibility
Don’t miss this exciting opportunity to advance your career as a Sr. Data Analyst in a vital industry. Join a team dedicated to building secure and reliable financial services!
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Sprachkenntnisse
- English
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