Senior Data Analyst

Join Our Team as a Sr. Data Analyst – Hybrid Opportunity in Cleveland, OH or Nearby Cities!

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. Apply today and join a team dedicated to building secure and reliable financial services!

Ready to Apply?

Click the link to submit your application or contact us to learn more about this opportunity!