Data Management - Data Analyst - Sr

Job title: Data Analyst  
Duration: 7 months with possible extension 
Location: Richmond, VA - Hybrid 
Rate: $40-$45/hr on w2 - without benefits

Introduction

We are seeking a high-caliber Senior Data Analyst to join our Card Data Observability team. In this role, you will be the analytical engine driving the data protection, scan verification, and data compliance tracking workflows for our large-scale ledger migration. This is not a passive reporting role. Your data analysis will directly guide engineering teams on how and where to apply production-level data masking and tokenization plays.

Required Skills & Qualifications

• Extensive hands-on experience writing complex querying logic over structured and semi-structured architectures within Snowflake or equivalent enterprise cloud data platforms.
• Proven background working within Databricks compute frameworks to explore, extract, and inspect underlying enterprise code bases or dataset tables.
• Direct technical comfort querying, calculating, and inspecting cloud objects directly inside AWS S3 environments.
• Experience configuring access and generating scannable metrics reporting within Amazon QuickSight dashboards.
• Must have previous client experience working for this customer in the past 5 years.

Preferred Skills & Qualifications

• Deep comprehension of programmatic data filtration approaches, deduplication routines, and standard mathematical string validations (e.g., Luhn check patterns).
• Exceptional technical writing capacity to compile audit logs, create operational Markdown playbooks, and effectively drive multi-organizational daily tracking forums.
• Experience working in agile environments and participating in cross-functional operational meetings, including Daily Standups and Bi-Weekly SME Alignment Forums.

Day-to-Day Responsibilities

• Monitor automated enterprise notifications ensuring that structural migrations are captured and incoming datasets are mapped for assessment.
• Extract active security violation events from complex Snowflake analytical views and build programmatic pivot metrics and classification profiles.
• Manage structural data dictionaries and trackers, including the DSF Backbook Migration Log and the Sensitive Data Classification Validation Log.
• Partner closely with data engineering operators to track the health of automated end-to-end data remediation routines executing via Databricks jobs.
• Prepare and frame analytical findings packets ahead of critical technical reviews and champion insights during cross-functional operational meetings.

Company Benefits & Culture

• Collaborative and innovative work environment.
• Opportunities for professional growth and development.
• Commitment to data protection and compliance excellence.