Title: Data analyst
Duration: 3 months
Location: Richmond, VA
Pay Rate: $40 - $45 hr. W2
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. You will dive directly into AWS S3 environments, compile analytical views inside Snowflake, parse unmasked validation data inside Databricks, and apply cryptographic validation rules to eliminate false-positive alert noise across millions of records. 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 hand-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.
- 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 in agile communications delivery.
Day-to-Day Responsibilities
- Monitor automated enterprise notifications ensuring that structural migrations are captured and incoming datasets are mapped for assessment.
- Analyze active AWS S3 storage buckets to calculate full counts of active data partition files.
- Extract active security violation events from complex Snowflake analytical views.
- 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.
Company Benefits & Culture
- Competitive salary and benefits package.
- Opportunity to work in a dynamic and innovative environment.
- Supportive and collaborative team culture.
For immediate consideration please click APPLY to begin the screening process with Alex.