Senior Data Validation & Risk Analytics Associate

PwC; Dallas (TX); On-site; USD 77,000 - 202,000; Full time

Job summary

PwC is seeking a Data Validation Risk Senior Associate to support client engagements in data and analytics engineering. You will design data validation approaches, analyze complex data sets, and mentor junior team members within our Risk & Regulatory practice.

You will apply data engineering methods to ensure data quality, transform data into actionable insights, and communicate findings with client delivery teams while upholding professional standards and ethics.

Qualifications

• Bachelor's degree is required.
• Minimum 3 years of experience in data analytics or risk.
• Experience with data validation and data integration is preferred.

Responsibilities

• Developing data validation approaches for client engagements and translating business requirements into technical controls.
• Analyzing complex data sets to identify anomalies, breakpoints, and transformation issues across data pipelines.
• Applying data engineering methods to support data integration, data quality checks, and data transformation activities.
• Interpreting validation findings and documenting issues, assumptions, and recommended corrective actions.
• Collaborating with client teams to understand data sources, target structures, and reporting requirements.
• Reviewing assigned workstreams and supporting junior team members through technical guidance and feedback.
• Using analytical tools and SQL-based techniques to test data movement, reconcile outputs, and trace data lineage.
• Monitoring project progress, adapting to changing priorities, and maintaining focus on deliverables and timelines.

Skills

Data validation

Data quality

Data integration

SQL proficiency

Education

Bachelor's degree

Tools

SQL

Job description

PwC is seeking a Data Validation Risk Senior Associate to support client engagements in data and analytics engineering. You will design data validation approaches, analyze complex data sets, and mentor junior team members within our Risk & Regulatory practice.

You will apply data engineering methods to ensure data quality, transform data into actionable insights, and communicate findings with client delivery teams while upholding professional standards and ethics.