below marketmost similar roles pay hereabove market
This role pays less than
74%
of similar roles. Most pay
$138,800–$211,750
— the blue band above.
At the midpoint, this role pays about
$140k
versus about
$175k
for comparable roles.
Based on 240 similar postings.
Employer
About PWC
PwC (PricewaterhouseCoopers) is one of the "Big Four" accounting and professional services firms, providing audit, tax, and advisory services to companies, governments, and institutions worldwide. Industry: Professional Services & Accounting
PWC currently has
108 open roles
on FindRole.
Listed pay typically runs
$99,000–$252,450
across 104 roles with salary data.
As a Data Validation Risk - Senior Associate within the Risk & Regulatory practice, you will support client engagements by performing data engineering work to transform raw information into actionable insights. You will design and develop data solutions, build data pipelines, and manage data integration and transformation activities. Your daily responsibilities include analyzing complex datasets to identify anomalies, developing data validation approaches, and translating business requirements into technical controls. You will use SQL-based techniques to test data movement, reconcile outputs, and trace data lineage while interpreting findings into recommendations. The role requires applying Agile methods, mentoring junior team members, and ensuring data quality. You will solve technical problems related to data integrity, identifying breakpoints and transformation issues across various client data sources and reporting structures.
Develop data validation approaches and translate business requirements into technical controls.
Analyze complex datasets to identify anomalies, breakpoints, and transformation issues across data pipelines.
Apply data engineering methods to support data integration, quality checks, and transformation activities.
Interpret validation findings to document issues, assumptions, and recommended corrective actions.
Use SQL-based techniques to test data movement, reconcile outputs, and trace data lineage.
Review assigned workstreams and provide technical guidance and feedback to junior team members.
Collaborate with client teams to define data sources, target structures, and reporting requirements.
What we're looking for
At least a Bachelor's degree.
At least 3 years of experience.
Preference for a degree in Analytics, Data Science, Business, Computer Science, Economics, Engineering, Finance, Mathematics, or Statistics (preferred).
Experience with data validation, data quality, and data integration projects (preferred).
Ability to interpret data findings into recommendations for client-facing delivery teams (preferred).
Ability to use critical thinking to break down complex data issues (preferred).
Ability to apply Agile methods and adapt to changing priorities (preferred).
Ability to build client relationships while guiding junior team members (preferred).
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