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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data validation, data quality, and data integration, with a strong ability to analyze complex data sets and provide actionable recommendations. Proficient in using SQL-based techniques and analytical tools to ensure data integrity and support client engagements.
Highest-signal resume keywords
Data ValidationData QualityData IntegrationSQL-Based TechniquesAgile Methodologies
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisData EngineeringData TransformationData Quality ChecksData Pipeline Management
Soft Skills
Critical ThinkingClient Relationship BuildingTechnical Guidance
Tools & Technologies
Analytical ToolsSQL
Industry Keywords
Data ScienceBusiness AdministrationComputer ScienceEconomicsMathematics
Tech Stack
Tools & technologiesSQL
About the role
Key responsibilities & impact- Develop data validation approaches for client engagements and translate business requirements into technical controls
- Analyze complex data sets to identify anomalies, breakpoints, and transformation issues across data pipelines
- Apply data engineering methods to support data integration, data quality checks, and data transformation activities
- Interpret validation findings and document issues, assumptions, and recommended corrective actions
- Collaborate with client teams to understand data sources, target structures, and reporting requirements
- Review assigned workstreams and support junior team members through technical guidance and feedback
- Use analytical tools and SQL-based techniques to test data movement, reconcile outputs, and trace data lineage
- Monitor project progress, adapt to changing priorities, and maintain focus on deliverables and timelines
Requirements
What you’ll need- At least a Bachelor's degree
- At least 3 years of experience
- Preference for at least one of the following fields of study: Analytics/Data Science, Business Administration/Management, Computer Science/Information Systems, Economics, Engineering, Finance, Mathematics/Statistics, Operations/Supply Chain
- Demonstrating data validation, data quality, and data integration project experience
- Interpreting data findings into recommendations for client-facing delivery teams
- Using critical thinking to break down complex data issues
- Applying Agile methods and adapting to changing priorities
- Building client relationships while guiding junior team members
- Upholding technical standards and independence requirements
- Ability to travel up to 60%
- PwC does not intend to hire candidates who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth in the stated policy
Benefits
Comp & perks- Annual discretionary bonus
- Medical insurance
- Dental insurance
- Vision insurance
- 401k
- Holiday pay
- Vacation
- Personal and family sick leave
