ERP Data Validation & Risk Lead

PwC

Dallas (TX)

On-site

USD 99,000 - 232,000

Full time

12 days ago

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Benefits offered by this job

Discretionary bonus
Comprehensive benefits

Job summary

PwC's Risk & Regulatory practice seeks a Data Validation Risk Manager to design and execute data validation strategies during ERP implementations, applying analytics, visualization, and statistical modeling to help clients solve complex problems.

As a Manager, you will lead teams, manage client accounts, mentor junior staff, ensure project success, and uphold PwC values and integrity while delivering data-driven solutions with Power BI, Tableau, SQL, Python, and Excel.

Qualifications

  • Bachelor's degree required.
  • At least 4 years in a public accounting firm or professional services.
  • Experience with ERP implementations is preferred.
  • Strong data manipulation and visualization skills.

Responsibilities

  • Leading data validation and risk management initiatives.
  • Utilizing advanced analytics to extract insights from complex datasets.
  • Developing data quality and data pipelines to enhance data integrity.
  • Managing and mentoring teams to deliver data-driven solutions and meet client expectations.
  • Building and maintaining dashboards using Power BI and Tableau.
  • Collaborating with stakeholders to address data challenges and optimize performance.
  • Applying statistical modeling and predictive analytics to solve complex business problems.

Skills

Data validation
Team leadership
Analytics
Mentoring
Client management

Education

Bachelor's degree

Tools

Excel
SQL
Python
Alteryx
Databricks
Snowflake
Power BI
Tableau

Job description

PwC's Risk & Regulatory practice seeks a Data Validation Risk Manager to design and execute data validation strategies during ERP implementations, applying analytics, visualization, and statistical modeling to help clients solve complex problems.

As a Manager, you will lead teams, manage client accounts, mentor junior staff, ensure project success, and uphold PwC values and integrity while delivering data-driven solutions with Power BI, Tableau, SQL, Python, and Excel.

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