Audit Data Solutions Lead: Analytics & Automation

Comcast Technology Solutions

Philadelphia (Philadelphia County)

Hybrid

USD 150,000 - 190,000

Full time

14 days+

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Benefits offered by this job

Benefits package

Job summary

Comcast is seeking an experienced Data Solutions Fin Ops Principal to lead data analytics supporting audit testing for NBCU. You will drive data delivery, automate processes, and mentor a team across data sourcing, validation, and reporting.

Ideal candidates bring 10+ years in data/SQL/Python/dbt Core/Tableau with strong collaboration skills, and a deep understanding of IT controls and data privacy. This role offers opportunities across Comcast NBCUniversal and requires flexibility for varied

Qualifications

  • Bachelor’s degree in Information Systems, Business Administration, Computer Science, Statistics, Data Science, Technology or Engineering.
  • 10+ years of work experience with Data, SQL, Python, dbt Core, Tableau, Snowflake, AWS/Redshift, and AI/ML.
  • Strong analytical, critical thinking, and communication skills.
  • Experience with Internal Audit is preferred.

Responsibilities

  • Lead data analytics to support audit testing and reporting.
  • Oversee data extraction, manipulation, and validation for audits.
  • Mentor team members and drive automation/AI initiatives.
  • Ensure data security and IT controls compliance.

Skills

Collaboration
Data Visualization
SQL
Python
Data Analytics

Education

Bachelor's degree in Information Systems

Tools

dbt Core
Snowflake
Tableau
AWS/Redshift

Job description

Comcast is seeking an experienced Data Solutions Fin Ops Principal to lead data analytics supporting audit testing for NBCU. You will drive data delivery, automate processes, and mentor a team across data sourcing, validation, and reporting.

Ideal candidates bring 10+ years in data/SQL/Python/dbt Core/Tableau with strong collaboration skills, and a deep understanding of IT controls and data privacy. This role offers opportunities across Comcast NBCUniversal and requires flexibility for varied

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