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TransUnion

Senior Data Analyst

TransUnion

. Develop TransUnion’s IP Geolocation technology using IP network topology .

Posted 10/5/2026full-timeUnited StatesSenior💰 $90,000 - $150,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data science with a strong focus on SQL, R, Python, Mongo DB, and BigQuery for data analysis and automation algorithm improvements. Proven ability to collaborate with cross-functional teams and communicate complex technical concepts to non-technical stakeholders.

Highest-signal resume keywords
Data Science ExperienceSQL ProficiencyR ProgrammingPython ProgrammingAutomation Algorithm Improvement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data AnalysisData ExtractionData TransformationAutomation AlgorithmsBig Data Utilization
Soft Skills
Stakeholder CollaborationCommunicationProblem SolvingTrustworthinessRespectful Communication
Tools & Technologies
Mongo DBBigQuery
Industry Keywords
IP GeolocationData QualityData Science InitiativesHybrid Work

Tech Stack

Tools & technologies
BigQueryMongoDBPythonSQL

About the role

Key responsibilities & impact
  • Develop TransUnion’s IP Geolocation technology using IP network topology
  • Identify and implement automation algorithm improvements
  • Query, extract, and transform large datasets using SQL, R, Python, Mongo DB, and BigQuery
  • Provide analytical insights from large datasets to improve data quality
  • Work through complex problems with various stakeholders
  • Collaborate with Data Analytics Team members, Engineers, and Data Scientists
  • Leverage big data to improve automation algorithms and provide accurate information to customers
  • Report to a Senior Manager of Data Science & Analytics

Requirements

What you’ll need
  • 5+ years of data science experience
  • Proven experience with SQL, R, Python, Mongo DB, and BigQuery
  • Ability to translate technical terminology for non-technical stakeholders
  • Experience leading data science initiatives
  • Ability to work hybrid, including in-person attendance at an assigned TU office for a minimum of two days per week
  • Adherence to company policies, sound judgment, trustworthiness, safe working practices, respectful communication, and protection of confidential and proprietary information

Benefits

Comp & perks
  • Day-one medical, dental, and vision coverage
  • Supplemental plan options
  • HSA and FSA accounts
  • Company-paid basic life and AD&D insurance
  • Optional voluntary life and AD&D insurance
  • Short- and long-term disability coverage
  • Legal plan
  • Pet insurance
  • Travel accident coverage
  • Adoption assistance
  • Fertility planning coverage
  • Caregiver support
  • Dependent Care FSA with possibility of employer match
  • Complimentary Care@Work membership
  • Up to 12 weeks of paid parental leave with gradual return
  • 401(k) with employer match
  • Employee Stock Purchase Plan (ESPP)
  • Financial wellness resources
  • Career coaching
  • Optional long-term care insurance
  • Tuition reimbursement
  • Flexible time off for exempt employees or paid time off for nonexempt employees
  • Up to 12 paid holidays per year
  • Commuter benefits
  • Employee discounts
  • Charitable gift matching
  • Paid volunteer time off
  • Corporate volunteer events
  • 24/7 professional therapy, coaching, and emotional well-being support
  • Guided meditation and physical, mental, social, and financial wellness resources