0–2 yrsBengaluruOn-siteDirect career pageEst. 5–9 LPA
Posted 8h ago
Reach people at TransUnion
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at TransUnion you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Build and manage data pipelines and repeatable data transformations using internal platforms and Google BigQuery to support client marketing insights.
- Translate business rules into specifications and documentation; profile and review data, maintain quality controls, and follow processing standards.
- Work with cross-functional teams to deliver end-to-end solutions, review data with stakeholders, and participate in client meetings.
Minimum Requirements
- Work Experience Required: 0–2 years in data analysis and SQL programming is highly desirable; hands-on SQL scripting and data analytics may come from academic projects, internships, or current employment.
- Bachelor’s degree or above in Computer Science, Mathematics, Data Science, or experience in a related analytical field is required.
- Hands-on SQL and analytics, with basic-to-moderate knowledge of Python, SQL, BigQuery, PySpark, and data-processing models; basic-to-moderate GCP knowledge is desired.
- Hybrid attendance is required: work in person at an assigned TransUnion office at least two days per week.
Ideal Candidate Profile
- Has early-career, practical experience turning data into reliable analytics through SQL scripting, data profiling, and pipeline or transformation work.
- Can connect technical data work to marketing insights and business rules; familiarity with digital marketing, advertising, or media data is an advantage.
- Is comfortable working across technical and non-technical stakeholders, supporting client data reviews, and handling multiple cross-functional projects.