Analyst

Overview

Analyst role at TransUnion combining marketing analytics and data engineering technologies to deliver client marketing insights, with a focus on data pipeline setup and data transformation.

What you'll do

• Establish and manage data pipelines using internal data processing platforms including Data Definition Module, AIP/DN, and Google BigQuery.
• Identify and translate business rules into specifications, creating and maintaining documentation.
• Ensure quality control and follow standard guidelines.
• Adhere to best practices and standards, maintaining process efficiencies.
• Collaborate with cross functional teams across Marketing Solutions business group (Modeling, Solution Architects, Consulting Services, Product and Engineering) to implement end-to-end solutions and improve processes.
• Participate in client meetings; review data with internal stakeholders using Excel, PowerPoint, and other data visualisation tools.

What you'll need

• Bachelor's degree (required) or above in Computer Science, Mathematics, Data science or experience in related analytical field.
• 0-2 years of experience in Data Analysis and SQL programming is highly desirable.
• Demonstrated hands-on experience with SQL scripting and data analytics through academic projects, internships or current organisation.
• Basic to moderate level knowledge of Python, SQL, BigQuery, pySpark and Data Processing related models.
• Moderate analytic and creative problem-solving skills.
• Good understanding and basic Hands-On of MS Excel.
• Ability to communicate well with colleagues and others with both technical and non-technical backgrounds.
• An agile and resilient work ethic while handling multiple projects involving cross-functional teams.

Nice to have

• Basic to moderate knowledge on Cloud computing - GCP services like Google Cloud Storage, Big Query, DataProc is desired.
• Knowledge on One-Tru is an added advantage.
• Basic knowledge in digital marketing, advertising and media data is a plus.

Details

• Hybrid position: minimum of two days a week in-person at an assigned TU office location, with the remainder performed virtually.