Data Quality Support Analyst
@ UBS

Cracow, Małopolskie, Poland
$80,000
On Site
Full Time
Posted 11 hours ago

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XXXXXXXXX XXXXXXXXXXX XXXXXXXX****** @ubs.com
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Job Details

Overview

UBS is seeking a Data Quality Support Analyst to work within the Global Banking COO team at the Kraków Fabryczna Office. In this role, you will maintain high standards of accuracy and consistency in our deal management system, supporting Investment Bankers and collaborating with Business and IT experts.

Your Role

  • Perform data entry, validation, and cleansing activities
  • Verify and create client and contact information
  • Generate reports and summaries to detect trends and data issues
  • Collaborate with subject matter experts to define Global Banking data requirements
  • Identify process gaps and contribute to developing effective solutions
  • Spot automation opportunities to streamline workflows
  • Adhere to SLAs and comply with UBS policies

Your Team

You will join a globally present team that manages the internal deal management system, working closely with Investment Bankers in a collaborative environment. Flexible working hours are offered, with start times between 7:00 am and 10:00 am.

Your Expertise

  • Fluent written and spoken English and strong MS Office skills
  • Excellent communication, attention to detail and analytical skills
  • Ability to take ownership and prioritize tasks
  • Willingness to learn and apply automation techniques
  • Competency in Business Objects is an asset

Key skills/competency

  • Data Entry
  • Data Validation
  • Data Cleansing
  • Reporting
  • Automation
  • MS Office
  • Business Objects
  • Analysis
  • Attention to Detail
  • Team Collaboration
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How to Get Hired at UBS

🎯 Tips for Getting Hired

  • Research UBS culture: Understand their global banking operations and values.
  • Customize your resume: Highlight data quality and analytical skills.
  • Tailor your application: Focus on data management experiences.
  • Prepare for interviews: Be ready to discuss process improvement examples.

📝 Interview Preparation Advice

Technical Preparation

Review data validation techniques.
Practice SQL and data analysis tools.
Familiarize with Business Objects reporting.
Explore automation software basics.

Behavioral Questions

Describe a time you solved a data issue.
Explain handling tight deadlines in a team.
Share an example of process improvement.
Discuss working with diverse global teams.

Frequently Asked Questions