Senior Global Data & Analytics Engineer

Global Payment Holding Company

Greater London

On-site

GBP 70,000 - 110,000

Full time

2 days ago
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Job summary

Global Payment Holding Company is seeking a Senior Database Analyst to join the Enterprise Big Data Solutions team and help shape the future of global commerce. You will own end-to-end data solutions from requirements to sign-off, engaging stakeholders and guiding development teams toward delivery.

You will be hands-on with SQL, SSMS/SSIS and Oracle DB design, while also communicating clearly with business partners, translating complex needs into practical data products and ensuring data quality

Qualifications

  • Extensive experience translating complex business requirements into practical data solutions.
  • Excellent communication, able to tailor results to the audience.
  • Strong analytical and problem-solving skills with attention to detail.
  • Willingness to learn and adapt with a positive attitude.

Responsibilities

  • Partner with business teams to understand goals and drive value through data/analytics capability and technology.
  • Identify and develop opportunities to improve existing analytical & data solutions.
  • Deliver industry best practice data products and solutions.
  • Take personal responsibility for the quality of individual deliverables and contribute to QA of the team's deliverables.
  • Pro-actively contribute to troubleshooting of data requirements, data modeling, data quality and data governance issues with the wider EBDS Team.

Skills

SQL
SSMS/SSIS
Oracle database design
Analytical thinking
Communication skills

Tools

Salesforce

Job description

Global Payment Holding Company is seeking a Senior Database Analyst to join the Enterprise Big Data Solutions team and help shape the future of global commerce. You will own end-to-end data solutions from requirements to sign-off, engaging stakeholders and guiding development teams toward delivery.

You will be hands-on with SQL, SSMS/SSIS and Oracle DB design, while also communicating clearly with business partners, translating complex needs into practical data products and ensuring data quality

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