Lead Business Functional Analyst

Deutsche Bank

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Quick summary

Work type
On-site
Location
Cary, NC
Posted
75 days ago
Freshness
Confirmed live today

Market check

Salary context

How this pay compares to similar roles

Similar $161k
$110k $205k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $136,750–$184,900.

Based on 240 similar postings.

Employer

About Deutsche Bank

Deutsche Bank is a German multinational investment bank and financial services company offering corporate banking, investment banking, retail banking, asset management, and transaction banking worldwide. Industry: Investment Banking & Financial Services

Deutsche Bank currently has 53 open roles on FindRole.

Listed pay typically runs $113,599–$140,000 across 29 roles with salary data.

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At a glance

TL;DR · Lead Business Functional Analyst

The Lead Business Functional Analyst joins the team to implement information technology solutions for a global financial institution in a client-facing capacity. The role involves defining and implementing cloud-based solutions while maintaining security posture and guardrails. Key responsibilities include providing data analytics, implementing AI-driven solutions, and streamlining cloud onboarding activities. The candidate will utilize technologies such as Google Cloud Platform, Cloud SQL, BigQuery, and RDBMS. Technical tasks involve using BQ ML, Docker, GitHub Actions, Kubernetes, and supporting microservices and API development across GCP and Azure. Additionally, the position requires supporting legal and operational compliance using in-house frameworks and utilizing Collibra for data governance and application monitoring. This role specifically addresses technical and business problems within the financial services industry.

What you'll do

  • Implement cloud-based solutions using Google Cloud Platform (GCP) frameworks.
  • Maintain cloud guardrails and security posture for financial services.
  • Provide data analytics using Cloud SQL, BigQuery, and RDBMS for client management.
  • Implement AI-driven solutions using BigQuery ML to support business intelligence.
  • Streamline cloud onboarding activities using containerization tools like Docker.
  • Integrate CI/CD pipelines with GitHub Actions and deploy using Kubernetes.
  • Support microservices and API development across GCP and Azure platforms.
  • Utilize Collibra and other tools to monitor data governance and archival policies.

What we're looking for

  • Master’s degree in Information Systems, Computer Science, or a related field or equivalent.
  • Two years of experience working within the financial services industry.
  • Experience defining and implementing cloud-based solutions using Google Cloud Platform (GCP) frameworks.
  • Experience maintaining client relationships using data analytics with Cloud SQL, BigQuery, and RDBMS.
  • Experience implementing AI-driven solutions using BigQuery ML to support business intelligence.
  • Experience streamlining cloud onboarding using containerization tools like Docker.
  • Experience integrating CI/CD pipelines with GitHub Actions and deploying with Kubernetes.
  • Experience supporting microservices and API development in GCP and Azure.

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