Analyst Data Management- Wholesale KYC Operations (WKO) Data and Reporting

Join a high-visibility Data & Reporting team delivering operational regulatory and executive reporting at scale. Youll build core technical skills across enterprise data stores and modern analytics platforms while producing audit-ready outputs. Youll also gain exposure to AI/ML concepts and automation opportunities in a fast-paced regulated environment.

As an Analyst Data Management within the WKO Data & Reporting team you will execute data extraction reporting and analysis activities under the guidance of senior team members. You will contribute to audit-ready operational regulatory and executive reporting while expanding technical capability across OSKAR EDH and other WKO data stores. You will support modern platform adoption and learning initiatives including Databricks and foundational AI/ML-related tasks with a strong commitment to quality and delivery.

• Support creation and maintenance of dashboards and reports using Tableau QlikView/Qlik Sense and SAP BusinessObjects.
• Write and maintain SQL queries to extract validate and transform data for reporting needs.
• Assist with Python scripts and Alteryx workflows to improve repeatability and data preparation.
• Contribute to Databricks engineering tasks and help maintain data pipelines under senior guidance.
• Prepare datasets for AI/ML initiatives and validate outputs to support controlled adoption.
• Collaborate with stakeholders to gather requirements and deliver recurring and ad-hoc reporting on time.
• Maintain data quality documentation and support lineage tracking across WKO data stores.
• Identify data quality issues and escalate appropriately while contributing to remediation activities.
• Document processes and control steps to strengthen audit readiness and operational resilience.
• Automate manual reporting activities to reduce redundant data sources and improve efficiency.
• Track delivery commitments and communicate progress risks and dependencies to the team.

• Earn a Bachelors degree and bring minimum 1 year of experience in data management analytics or reporting (including internship/co-op).
• Demonstrate foundational proficiency in SQL Excel and Oracle for data analysis and reporting support.
• Apply working knowledge of Python SAP BusinessObjects or SQL Developer to assist in reporting and extraction tasks.
• Use BI tools such as Tableau QlikView/Qlik Sense or Alteryx to support dashboards and workflows.
• Understand basic AI/ML concepts and show willingness to learn emerging data technologies.
• Maintain strong attention to detail and an analytical mindset while following structured processes.
• Communicate clearly in writing and verbally while documenting work and collaborating to meet deadlines.

• Show interest in KYC AML or financial services data through coursework or early experience.
• Apply exposure to ETL concepts data pipelines or data control frameworks in academic or professional work.
• Leverage familiarity with Databricks Delta Lake or similar platforms through projects or early-career roles.
• Explore AI/ML applications such as data quality scoring anomaly detection or process automation use cases.
• Strengthen team outcomes through proactive collaboration and a strong feedback-seeking mindset.
• Adapt quickly in a fast-paced regulated environment while maintaining high quality standards.
• Contribute ideas for automation and standardization that reduce manual effort and improve reporting consistency.