We have an opportunity for a Senior Data Analyst to join our team based in the Isle of Man on a permanent basis. ​

Who We Are

Nedbank Private Wealth is a multi-award-winning private bank and wealth manager headquartered in the Isle of Man, with branches in London, Jersey and a representative office in the UAE. The company provides a full international wealth management offering through its wealth planning, investment management, and banking services, to both business and private clients worldwide.

All our people are expected to consistently demonstrate our 6Cs, Collaboration, Curiosity, Courage, Client Impact, Can Do Attitude and Completeness.​

Job Purpose

The role holder will engage with business users to understand their requirements then model and prepare statistical queries or visual representations and dashboards that provide the necessary evidence and assurance to solve business queries. Understanding and preparing data to support business decision making is a key element of this role and involves data wrangling, cleansing, enrichment and feedback on data quality to resolve issues in production or test systems which impact the analysis.

Responsibilities & Duties

Data Management & Quality:

• Establish and manage key data management competencies such as data quality assurance, metadata management, master data management, and data modelling.
• Support data governance controls and business data owners to maintain high-quality data across the organization.
• Support data governance and control frameworks to maintain data quality and data integrity.
• Document and maintain source-to-target mappings, data flows, and data definitions, ensuring compliance with data standards and strategy.
• Design and facilitate user self-service of tactical data requests and report working with data analysts and business users.

Data Insights & Analysis:

• Engage with business stakeholders to understand their requirements, translating these into actionable data insights, dashboards, and reports.
• Re-engineer manual data flows for scalability and improved efficiency in reporting working with other departments such as IT to build effective data capture in source systems to meet analytical requirements.
• Build accessible datasets for self-service analysis and ensure the organization is equipped with the right data infrastructure.
• Build our advanced analytics capability using tools such as Python, PySpark, Machine Learning utilising statistical data techniques.

​Team Collaboration & Development:

• Collaborate with Data Analysts, Data Quality Managers, and other teams to ensure successful implementation of our data analytics function.
• Monitor team workflows, resource allocation, and project progress, while ensuring team members' professional development through training and development.

​Behavioural Competencies

• Excellent communication skills, communicating between technical and non-technical stakeholders.
• A proactive, innovative thinker with meticulous attention to detail.
• Ability to multitask, manage time efficiently, and adapt to changing priorities.
• Ability to develop strong relationships within the company and with third parties.
• Collaborative team player, comfortable interacting with stakeholders at all levels.
• Committed to continuous improvement and personal development.
• A positive flexible approach to work.
• Good time management skills and ability to multitask.

• Proven experience in a Data Analyst (or similar) role.
• Experience in leading technical teams.
• Advanced data visualisation and report creation skills (Power BI reports and dashboards).
• Advanced working knowledge of Microsoft Excel.
• Data cleansing and data enrichment experience.
• Advanced knowledge of SQL data queries and joins.
• Knowledge and experience in data governance.