Overview
We are seeking a skilled and experienced Database Manager with strong technical capabilities and a background in finance. This role combines data management, analysis, reporting, and client support within a cloud-based environment (Microsoft Azure). The ideal candidate will be adept at uncovering insights from complex datasets, developing dashboards in Power BI. In addition to technical proficiency, the role requires strong communication skills to convey analytical findings to both technical and non-technical stakeholders, along with a proactive mindset for continuous improvement and process optimization.
Duties
Include but are not limited to:
- Collect, clean, and organize data from various internal and external sources.
- Maintain and update data systems and databases.
- Manage and troubleshoot issues within Microsoft Azure environments.
- Provide technical support via Microsoft Teams and phone.
- Perform routine server support and system maintenance tasks.
- Use ticketing systems (e.g., Jira) to log, track, and resolve incidents.
- Ensure all support is delivered within agreed Service Level Agreements (SLAs).
- Document technical procedures and contribute to internal knowledge bases.
- Analyse large financial datasets to identify trends, anomalies, and actionable insights.
- Support feature engineering and evaluate model performance.
- Implement and monitor anomaly detection systems across business units.
- Create and maintain dashboards and reports using Power BI and Excel.
- Present findings and insights in a clear and visually effective manner to stakeholders.
- Liaise with cross-functional teams to understand data requirements and business goals.
- Work closely with data engineers, analysts, IT, and business users to deliver data-driven solutions.
- Translate technical findings into non-technical language for broader understanding.
- Identify opportunities to improve data workflows and operational efficiencies.
- Stay current with industry best practices and emerging tools/technologies in data analytics.
Essential Skills
The following are desirable
- Bachelor’s degree in Data Science, Statistics, Finance, Economics, Computer Science, or a related field
- Minimum 5 years of experience in data analysis, within the finance industry
- Transformative approach to leadership that inspires and empowers others
- SQL and Python proficiency (including pandas, matplotlib, scikit-learn)
- Experience in using Microsoft Azure
- Power BI and data visualization expertise
- Strong financial data analysis and anomaly detection skills
- Hands-on experience with Microsoft Azure services
- Clear communication and ability to explain technical concepts to non-technical stakeholders
Job Type: Full-time
Work Location: In person
Application Deadline: 02/07/2025
