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Manager, Data Analytics (IT) at Rose Avenue Group

Rose Avenue Group
Full-time
On-site
Key Duties & Responsibilities:

Data Infrastructure & Platform Management


Manage the bank's data warehouse, data lakes, and analytics platforms.
Ensure data systems are reliable, scalable, and secure.
Oversee integration of core banking, digital channels, CRM, and other systems into centralized data repositories.
Monitor data pipelines, ETL processes, and system performance.


Analytics Tools & Applications


Administer BI and analytics tools (e.g., Power BI, Tableau, SAS, SQL-based platforms).
Provide technical support for dashboards, reports, and advanced analytics models.
Implement role-based access and ensure secure use of analytics platforms.
Optimize performance of analytics queries and reporting systems.


Data Governance & Compliance


Enforce data quality, consistency, and governance policies across IT systems.
Ensure compliance with Data Protection Act 2019, CBK reporting requirements, and international standards (e.g., GDPR).
Collaborate with Compliance and Risk teams to ensure regulatory reports are accurate and timely.
Maintain metadata, data dictionaries, and master data management practices.


Business Support & Collaboration


Partner with business units (Finance, Risk, Marketing, Operations) to translate business requirements into IT-driven data solutions.
Support advanced analytics use cases, including fraud detection, risk modeling, and customer segmentation.
Provide data extracts and reports for audits, compliance, and management decision-making.
Train business users on the use of analytics tools and self-service reporting.


Innovation & Continuous Improvement


Explore emerging technologies such as AI, ML, and automation to improve analytics capability.
Propose enhancements to data architecture to improve efficiency and accuracy.
Lead projects for data platform upgrades, migrations, or new analytics implementations.


Other Requirements

Qualifications & Experience:


Bachelor's degree in Information Technology, Computer Science, Data Engineering, or related field.
Master's degree in Data Science, IT Management, or Business Analytics is an added advantage.
Professional certifications such as Microsoft Data Engineer, CDMP, SAS, or SQL/BI certifications.
Minimum of 7 years in IT data management, BI, or analytics roles, with at least 3 years in management.
Experience supporting analytics in a financial services environment.
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