Overview
Leads the Data Analysis and Business Applications Team, providing strategic advice and guidance on data optimization, analysis, and management to support decision-making and innovation.
Tasks Summary
- Provide strategic advice and guidance on the development and implementation of databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
- Guide team members to identify, analyse, and interpret trends or patterns, using statistical methods to identify relevant features and variables in structured and unstructured sources of information and data.
- Provide direction and guidance on the full data lifecycle analysis including data requirements, activities and design.
- Guide the development of data analysis prototype solutions and lead their full implementation.
- Conceptualize and guide the creation of data management tools for analytics and data scientist teams to better build and optimize products.
- Develop and review procedures to ensure the optimal extraction, transformation, and loading of data from a range of sources into existing data pipelines.
- Define organizational needs and translate them to strategic reporting documents ensuring alignment with broader goals while overseeing quality and strategic integration of analytics into decision-making.
- Define the strategic objectives for data infrastructure across the organization, ensuring alignment with overarching goals and the efficient use of datasets, lead cross-departmental collaborations to shape and steer data engineering projects.
- Guide the implementation of changes to data systems to ensure compliance with data governance, protection, privacy, and security requirements in collaboration with key stakeholders.
- Regularly review and provide guidance on updates to data governance, protection, and security requirements.
- Guide effective documentation of requirements, processes, and solutions to ensure process orientation, transparency, collaboration, and ongoing development enabling the team to understand, maintain, and build upon the completed works.
- Define strategic vision for data visualization within the organization, ensuring visual communication aligns with broader organizational goals and effectively conveys insights to decision-makers and stakeholders.
- Manage strategy development for key data analytics projects and oversee strategy execution. Ensure that appropriate processes and techniques for each project are used by team members.
- Provide guidance on the development and dissemination of outreach and communications materials to enhance visibility and foster collaboration.
- Collaborate with management to prioritize organizational data analytics and information needs.
- Communicate complex data concepts and share analysis findings and insights in a clear and understandable manner to non-technical stakeholders.
- Direct the strategic application of data science across the organization, ensuring initiatives align with overarching goals to foster innovation and operational excellence.
- Keep abreast of the current and emerging trends and developments in data analytics best practices, technologies and tools to determine areas of improvement in the organization.
- Review implemented data analytics models against technical and strategic criteria to ensure alignment with global best practices and policy while fostering sustainable and scalable solutions to global challenges.
- Provide direction and guidance on activities aimed at building capacity of staff on data analytics, including trainings for staff members and other personnel.
- Provide guidance on the design and/or delivery of the trainings and workshops on data analytics tailored to different audiences as appropriate.
- Plan and direct the work plan on data analysis, providing both methodical and managerial supervision of all activities.
- Manage and coordinate the activities of the team, including hiring, training, assigning tasks and responsibilities, evaluating performance, and ensuring that deadlines are met.
- Plan and manage required resources to implement the responsibilities, projects, and activities.
- Oversee and mobilize resources to the building of analysis, reporting and quality control capabilities within the organization.
- Lead data analytics responsibilities for external and internal audits.
- Provide guidance to team members to promote professional development and a positive team culture.
Experience Requirements
- A minimum of ten years of progressively responsible experience in data manipulation and data analysis such as data structures, statistical methods, etc. is required.
- At least ten years of experience in the data life cycle including data collection, data wrangling, analysis, visualization, deployment, monitoring, and reporting is required.
- At least five years of experience managing large organization-wide projects with a proven ability to think critically, analytically, communicate complex and technical matters to diverse audiences and to troubleshoot complex data problems is required.
- At least five years of experience in using data to guide decisions, develop strategic direction, and oversee execution is required.
- Experience translating business requirements into technical solutions in the financial sector is required.
Qualification Requirements
Advanced university degree (Master’s degree or equivalent) in computer science, data science, analytics, statistics, information management, public administration, management or a related field. A first-level university degree in combination with qualifying experience may be accepted in lieu of the advanced university degree.