Job Ref. No. JLIL367

Role Purpose

• The role holder will be responsible for assessing, monitoring, and improving data quality standards and processes to support informed decision-making, regulatory compliance, and operational efficiency. They will ensure the accuracy, completeness, and integrity of data assets.

Main Responsibilities

• Provide support in analysing business data to equip management and stakeholders with insights that align with departmental and overall business objectives.
• Assist in identifying, analysing, and interpreting trends and patterns in complex data sets to generate insights that guide business actions.
• Consolidate, interpret, and present data in reports and dashboards for Executives, Team Leads, and End Users, with a focus on acquisition and financial information.
• Produce reports and dashboards using Microsoft Power BI, SSRS, and other data tools.
• Define and document customer business processes and reporting needs, including business process diagrams, data maps, and data models.
• Conduct proactive research on integrating new technologies for advanced analytics, including (but not limited to) Power Flow, PowerApps, and Machine Learning.
• Provide Power BI Desktop and Cloud platform support, including gateway configuration and administration.
• Demonstrate strong DAX, data modelling, and basic M (Power Query Editor) capabilities.

Key Competencies

• Critical Thinking and Analytical Orientation: Demonstrates the capacity to evaluate information logically and support data-driven decisions.
• Strong Business Judgment: Shows the capability to understand business needs and offer sound, practical recommendations.
• Problem-Solving: Possesses the skill to identify issues quickly and propose effective solutions.
• Teamwork and Collaboration: Exhibits the aptitude to work well with others and contribute to achieving shared goals.
• Communication Skills: Displays the competence to convey information clearly to both technical and nontechnical audiences.

Relevant Qualifications and Experience

• Bachelor’s degree in Business Management or in a quantitative field such as Mathematics, Statistics, Engineering, Actuarial Science, Computer Science, Economics, or Finance.
• Familiarity with data visualization tools such as Power BI and Tableau.