Data Analyst

• Key Responsibilities And/or Outputs

• Source, cleanse, refine, and verify data integrity for analysis purposes.
• Extract insights by integrating complex datasets and utilize visualization software for reporting when appropriate.
• Integrate the company's data with third-party data sources, both structured and unstructured, as needed.
• Interpret data, analyze results, and identify trends to drive continuous improvement in data quality and overall business performance.
• Create detailed specifications for data sources, data flows, data transformations, data storage, and reporting.
• Produce documentation such as source-to-target maps, data dictionaries, and data models.
• Develop test cases and scenarios to ensure quality assurance.
• Collaborate with technical and business stakeholders to identify data sources, define data structures, and implement solutions.
• Promote the use of existing enterprise and divisional data standards to enhance data quality and ensure compliance with data governance principles.
• Advocate for reusability, maintainability, reliability, and scalability in designing and developing data solutions.
• Handle live and confidential data in accordance with specified guidelines.
• Evaluate changes and updates to source production systems that may impact reporting and subsequent business decisions.
• Support the bank's strategic objectives by conducting proactive data analysis on available sources and presenting results effectively.
• Present findings and influence decision-making based on extracted value through data intelligence across the organization.
• Design, evaluate, and document processes, leading teams in process reviews and improvement initiatives.
• Provide assistance to fellow team members and business stakeholders on critical projects and ad hoc tasks as required.

• Over three years of experience in data analysis and problem-solving.
• Matric and tertiary equivalent experience, preferably with an ICT-related diploma or degree.
• Experience in RDARR (Risk Data Aggregation and Risk Reporting), BCBS239, or IFRS9.
• Proficiency in Data Quality Management.
• Ability to provide leadership and structure in project environments and teams.
• Knowledge and experience in data frameworks, practices, and tooling (e.g., DAMA, Apache, etc.).
• Experience in database and data warehouse design, including logical and physical data modelling.
• Practical technical skills using database management tools (SQL) and reporting tools (Power BI).
• Strong analytical skills with a deep interest in research.
• Ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Capability to extract actionable insights from raw data to support business objectives.
• Excellent communication skills with the ability to collaborate effectively with various stakeholders and adapt to different project roles.

Deka Minas