Duties & Responsibilities
- Key Job Outputs : Data Management
- Maintaining our data dictionary in conjunction with our data stewards.
- Providing necessary insights to improve the quality of our data.
- Ensuring that necessary data is provided in the agreed format to reporting and analytics teams.
- Agreeing with the analytics teams on necessary data elements.
- Maintaining a Data Dictionary and Business Glossary.
- Translating data meaning and context for reporting and analysis teams, emphasizing Credit and Sales.
- Deep understanding of the Production system mechanics of each of our product flows.
- Understanding how Salesforce is implemented.
- Managing database objects, fields, and their relationships.
- Providing detailed information on database changes.
- Stakeholder Communication and Change Management: Ensuring that the requirements of the data consumers are clearly understood by the technology teams; communicating any changes to production data clearly to data consumers; communicating across all departments, especially Credit and Technology Teams.
- Data Lake / Warehousing Management: Understanding how system enhancements impact the data warehouse; implementing new solutions and flows; extracting and transforming data from different systems; qualifying and scoring data, providing quality and accuracy reports; monitoring the data warehouse to ensure all data flows are running as scheduled.
- Data Quality Management: Moving data for updates on the system; updating records with external data; providing data stewards with agreed quality metrics; cleaning bad data when identified.
- Data Lake Maintenance: Ensuring necessary data elements are consistently updated from production.
Core Competencies
- Technical skills in Java-script, ETL experience, and SQL.
- Knowledge of the business analysis process.
- Communication: Clear, structured written communication; ability to communicate effectively across different levels of the business.
- Problem Solving: Structured approach to problem-solving and delivery.
- Planning and Organising: Organizing activities to ensure timely completion.
- Service Delivery and Excellence: Completing work appropriately to meet the needs of internal colleagues and external clients.
- Self-Management: A high degree of self-management and initiative is expected.
Desired Experience & Qualification
- Qualifications: Post-matric technology qualification.
- Experience: 3 - 6 years of Data engineering and BI experience, including data extraction, transformation, and loading.
- 2 years of data dictionary development and maintenance.
Salary : Market related.
Should you not hear from us within 2 weeks, kindly consider your application as unsuccessful.
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