Data Translator (Senior Data Analyst)

Minimum of 10 years of experience in data analysis, business intelligence, of Insurance servicing applications/ systems. Strong understanding of data analysis methodologies, statistical techniques, and data visualization tools (e.g., SQL, Power BI). Excellent problem-solving skills, with the ability to identify root causes, develop creative solutions, and drive implementation. Strong project management skills, with the ability to plan, organize, and manage multiple projects simultaneously. Excellent communication and presentation skills, with the ability to effectively communicate complex information to both technical and non-technical audiences. Ability to work independently, manage time effectively, and prioritize tasks in a fast-paced environment. Experience with cloud-based data platforms (e.g., AWS, Azure, GCP). ROLE DETAILS Role Name Data Translator Job Family Digital, Data and Analytics Business OMSA Key Focus The incumbent to this role will map, understand and document internal and external data sources which will be made available for consumption by the organisation through close collaboration with the data engineering team who will be adding the data to enterprise the data lake. The incumbent is individually accountable for achieving results over periods of up to a year. Level of Work Service Role Size Digital, Data and Analytics.O.OMSA Employment Equity Category NQF Level - Qualification Information IT/Statistical related degree/diploma or 8 or more years technical or data/business/system analysis related experience. Market Job Codes - CCM Level Manager of Self LINKED ROLES Linked Role Linked Type Senior Data Analyst Lesser Role Size KEY RESULT AREAS Key Result Area Accountability Operational Efficiency Assess internal and external data sources to understand what data is useful to the organisation. Develop an in-depth understanding of the data source and map the data contents to business requirements. Enable the data engineers with business context to build solutions using the identified data. Create metadata maps (Source-to-target maps) that will enable business to understand the contents of the data source. Test the data constructs to ensure that the data pipelines apply business rules and mappings correctly. Provide thought leadership with regards to the possible usage of the data. Translate business needs into functional system requirements and manages the entire system development lifecycle to production. Ensure that metadata is captured in the enterprise data catalogue i.e. Alation. Team Effectiveness Individually accountable for managing own time, tasks, and output quality for periods of 6 months to a year Makes increased contributions by broadening individual skills Guides and directs staff to achieve operational excellence standards. Collaborates effectively with others to achieve personal results. Stakeholder Management Provides data translation support to Digital, Data and Analytics as well as various other Business Units. Responsible for building strong working relationships with internal and external clients Communicating and presenting analysis results to key stakeholders across organisational levels Train and upskill stakeholders who want to access data in the data lake ROLE DESCRIPTION Assesses options and proposes solutions in cooperation with senior management which could impact the organisation at a tactical level. Focuses on business imperatives of significant operational importance at a specific point in time. Assess internal and external data sources for their usefulness and do detailed mapping of the source (STTM) to business requirements. Train and upskill potential consumers of the data sources. Documents findings in a detailed STTM for data engineers to consume when working on the data source. Ensure that the STTM is loaded in the enterprise data catalogue i.e. Alation and consumers are aware of the availability of the metadata. Provides ongoing support to data engineers from the ingestion of the data to the delivery of the consumable product e.g., Redshift data warehouse. Provides thought leadership and develops knowledge base within field of expertise. Translates business needs into functional system requirements and manages the entire system development lifecycle to production. Individually accountable for managing own time, tasks, and output quality for periods of 6 months to a year Makes increased contributions by broadening individual skills Guides and directs staff to achieve operational excellence standards. Collaborates effectively with others to achieve personal results. Provides data translation support to Digital, Data and Analytics and various other Business Units. Responsible for building strong working relationships with internal and external clients. Communicating and presenting analysis results to key stakeholders across organisational levels.