Description Duties: Strong business analysis skills with exposure to business intelligence and analytics analytics Understand and document business requirements and business processes Provide input and document proposed and solutions to meet the business requirements Understand and document data requirements for the project End to end data migration from existing catalogue to align to new career architecture Data mapping, analysis analysis, reconciling data outliers Completing data gaps Interpreting and structuring data sets Addressing
and insurance—is seeking a tech-savvy Intermediate Business Analyst. This powerhouse is not just growing their growth. Dive into gathering and documenting business requirements, crafting BRDs, and delivering impactful financial services or related fields, you'll bridge business needs with tech solutions. Ready to make a significant
Business Data Analyst Location: western cape Contract: 6 month (hybrid role) Proficient in business analysis analysis with a focus on business intelligence and analytics. Capable of proposing and documenting services and solutions to align with business requirements. Skilled in end-to-end data migration to support new career architecture. Experienced in data mapping, analysis, and resolving data anomalies. Provides analytical analytical solutions to address specific business challenges and prepares reports. Apply at careersrooftoprecruitment
Description Duties: Strong business analysis skills with exposure to business intelligence and analytics analytics Understand and document business requirements and business processes Provide input and document proposed and solutions to meet the business requirements Understand and document data requirements for the project End to end data migration from existing catalogue to align to new career architecture Data mapping, analysis analysis, reconciling data outliers Completing data gaps Interpreting and structuring data sets Addressing
Business Analyst – Intermediate Qualification: ● Grade 12 ● Business Analysis qualification ● Short term process and operations ● Personal lines ● 3 years Business Analysis experience ● Insurance domain knowledge challenges ● Provide 3rd line incident support to business ● Accountability of own tasks – ability to self requirements are implemented correctly ● Liaise with business stakeholders to obtain sign-off of changes (Fix release notes of change for production in support of business readiness. ● Provide test requirements to testers
methodology. Ensure the projects technical and business feasibility by clearly defining the project purpose and Quality team to maximise project quality and business value. Conduct and capture project lessons learnt projects in Africa Business Acumen Qualifications: Project Management qualification Business Management qu
Join Our Client's Team as a CRM Commercial Data Analyst Our client, a leading global hygiene and health company, is excited to welcome a CRM Commercial Data Analyst to their team in Johannesburg. In this role improve sales & marketing productivity for the business. You will be responsible for leading, directing the development of a data-driven performance mindset/way-of-working across Business Unit by maximizing practices. Requirements: Degree preferably in Business Administration, Statistics, or Economics 5 years
is in need of a Data Analyst who will be responsible for actively identifying any data conflicts and patterns ensure we have data accuracy, integrity and the best possible datasets for our reports. Data Gathering: Collect Collect data from various sources, ensuring accuracy and completeness. Data Cleaning: Pre-process and and clean data to prepare it for analysis, which might involve handling missing values, outliers, and inconsistencies inconsistencies. Data Analysis: Utilise SQL to query databases and extract relevant information for analysis
R 10,000 per month The post Graduate Trainee Data Analyst appeared first on freerecruit.co.za .
you enjoy telling stories through data and working with large data sets? Our Sales Planning team is looking and procedures to pull data for analysis • Construct efficient multi-threaded data models from large datasets datasets • Create visual representations of data for executive reporting • Build dashboards for daily operational trends and patterns in the customer behaviors • Make data backed recommendations on Contact Center programs reporting and data processing • Correlate omnichannel data for KPI tracking • Create and maintain data repositories