Reference: NFP014495-AND-1 Join Our Team as a Senior Collections Analyst Are you ready to lead, innovate, and dynamic Senior Collections Analyst to spearhead the development and optimization of our collections function will drive strategic growth, model development, and data-driven decision-making. Key Responsibilities: Model life cycle. Risk Analysis: Examine portfolio-level data to pinpoint key risk factors and formulate solutions and review monthly targets, working with the BI data team to ensure successful dashboard implementation
telecommunication industry is looking for a Retentions and Collections Lead, this is a great opportunity to Build Your Your Dream Team Lead Retention and Collections and Drive Customer Success!" This individual will strategies to optimize customer retention and manage collections processes from start to finish. Must have a strong strong background in retention and collections management. It is a 12-month contract
Reference: NFP014495-AND-1 Join Our Team as a Senior Collections Analyst Are you ready to lead, innovate, and dynamic Senior Collections Analyst to spearhead the development and optimization of our collections function will drive strategic growth, model development, and data-driven decision-making. Key Responsibilities: Model life cycle. Risk Analysis: Examine portfolio-level data to pinpoint key risk factors and formulate solutions and review monthly targets, working with the BI data team to ensure successful dashboard implementation
a highly motivated and detail-oriented Financial Data Analyst to join our clients' team. In this role you will be responsible for analyzing financial data, generating insights, and providing actionable recommendations a related field Proven experience as a Financial Data Analyst or in a similar role Proficiency in financial skills Strong knowledge of statistical analysis and data visualization tools (e.g., Excel, Tableau, Power industry Key Responsibilities: Collect, analyze, and interpret financial data to support business decision-making
hospitality and entertainment industry is seeking a Data Engineer. In this role, you will manage projects into potential technology innovations, delivering a data architecture that supports future business growth including customers, staff, and gambling boards. As a Data Engineer, this role will allow you to work on large-scale of experience as a Data Engineer. Minimum of 3 years of experience building data pipelines including SSIS, data migration, and integration. Knowledge of building data dictionaries and dimensional data models
/>
Data Quality Management:
Develop and implement a data quality framework
completeness, and consistency of data within Global Markets.
Establish data quality standards, metrics
improve data quality.
Provide guidance and support to data owners and stakeholders on data quality
/>Data Governance:
Implement data governance frameworks, including data attestation
attestation and data lineage, to ensure the integrity, security, and usability of data assets within Global Markets
company is currently looking for a Sales Manager (Data Centre) based in Fourways. The Sales Manager will working experience in sales within a collocation Data Centre Telecommunication industry.
reliability; efficiency and security of enterprises data. Job Responsibilities · Build and maintain stakeholder database activity and ensure efficient access to data. · Resolve work obstacles by providing input in
Requirements: Sound knowledge in Python and Java Data Science concepts and principles Experience in tools applications. Architecture and Interface Design. Data modeling and Database technologies (relational,
Reference: ITE006125-KN-1 Elevate Your Career as a Data Engineer Are you ready to take on an exciting new challenge and make a significant impact in the world of data engineering? We're looking for a talented and driven Optimize Data Pipelines Lead the design, development, and management of both cloud and on-premises data pipelines accurate, efficient, and cost-effective data systems that support data scientists, analysts, actuaries, and other key initiatives. Ensure Data Quality and Consistency Implement robust data validation processes to maintain