unresolved calls are escalated to the correct stakeholders. KEY RESPONSIBILITIES: Handle incoming calls Manage outbound calls Handle all inbound & outbound customer interactions Answer incoming calls within Service customers to provide installation and training Outbound calls to customers to provide feedback on queries Educational / N an advantage Professional Qualifications Call Centre / Financial Services experience will be an added added advantage Years of Experience 1 – 2 Years Call Centre experience will be an advantage Other requirements
Reference: NFP014178-RDL-3 Are you a skilled data enthusiast with a knack for business analysis? We are talented individual to join our client's team as a Data Analyst Job Description: Join a leading financial products and processes under analysis Investigate data integrity issues alongside the wider team and propose propose viable solutions Communicate complex data insights to both technical and non-technical stakeholders teams to develop data-driven solutions and strategies Establish and implement data validation protocols
these
Prepares, transforms, models data and resolves conflicting sources of data and anomalies Supports the delivery including Agile ceremonies Implement methods to improve data reliability and quality Combines raw information formats Develop and test architectures that enable data extraction and transformation for predictive or Cooperate with the Business Analyst, Data Architect and Data Visualisation Developer throughout these in extracting value and features from large scale data and toolsets Modern code development practices Extensive
Dynamic Team Are you passionate about transforming raw data into actionable insights? Do you have a knack for perfect opportunity for you We are seeking a talented Data Analyst with a flair for visualization to join our collaborate with cross-functional teams to drive data-driven decisions. Key Responsibilities: Analyze Utilize cutting-edge visualization tools to present data in a clear and impactful manner. Collaborate with updated on industry trends and best practices in data analysis and visualization. Qualifications: Bachelor's
Are you passionate about transforming raw data into actionable insights? Do you have a knack for creating
opportunity for you!
We are seeking a talented Data Analyst with a flair for visualization to join our
collaborate with cross-functional teams to drive data-driven decisions.
Key Responsibilities:
Utilize cutting-edge visualization tools to present data in a clear and impactful manner.
Collaborate
updated on industry trends and best practices in data analysis and visualization.
Qualifications:
Dynamic Team Are you passionate about transforming raw data into actionable insights? Do you have a knack for perfect opportunity for you We are seeking a talented Data Analyst with a flair for visualization to join our collaborate with cross-functional teams to drive data-driven decisions. Key Responsibilities: Analyze Utilize cutting-edge visualization tools to present data in a clear and impactful manner. Collaborate with updated on industry trends and best practices in data analysis and visualization. Qualifications: Bachelor's
insurance space is on the lookout for a AWS Data Cloud Engineer (big Data Engineer)Â
Knowledge
perform data quality checks in a methodical manner to understand how to accurately utilize client data.
partner is looking for a highly analytical Fraud Data Scientist to join their team Job Description: A A leading financial institution is seeking a Data Scientist to join their fight against fraud. In this use your expertise to uncover hidden patterns in data and develop solutions that empower better decision-making Expertise: Provide deep knowledge and guidance for future data-driven projects focused on fraud and analytics. industry-wide and for individual clients. Data Management & Quality: Manage data quality issues related to fraud
partner is looking for a highly analytical Fraud Data Scientist to join their team Job Description: A A leading financial institution is seeking a Data Scientist to join their fight against fraud. In this use your expertise to uncover hidden patterns in data and develop solutions that empower better decision-making Expertise: Provide deep knowledge and guidance for future data-driven projects focused on fraud and analytics. industry-wide and for individual clients. Data Management & Quality: Manage data quality issues related to fraud