Reference: NFP014178-RDL-2 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
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
Reference: NFP014178-RDL-2 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
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
Transform Data into Action: Become our MDU Analyst and Drive Success The MDU (Master Data Universe) Analyst direction for maintaining and optimizing the Master Data Universe, a crucial database central to operational outreach times. Data Enrichment and Analysis : Oversee data enrichment efforts and analyse data to provide Continuous Improvement : Stay updated with the latest data management technologies and methodologies, continuously Statistics, Data Science, or a related field. Experience : 5 years in data analysis, data management,
Transform Data into Action: Become our MDU Analyst and Drive Success The MDU (Master Data Universe) Analyst direction for maintaining and optimizing the Master Data Universe, a crucial database central to operational outreach times. Data Enrichment and Analysis : Oversee data enrichment efforts and analyse data to provide Continuous Improvement : Stay updated with the latest data management technologies and methodologies, continuously Statistics, Data Science, or a related field. Experience : 5 years in data analysis, data management,
charge in analysing, interpreting, and presenting data, influencing critical decisions across debt collection Develop, maintain, and optimize SQL databases. Ensure data accuracy and integrity. Frontend Visualization: and reports. Ensure accessibility and accuracy of data visualizations. Business-Technical Liaison: Bridge strategic goals. Provide strategic advice based on data insights. Management and Leadership: Lead and mentor
charge in analysing, interpreting, and presenting data, influencing critical decisions across debt collection Develop, maintain, and optimize SQL databases. Ensure data accuracy and integrity. Frontend Visualization: and reports. Ensure accessibility and accuracy of data visualizations. Business-Technical Liaison: Bridge strategic goals. Provide strategic advice based on data insights. Management and Leadership: Lead and mentor
proficiency in Excel, including complex formulas and data analysis. Strong background in reconciliations. Responsibilities: Perform advanced Excel tasks and manage large data sets efficiently. Conduct strong reconciliations
proficiency in Excel, including complex formulas and data analysis. Strong background in reconciliations. Responsibilities: Perform advanced Excel tasks and manage large data sets efficiently. Conduct strong reconciliations