To continuously engage with the Data and System Analytics teams to improve the reporting turnaround time at which risk information is made available through automation and deployment/enhancements of risk systems.
To close information gaps (including data quality and data completeness) through initiatives with stakeholders.
Develop and prepare Group-level enterprise risk reports covering Market Risk, Interest Rate Risk and Liquidity Risk for Management and Board-level Committees (ERC, ALCO and RMC), including ad hoc reports for Management, rating agencies and regulators.
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Where required, build advanced stories / analytic applications in SAC using scripting and interactive design features.
Integrate SAP Datasphere with SAP Analytics Cloud using appropriate connection methods and ensure optimized performance, usability, and governed consumption.
Work with business stakeholders to gather, translate, and document analytics and reporting requirements.
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Partner with stakeholders on portfolio, product, and sales initiatives, providing support for business performance, product programs, and performance metrics.
Job Description: We are seeking an experienced SAP Datasphere Consultant with a strong background in SAP Analytics Cloud (SAC) and deep expertise in SAP HANA and/or BW/4HANA. The ideal candidate will have hands-on experience delivering at least one end-to-end SAP Datasphere implementation, with a strong focus on data modelling, integration, and analytics enablement. Key ResponsibilitiesLead and contribute to the design and implementation of SAP Datasphere solutions.Develop, optimize, and maintain data models within Datasphere, including:oAnalytical datasetsoData layers (e.g., staging, business, consumption)oSemantic modeling and relationshipsIntegrate data from various SAP and non-SAP sources into Datasphere.Collaborate with business stakeholders to translate requirements into scalable data models.Design and implement end-to-end data flows, ensuring data quality, governance, and performance.Work in SAC to develop reports and dashboardsSupport data virtualization and replication strategies within Datasphere.Apply best practices in data architecture, modelling standards, and performance tuning.Support in Space Mngt in Datasphere and recommendation on sizing and architectureRequired Skills & ExperienceProven experience with SAP Datasphere, including at least one full lifecycle implementation.Strong expertise in SAP Analytics Cloud (SAC):oStory building, modelling, and live/data import connectionsSolid background in SAP HANA and/or BW/4HANA (minimum 3-5+ years).Deep understanding of data modelling concepts in Datasphere, including:oViews (graphical and SQL)oFact and dimension modellingoBusiness layer modellingoData access controls and semantic usageExperience with data integration techniques (replication flows, data flows, virtual access).Proficiency in SQL and data modelling best practices.Understanding of data warehousing concepts (e.g., star schema, layered architecture).Experience working in agile delivery environments.Preferred QualificationsExperience with SAP BW/4HANA transformations and modelling.Knowledge of SAP Data Intelligence / SAP Integration Suite is a plus.Familiarity with cloud data platforms and hybrid architectures.SAP certifications in Datasphere, SAC, or BW/4HANA are advantageous.Soft SkillsStrong analytical and problem-solving abilities.Excellent stakeholder communication and requirement-gathering skills.Ability to work independently and within cross-functional teams.Proactive mindset with a focus on delivering high-quality solutions.Key Differentiators (Nice to Have)Exposure to governance, security, and data cataloging within Datasphere.SummaryThis role is ideal for a consultant who combines hands-on Datasphere delivery experience with a strong legacy SAP data platform background (HANA/BW/4HANA) and the ability to deliver modern, scalable data models integrated with SAC analytics.
Job Description: We are seeking an experienced SAP Datasphere Consultant with a strong background in SAP Analytics Cloud (SAC) and deep expertise in SAP HANA and/or BW/4HANA. The ideal candidate will have hands-on experience delivering at least one end-to-end SAP Datasphere implementation, with a strong focus on data modelling, integration, and analytics enablement. Key ResponsibilitiesLead and contribute to the design and implementation of SAP Datasphere solutions.Develop, optimize, and maintain data models within Datasphere, including:oAnalytical datasetsoData layers (e.g., staging, business, consumption)oSemantic modeling and relationshipsIntegrate data from various SAP and non-SAP sources into Datasphere.Collaborate with business stakeholders to translate requirements into scalable data models.Design and implement end-to-end data flows, ensuring data quality, governance, and performance.Work in SAC to develop reports and dashboardsSupport data virtualization and replication strategies within Datasphere.Apply best practices in data architecture, modelling standards, and performance tuning.Support in Space Mngt in Datasphere and recommendation on sizing and architectureRequired Skills & ExperienceProven experience with SAP Datasphere, including at least one full lifecycle implementation.Strong expertise in SAP Analytics Cloud (SAC):oStory building, modelling, and live/data import connectionsSolid background in SAP HANA and/or BW/4HANA (minimum 3-5+ years).Deep understanding of data modelling concepts in Datasphere, including:oViews (graphical and SQL)oFact and dimension modellingoBusiness layer modellingoData access controls and semantic usageExperience with data integration techniques (replication flows, data flows, virtual access).Proficiency in SQL and data modelling best practices.Understanding of data warehousing concepts (e.g., star schema, layered architecture).Experience working in agile delivery environments.Preferred QualificationsExperience with SAP BW/4HANA transformations and modelling.Knowledge of SAP Data Intelligence / SAP Integration Suite is a plus.Familiarity with cloud data platforms and hybrid architectures.SAP certifications in Datasphere, SAC, or BW/4HANA are advantageous.Soft SkillsStrong analytical and problem-solving abilities.Excellent stakeholder communication and requirement-gathering skills.Ability to work independently and within cross-functional teams.Proactive mindset with a focus on delivering high-quality solutions.Key Differentiators (Nice to Have)Exposure to governance, security, and data cataloging within Datasphere.SummaryThis role is ideal for a consultant who combines hands-on Datasphere delivery experience with a strong legacy SAP data platform background (HANA/BW/4HANA) and the ability to deliver modern, scalable data models integrated with SAC analytics.
To lead discussions on high level solution design for medium to complex level enhancements, perform effort estimations for enhancements and ensure all considerations are taken for the end-to-end solutioning, to build, test, deliver the enhancements within the agreed timeframe and with quality.
To maintain documentation according to firm standards, best practices, and standard operating procedures
To fully comply with and adhere to all the standard AMS process & procedures that are developed.
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Ensure payroll and statutory reporting and payments are processed with high accuracy and timeliness according to our SLAs and local legal requirements.
Ensure data quality and data integrity for Payroll and HR data processes.
Receive, analyze, process and follow-up on personnel administration requests via multiple request channels, ensure accurate and timely interface to the respective internal/ external processing chains i.e. payroll, finance, data analytics, external service providers, local authorities etc.
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Ensure payroll and statutory reporting and payments are processed with high accuracy and timeliness according to our SLAs and local legal requirements.
Ensure data quality and data integrity for Payroll and HR data maintenance processes.
Manage full payroll portfolio (either in-house or via vendors) accurately, timely and in compliance with statutory requirements, business policies and company guidelines. Responsible for payroll issues resolutions, data analysis, payroll accounting activities, payroll taxation and legislation administration.
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