100+ Hr Analytics Jobs in Bandar Kuala Lumpur - September 2026 - High Salaries

Showing 177 jobs results for "hr analytics" in Bandar Kuala Lumpur
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KL City

  • Oversee the effectiveness of the Bank's reconciliation control environment, ensuring alignment with regulatory expectations, risk appetite, and best practices.
  • Drive consistent implementation of reconciliation policies, standards, and procedures across Business Units and Business Enablers.
  • Provide independent challenge and oversight of material unreconciled balances, aged exceptions, and recurring control deficiencies. ...
Posted
12 days ago

KL City

  • Lead the roll-out of data visualisation and business intelligence tools
  • Develop and maintain dashboards for business insights and management
  • Build data models to respond to business requirements ...
Posted
a month ago

KL City

  • Contribute to enterprise architecture across business, application, data, and integration domains
  • Support development of cloud migration strategies, including roadmap planning and execution approaches
  • Design and advise on scalable data platforms (e.g. data lakes, data warehouses) leveraging leading cloud technologies ...
Posted
19 days ago

KL City

  • Guide regional expansion by conducting targeted sector research across Malaysia, Singapore, Vietnam, Cambodia, and Hong Kong to optimize portfolio positioning.
  • Master’s or Bachelor’s degree in Economics, Finance, Statistics, Data Analytics, or a quantitative field.
  • 5 years and above of relevant experience in economic research, strategic planning, equity research and/or advisory with prior experience in banking, consultancy, or stockbroking strongly preferred. ...
Posted
23 days ago

KL City

  • Act as the senior industry lead for Advanced Analytics & AI, engaging senior executive-level stakeholders
  • Drive solution positioning, value articulation, and deal shaping for complex client opportunities
  • Identify unmet industry needs and translate them into scalable analytics opportunities ...
Posted
a month ago

KL City

  • To assist in maintaining a healthy credit portfolio within the bank’s risk appetite by supporting credit strategy analysis and implementation.
  • To conduct portfolio monitoring and assist in identifying potential risks and opportunities.
  • To collaborate with stakeholders to translate business requirements into data and reporting outputs. ...
Posted
21 days ago

KL City

  • Analyse structured and unstructured data to identify anomalies, control exceptions, trends and emerging risks relevant to audit objectives.
  • Develop and maintain audit analytics scripts, automated tests, dashboards and continuous auditing solutions.
  • Verify and interpret continuous auditing results to confirm the accuracy and relevance of exceptions before they are used for audit conclusions and reporting. ...
Posted
a month ago

KL City

  • Support in preparing analytical reports, insights, and commentaries to support management decision‑making.
  • Participate in ad hoc analytical, strategic, or business development projects as assigned.
  • Prepare Investment Committee agendas and approval records. ...
Posted
20 days ago

KL City

  • Collaborate with Risk, Treasury, Finance, and other stakeholders to gather required information, resolve data issues, and support reporting requirements.
  • Support reporting automation and system enhancement initiatives by assisting in testing, process improvements, and the development of reporting tools and dashboards to improve efficiency and turnaround time.
  • Maintain reporting documentation, procedures, and controls, and assist in identifying opportunities to strengthen data governance, reporting processes, and operational effectiveness. ...
Posted
13 days ago

KL City

  • Translate business requirements into conceptual, logical, and physical data models. Must also understand and articulate the processes, concepts, and components of Leads, Channel & Campaign Management.
  • To ensure alignment to the Division and Bank’s strategic intent and goals for each Financial Year.
Posted
a month ago

KL City

  • Build and maintain regular performance dashboards and reports.
  • Support customer segmentation and campaign targeting.
  • Measure campaign effectiveness and identify optimization opportunities. ...
Posted
a month ago

KL City

  • Implement robust data visualisation frameworks to enhance data accessibility and usability.
  • Enforce data governance frameworks, ensuring data quality, security, compliance, and regulatory alignment.
  • Promote a culture of accountability and best practices around data usage and stewardship. ...
Posted
22 days ago

KL City

  • Malaysian citizens.
  • Undergraduate/ graduate in Digital Marketing, Mass Communication, Business Studies, Psychology, Media or Journalism from a local or international university;
  • Possess CGPA / GPA score of 3.0 and above, or equivalent; ...
Posted
25 days ago

KL City

  • Support data infrastructure initiatives within the department, including data migration, validation, and development of data marts.
  • Contribute to the development, monitoring, and periodic review of Risk Scorecards to ensure their continued effectiveness and predictive accuracy.
  • Participate in process improvements, system enhancements, and digitalization initiatives to strengthen operational efficiency. ...
Posted
a month ago

KL City

Posted
a month ago

KL City

  • 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. ...
Posted
13 days ago

KL City

  • 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. ...
Posted
5 days ago

KL City

  • Working with cloud platforms and services for GenAI development, such as Azure for using OpenAI models.
  • Train NLP Models for prescribed requirements: Supervised and Unsupervised topic modeling
  • Web Scraping for data mining using state-of-the-art methods ...
Posted
5 days ago

KL City

  • 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. ...
Posted
21 days ago

KL City

  • Partner with stakeholders on portfolio, product, and sales initiatives, providing support for business performance, product programs, and performance metrics.
Posted
a month ago

KL City

  • Work Mode: Work from Office
  • 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.
Posted
21 days ago

KL City

  • Work Mode: Work from Office
  • 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.
Posted
21 days ago

KL City

  • Working with cloud platforms and services for GenAI development, such as Azure for using OpenAI models.
  • Train NLP Models for prescribed requirements: Supervised and Unsupervised topic modeling
  • Web Scraping for data mining using state-of-the-art methods ...
Posted
19 days ago

KL City

  • 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. ...
Posted
a month ago

KL City

  • 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. ...
Posted
21 days ago

KL City

  • Facilitating workshops, presenting insights and helping clients take action
  • Building trusted relationships while delivering measurable value to clients
  • Developing expertise in talent analytics, psychometrics and organisational effectiveness ...
Posted
a month ago