500+ Analytics Jobs in Kuala Lumpur - September 2026 - High Salaries

Showing 574 jobs results for "analytics" in Kuala Lumpur
Never miss any updates for Analytics jobs in Kuala Lumpur

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
6 days 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
14 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

  • 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
22 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
23 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
23 days ago

KL City

  • Maintain a structured log of customer feedback and enhancement requests, themed and sized for prioritisation
  • Support competitive and market research on HR technology and talent intelligence products
  • Write user stories and acceptance criteria in Jira for features on the product roadmap ...
Posted
14 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

  • 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
20 days ago

KL City

  • Ensure backlog is groomed and sprint-ready at least 2 sprints ahead
  • Balance new features, technical debt, and bug fixes in backlog
  • Participate in sprint planning with Engineering Manager ...
Posted
22 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
MYR600 - MYR1,000 Per Month

Bandar Kuala Lumpur, WP Kuala Lumpur

Near Train Station
  • Engage with the online community by responding to comments, messages, and inquiries in a timely and professional manner, fostering positive relationships.
  • Support the team in analyzing social media performance metrics and generating reports to track the effectiveness of campaigns and identify areas for optimization.
  • Collaborate with the marketing team to brainstorm creative campaign ideas and promotional activities for social media. ...
Social Media Strategy Social Media Marketing
+1
Posted
7 days ago

Sutera Analytics Sdn Bhd

KL City

  • Manage the full sales cycle from prospecting to closing.
  • Build and maintain strong customer relationships.
  • Coordinate with technical and marketing teams to deliver the best customer solutions. ...
Posted
22 days ago

KL City

  • To know and understand business user data challenges and manage their expectation.
  • To generate insights in tandem with productivity of bank across all LOBs.
  • To create and deploy propensity, segmentation, models for greater customer personalisation and prioritisation of resources. ...
Posted
14 days 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
21 days ago

KL City

  • Develop and execute ad-hoc queries and analyses required by business stakeholders.
  • Maintain and update documentation to ensure reproducibility and transparency.
  • Contribute fresh perspectives, identify areas for improvement, and address gaps in data team processes. ...
Posted
2 days ago

KL City

  • Develop and maintain PayTV and Digital audience segments using behavioral, demographic, transactional, and engagement data.
  • Build customer profiles and audience taxonomies to support personalization, targeting, and campaign optimization.
  • Perform audience sizing, profiling, and overlap analysis across multiple platforms and products. ...
Posted
a day ago

KL City

  • Support the development of a unified audience view by integrating customer, viewing, digital, and third-party data sources.
  • Apply statistical and machine learning techniques to identify audience clusters, customer affinities, and engagement drivers.
  • Develop propensity, churn, content affinity, and customer value models to support business use cases. ...
Posted
18 hours ago

KL City

  • Analyze campaign data to identify trends, performance drivers, and areas for improvement.
  • Translate campaign performance metrics into clear insights and recommendations.
  • Support preparation of performance reviews, campaign summaries, and learning reports. ...
Posted
4 days ago

KL City

  • Data Platform Strategy: Define the data and AI architecture roadmap. Establish standards for data governance, quality, metadata management, and security.
  • Stakeholder Engagement: Translate business requirements into technical architectures. Present proposals and trade-offs to both technical and non-technical audiences.
  • Technical Leadership: Establish best practices, design patterns, and reference architectures for the team. ...
Posted
6 days ago

KL City

Posted
2 days ago

KL City

  • Analyze cross-channel effects — for example, whether TikTok investment subsequently lifts Shopee or Lazada sales, shifts search behaviour, or drives new customer acquisition — rather than evaluating each channel in isolation
  • Run cohort analysis to understand acquisition, repeat purchase, and retention patterns across markets and channels
  • Build or interpret lifetime value (LTV) views, and identify which marketing activities are driving valuable, retained customers rather than only immediate conversions ...
Posted
2 days ago

KL City

  • To answer student queries on academic matters relating to the unit promptly.
  • To set and mark assessments (quiz, test, assignments, examinations) for students.
  • To invigilate examinations. ...
Posted
2 days ago

KL City

  • Use Python to automate data transformations, analysis, and reporting tasks.
  • Collaborate with business and technical teams to translate requirements into clear, accurate analytics solutions.
  • Ensure data quality, consistency, and reliability across all reporting layers. ...
Posted
2 days ago

KL City

  • Data Quality Framework: Design and deploy Data Quality (DQ) rules and dashboards within Collibra to monitor the health of migrated data sets.
  • Workflow Development: Create and customize BPMN 2.0 workflows in Collibra to automate stewardship assignments, asset approvals, and access requests.
  • Lineage Mapping: Build and maintain end-to-end data lineage from legacy on-prem sources to BigQuery to ensure transparency for stakeholders and auditors. ...
Posted
2 days ago

KL City

  • Lead Business Requirement study
  • Customize Salesforce fields, page layouts, record types, searching, list views, queues, reports, and dashboards.
  • Maintain overall system configuration, change control, and enhancements. ...
Posted
a day ago

KL City

  • Answering client inquiries and preparing client presentations with market insights.
  • Gathering insights about the current and future market situation through primary and secondary research and translating it into data
  • Solid communications skills, both verbally and written. Good writing skills. Ability to draw key conclusions from vast amount of information. ...
Posted
17 hours ago

KL City

  • Develop specifications and standards for dashboards and reports, with high QA practices and reusability.
  • Coach junior analysts on best practices in methods, quality assurance and data visualization.
  • Perform data reconciliation to source, document data lineage and reproducible scripts / notebooks. ...
Posted
5 days ago

KL City

  • Uses industry knowledge and respond to inquires and-or distributors, provide clear resolves various issues as they arise.
  • Resolve operational customer-distributor (or other partner) management activities (e.g. remuneration, sales initiatives, event management, cross-selling), ensuring an efficient and high-quality service is extended to all internal and external customers.
  • Identifies opportunities for improvement by monitoring business processes and keeping abreast of industry developments. ...
Posted
5 days ago

KL City

  • Conduct stochastic and deterministic modeling to evaluate risks and deliver valuable insights.
  • Assist with captive feasibility studies, placement, and premium allocation models.
  • Contribute to task automation to improve efficiency. ...
Posted
6 days ago