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200+ Analytics Jobs in Federal Territory - September 2026 - High Salaries
Showing 281 jobs results for
"analytics"
in Federal Territory
Never miss any updates for Analytics jobs in Federal Territory
Manage Alert
Undisclosed
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
16 days ago
Undisclosed
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
7 days ago
Undisclosed
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
8 days ago
Undisclosed
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
24 days ago
Undisclosed
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
Undisclosed
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
a month ago
Undisclosed
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
16 days ago
Undisclosed
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
15 days ago
Undisclosed
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
24 days ago
Undisclosed
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
24 days ago
Undisclosed
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
24 days ago
Undisclosed
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
Undisclosed
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
22 days ago
Undisclosed
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
24 days ago
Undisclosed
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
Undisclosed
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
24 days ago
Undisclosed
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
16 days ago
Undisclosed
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
23 days ago
Undisclosed
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
3 days ago
Undisclosed
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
2 days ago
Undisclosed
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
3 days ago
Undisclosed
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
5 days ago
Undisclosed
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
8 days ago
Undisclosed
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
2 days ago
Undisclosed
KL City
- Develop and maintain reports, dashboards, and analytical outputs to support business decision-making.
- Support data-related activities for sales commission, incentive, quota, and compensation programs.
- Prepare, validate, and reconcile commission-related datasets to ensure accuracy and completeness. ...
Posted
2 days ago
Undisclosed
KL City
- Collaboration & Stakeholder Partnership: Collaborate with quick commerce, operations, and supply chain partners to understand strategic objectives, recommend analytics solutions, and present insights effectively. Also, work closely with senior analysts and team leads, learning from their approach to data modeling, visualization, and storytelling.
- Data Quality & Tracking: Monitor data quality and participate in QA processes to ensure consistency across all reporting metrics.
- AI-Driven Analytics & Automation: Evaluate and implement AI-powered solutions that transform how quick commerce analytics operates — including agentic workflows (e.g. root-cause analysis agents, automated anomaly detection on delivery/fulfillment metrics), LLM-assisted insight generation, and prompt-engineered pipelines. Help translate repeatable analyst workflows into scalable AI tools, and share knowledge across the team. ...
Posted
2 days ago
Undisclosed
KL City
- Travel Retail (Hermes, Bvlgari, The Flying Emporium, Coach, Polo Ralph Lauren, Lacoste, Beaute Love, Ion Gizmos, Candy Party, Wear + When, Tumi)
- F&B (Bacha Coffee, Quivo, Godiva, TWG Tea, Laderach, Candy Party)
- Watches (Swiss Watch Gallery, Tudor, Rolex, Cartier, Tissot, Zenith, Bell & Ross, Breitling, Blancpain, Omega) ...
Posted
2 days ago
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