Engage with business users and stakeholders to thoroughly understand their reporting needs, data-related challenges, and translate these into clear analytics requirements.
Analyse existing processes, data sources, and reporting solutions to identify areas for enhancement and provide well-considered recommendations for improvement.
Contribute actively to solution design by mapping out data flows, models, ETL processes, reporting structures, and BI solutions that align with organisational objectives.
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Develop and implement efficient processes for collecting and analyzing both internal and external data, transforming them into actionable operational insights.
Extract and cleanse data from the data warehouse using SQL, applying necessary transformations and formulas to ensure data quality and consistency, followed by comprehensive analysis.
Manage large datasets to generate data-driven insights that support business strategy, operational improvements, and informed decision-making.
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Role Purpose:As a Data & Analytic Engineer, your new role will involve driving analysis and providing business insights to support the growth and expansion of the university operation. Once a project is assigned to you, you will be responsible for understanding the requirements, establishing the process, providing a timeline, collaborating with the team and stakeholders, and performing technical functions such as data extraction, cleaning, structuring, massaging, and analysis using primarily the Structured Query Language (SQL) programming language. These activities will result in insights and recommendations that will be presented to the users. Additionally, you will be required to generate reports for the user as needed. You will work with a team to execute assigned projects and report to the project team. If you excel in critical thinking and possess the ability to analyze complex datasets, this role is well-suited for you.
KEY RESULT AREAS / RESPONSIBILITIESDevelop and implement efficient processes for collecting and analyzing both internal and external data, transforming them into actionable operational insights.Extract and cleanse data from the data warehouse using SQL, applying necessary transformations and formulas to ensure data quality and consistency, followed by comprehensive analysis.Manage large datasets to generate data-driven insights that support business strategy, operational improvements, and informed decision-making.Define key performance indicators (KPIs) and establish processes to monitor and evaluate business performance and progress.Analyze trends, assess current operational strategies, and provide critical insights to identify potential risks and areas for improvement.Automate reporting workflows to streamline data delivery and enhance team and organizational efficiency.Collaborate with internal stakeholders to understand business challenges, define problem statements, gather requirements, and prioritize and implement sustainable data-driven solutions that address business needs.Design, maintain, and automate reports, dashboards, and business processes to meet the reporting needs of various stakeholders across the organization.Maintain detailed documentation for all tasks, processes, and analytical findings to ensure transparency and knowledge sharing.
Transform data into reusable analytics assets - datasets, reports, pipelines and notebooks in the curated layer of the Lakehouse and Data Warehouse in Microsoft Fabric.
Conduct deep-dive analytics based on business priorities and identify improvement opportunities.
Build data pipelines and manage data migration projects.
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To provide efficient, effective technical support to both internal and external customers, Telco’s vendor, suppliers, contractors with the objective of coordinating, managing, solving their problems in a minimal time frame and providing post-sales technical support to all AIMS customers
Technical competency as Level-1 on Structured Cabling System & DC Infrastructure (non-power relation)
To provide customer service in order to establish and maintain a strong relationship with customers
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Clickstream Intelligence Platform (Scribe) is Grab's in-house app instrumentation and insights platform that captures and analyzes user clickstream activity across all Grab apps. The platform supports observability, real-time personalization, and business analytics by processing tens of billions of events per hour at petabyte scale.
Customer Data Platform (CDP) enables Grab Teams to onboard and register Grab's customer data and make it available for Online Serving, ML Models, Segmentation, and Real Time targeting to power personalization use cases across the company. Our platform is used across many mission-critical Grab services such as app personalization, experimentation, ads serving, and marketing.
Drive BMS growth in the data center sector by engaging early with key consultants, EPCs, and owners, positioning JCI cooling solutions in design/specifications, and influencing hyperscaler regional teams to secure procurement and pre‑qualification.
Achieve assigned annual sales and gross margin targets
Prepare technical proposals, system designs, tenders and quotations
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Perform daily operations and maintenance in data center for facilities and utilities, including monitor and record readings of equipment in Data Center such as UPS, temperature, CRAC unit, humidity.
Perform daily monitoring to customer equipment, uplinks and sites using monitoring tools. In the event of an incident, attend to ad-hoc support and emergency cases in Data Center to ensure minimum downtime.
To ensure standard operating procedures (SOP) are followed and conformed by each party for any work in the Data Center. Which is to accompany, and welcome visitors / vendors access into the Data Center.
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Architect Scalable Networks: Lead the end-to-end design and deployment of "first-time-right" network solutions, specifically focusing on Spine-Leaf topologies and L2/L3 fabrics
Drive Technical Leadership: Act as a Solution Architect for large initiatives, managing resource estimation, dependencies, and risk mitigation across technical teams
Implement Network as Code: Modernize operations by developing and maintaining Arista AVD, Ansible, and CI/CD pipelines to ensure scalable, repeatable deployments
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We're building the future of enterprise automation at Able Perfect. If you're passionate about AI, data science, and solving real-world business problems, this is your launch pad.
As a Data Science & Automation Engineering Intern, you'll work alongside our core team to design, build, and deploy intelligent systems that automate critical business workflows, optimize departmental processes, and implement next-generation data platforms.
High performers in this program will be offered full-time conversion.
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