The Senior Lead Data manages a team to deliver high-impactreporting, analytics and fit-for-purpose data solutions within the ITdepartment. The role partners business stakeholders to translate priorityquestions into actionable insights, sets clear delivery priorities, and coachesteam members on analytics best practices. Supporting reliable data pipelinesand curated datasets (working with internal IT teams and vendors as needed), maintainsagreed data definitions, quality checks, and ensures dashboards and analysesare adopted to support operational and decision-making.

RESPONSIBILITIES

• Lead and develop a data/analytics team: set goals and ways of working, coach and review work quality, support performance conversations, and build capability through mentoring and knowledge sharing.
• Partner business stakeholders to define analytics questions, success measures and requirements; translate needs into clear user stories/briefs, prioritise work, and assign delivery across the team.
• Oversee and (where needed) contribute hands-on to the delivery of dashboards, reports and analyses (e.g., Power BI, Tableau, Microsoft Fabric, Cubot, SQL/Python) that provide timely, trusted insight for operational and clinical stakeholders.
• Maintain curated datasets and data models for reporting and analytics, setting team standards for documentation, reusable logic and peer review of changes (working with relevant stakeholders as needed).
• Own practical data governance for assigned domains (data definitions, access requests/approvals routing, quality checks and documentation) in line with organisational privacy and security requirements.
• Manage the intake and prioritisation of analytics requests; balance demand vs team capacity, track delivery status/risks/dependencies, and provide regular updates on commitments and timelines.
• Drive adoption of analytics outputs by defining validation and sign-off steps, coordinating training and communications, and tracking usage/impact with stakeholders.
• Coordinate with data platform/system owners on pipeline enhancements needed for reporting and analytics; plan team inputs, support UAT, and escalate delivery risks/issues when required.
• Standardise KPIs and reporting logic for assigned areas; maintain a simple metrics catalogue/data dictionary and review dashboards to ensure consistent definitions and quality.
• Where approved, lead delivery of simple predictive or automation solutions by scoping the work, ensuring testing and documentation, and setting up basic monitoring with agreed owners.
• Coordinate vendor and internal IT deliverables for assigned initiatives (e.g., data extracts, fixes, enhancements), validate outcomes with the team, and manage day-to-day follow-ups and escalations.
• Provide input for tooling/licensing needs (business justification, usage and access model) and oversee basic administration activities where required (e.g., workspace access, dataset refresh checks).
• Ensure the team follows applicable privacy and security requirements (e.g., access controls, de-identification where required) and maintain evidence/documentation for audits when requested.
• Continuously improve analytics assets and team ways of working (performance, usability, data quality, documentation and peer review), and propose small, low-risk enhancements.
• Maintain simple ways of working for analytics delivery (intake, prioritisation, documentation and handover), support onboarding, and contribute to data literacy by sharing guides, definitions and best practices.
• Communicate insights clearly to technical and non-technical audiences; coach team members on executive-ready narratives and recommendations, and ensure analysis is documented and repeatable.

• Support analytics adoption by briefing, enabling and coaching business stakeholders on new data products, dashboards and self-service capabilities; contribute to organisation-wide data literacy initiatives.
• Maintain and update data/analytics governance documentation and records (e.g., data dictionaries, definitions, access approvals, SOPs, controls evidence) in accordance with organisational standards and audit requirements.
• Ensure operational continuity of data and analytics services by providing escalation support, coordinating incident/problem resolution with IT and vendors, and arranging coverage for critical deliverables when required.
• Perform other job-related duties as assigned.

REQUIREMENTS

• Bachelor’s or Master’s degree in computer science, information systems, statistics, or a related field.
• 6+ years of relevant experience in data/analytics (BI/reporting, data modelling, and data management), including at least 1–2 years in a people lead/line management role (e.g., coaching, work allocation, performance feedback).
• Working knowledge of data governance and data quality practices (definitions, access controls, documentation) and awareness of privacy/security requirements; able to follow established policies and support audits when required.
• Strong stakeholder management and communication skills, able to translate business problems into analytical solutions and communicate insights as executive-ready recommendations.
• Ability to plan and deliver analytics work using Agile/iterative approaches, including requirements clarification, stakeholder communication, issue/risk tracking and handover of deliverables.
• Strong proficiency with data and analytics technologies (e.g., SQL and Python), BI/visualisation tools, and dimensional/semantic modelling to enable trusted self-service analytics.
• Hands-on understanding of modern cloud data platforms and patterns (e.g., Azure, Databricks, lakehouse/warehouse, ELT/integration), including reliability, performance and cost optimisation considerations.
• Experience applying analytics methods to business problems (descriptive/diagnostic; predictive is a plus), with the ability to document assumptions, validate results and explain limitations to stakeholders.
• Strong strategic thinking, problem solving and decision-making abilities, with a focus on measurable outcomes, adoption and continuous improvement.
• Experience in healthcare or other highly regulated industries, with an appreciation of clinical/operational workflows and data privacy considerations.

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If you do not possess the above experience, your applicationwill still be considered on individual merits and you may be contacted forother opportunities

By submitting your personal data and/or resume, you giveconsent to the collection, use and disclosure of your personal data and/orresume by the company (or its agent) for the purpose of the processing andadministration by company relating to this job application.

**We regret to inform that only shortlisted candidates would be notified.**

Responsibilities:

• Lead and collaborate with data scientists and analysts to drive innovation, knowledge sharing, and continuous improvement.
• Design, develop, and deploy robust analytical and machine learning models using advanced statistical techniques.
• Partner with business and technical stakeholders to identify key challenges and translate them into data-driven solutions.
• Develop dashboards and data visualisations to effectively communicate insights to technical and non-technical audiences.
• Stay current with emerging data science trends, tools, and methodologies, applying relevant advancements where appropriate.
• Contribute to the establishment and enhancement of data governance, data quality, and analytics best practices.

Requirements

• Master’s degree or PhD in Data Science, Statistics, Machine Learning, Computer Science, or a related quantitative discipline.
• Significant hands-on experience in data science or advanced analytics roles, preferably within complex engineering or operational environments.
• Strong proficiency in Python and/or SQL, with experience using machine learning libraries and frameworks.
• Demonstrated ability to manage multiple projects concurrently and deliver high-quality outcomes in a fast-paced setting.
• Strong analytical and problem-solving skills, with the ability to interpret and extract insights from complex datasets.
• Excellent communication and stakeholder engagement skills, with the ability to explain technical concepts clearly to non-technical audiences.
• Familiarity with enterprise systems (e.g. PLM, MES, MRO) and cloud platforms such as AWS will be advantageous.

To submit your application, please apply online to apply@rn-care.com or call +(65) 6513 5697 for private and confidential discussion.

Your interest will be treated with the strictest of confidence. We regret that only shortlisted candidates will be notified or contacted.

RN Care Pte. Ltd
EA License No: 17C8900

The resource will be covering operations and projects as listed

• To support and deliver any activities which required 24x7
• To support Service Request, Incident and Change activities
• To support and deliver requested Daily Infra Operations activities
• To support and deliver requested Environment Operations activities
• To support and deliver requested task from Projects team
• To support and deliver requested task from IT Initiative Projects
• To support, coordinate, monitor and supervise any external vendor working in restricted facilities

Requirements:

• Minimum of 1-3 years' hands-on experience in providing Data Center support
• Minimum 1-3 years of structured cabling experience
• Minimum of 1 year's experience in providing Windows and Unix support
• Degree or diploma in IT would be an advantage
• Ability to work independently with minimal supervision
• Able to communicate messages clearly and concisely
• Ability to maintain high-quality performance and constantly deliver results in a timely manner

Job description

The data analyst will play a key role in defining, creating, and delivering powerful interactions data for a substantial part of our business and will partner closely with multiple business partners to provide data and insights to drive operational improvements. This is a critical role that will enable and support our global data and business intelligence strategy. The data analyst will be able to embrace and drive change and to lead global cross-functional data-related projects as well as being data savvy, technically minded and capable of quickly gaining a deep knowledge and understanding of Experian’s wide-ranging systems landscape as well as continually evolving complex data hierarchies, reporting structures and business intelligence requirements and priorities.

YOUR MISSION _________

• Drive process efficiency by automating reporting and improving data workflows, enabling faster and more reliable decision-making through standardized datasets and dashboards

Core Responsibilities

Automation & Digitalization

• Identify recurring manual tasks (report preparation, data consolidation, tracker updates) and redesign workflows to reduce cycle time and errors
• Build automation using Excel Power Query/Power Pivot, Power BI dataflows, and/or Python (where applicable)
• Support digitization of trackers/forms (e.g., standardized templates, structured input, controlled master data)

Data Pipeline & Governance (Light data engineering)

• Consolidate data from multiple sources into clean, standardized datasets (“single source of truth”)
• Maintain backend datasets and ensure refresh schedules and data quality controls that support real-time retail, operations, and data dashboards
• Implement data governance: KPI definitions, data validation checks, version control, documentation in line with APAC database

Dashboards & Self-Serve Reporting

• Design and maintain Power BI dashboards and automated reporting packs for stakeholders
• Create clear metric definitions and user guides to enable self-serve usage

Documentation & Enablement

• Maintain SOPs, process documentation, and training materials for new automated workflows
• Support ad-hoc analytics requests tied to improving repeatable processes

Deliverables / Success Measures

• Accurate and on-time retail ops reporting packs and dashboards
• Improved data quality and governance (fewer reporting errors, clearer KPI definitions)
• Documented processes/SOPs and measurable time saved via automation or workflow improvements
• Effective coordination support to stores and field team

We are looking for Singaporeans with at least an NITEC in IT, who are interested in a Data Center Operator role and comfortable working 12 hour rotating shifts to join us for this 1 year contract role with ES Recruitment.

• Work location: Sin Ming Drive
• Salary: $2300 - $2700 (Depend on experience, company do not provide bonus)
• 12 hour rotating shift (8 to 8), 1 Day, 1 Night, 2 off shift pattern
• Shift allowance: $8 per Day Shift & $20 per Night Shift
• Annual leave 10 days

Requirement:

• Singaporean (Must cleared both CAT2 project clearance and pre-employment check)
• Min Nitec in IT
• Willing to work 12 hour rotating shift (8am to 8pm, 8pm to 8am)
• Keen in data center role
• Willingness to learn attitude
• Able to start work at short notice
• Must serve 2 months notice when hired for this project
• Must be able to commit to a 1 year contract
• Must be willing to wait for the check to be complete

Jobscope:

• Monitor Server and application health
• Batch job & monitoring
• Backup job & Monitoring
• Escalation and alert notification
• Escort DC visitor
• Support Building management maintenance, E.g. power maintenance, Aircon
• Support security advisories
• Remote monitoring service
• Support DR activity
• Support and execute task assign by the Project manager
• Printing service management
• To ensure all the task is completed
• To ensure all the system is well taken care and monitor
• To ensure all back up is executed.
• To ensure all batch job is executed.

ES Recruitment Pte Ltd (09C4235)

Hong Chiew Guat (R1219860)

Job Overview

We are seeking a Data Engineer to support and advance the organization’s data-driven and self-service analytics strategy. This role is responsible for designing, building, and maintaining scalable data pipelines and data platforms that transform raw data into trusted, analytics-ready assets.

The position plays a critical role in enabling enterprise reporting, governing Self-Service Intelligence SSI, and high-performance Power BI analytics. The successful candidate will work across hybrid data environments, ensuring data quality, reliability, security, and performance while empowering business users with timely and actionable insights.

Key Responsibilities

• Design, develop, test, and maintain enterprise-grade data pipelines supporting analytics, reporting, and self-service BI use cases
• Build and optimize ETL and ELT workflows using SQL Server Integration Services SSIS, Azure Data Factory, and equivalent data integration tools
• Enhance and refactor existing SSIS packages to improve performance, scalability, and operational stability
• Integrate data from multiple internal and external data sources across on-premises and cloud environments
• Collaborate with business stakeholders, analysts, and data consumers to translate reporting and analytical requirements into production-ready data solutions
• Design and maintain data models, semantic layers, and certified datasets to support Power BI dashboards and self-service analytics consumption
• Implement data quality controls, validation rules, and monitoring mechanisms across data pipelines
• Support governed self-service analytics by delivering reusable, well-documented datasets that reduce dependency on IT teams
• Monitor, troubleshoot, and resolve data ingestion, transformation, and performance issues impacting reporting users
• Implement data warehousing structures, dimensional models, and performance-optimized schemas aligned with business usage patterns
• Maintain clear documentation of data flows, transformation logic, and architectural components

Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related discipline
• Minimum 3 years of hands-on experience in data engineering, BI engineering, or a closely related role
• Strong proficiency in SQL with solid experience in query optimization and performance tuning
• Hands-on experience with SQL Server Integration Services SSIS for enterprise ETL development
• Experience working with Microsoft data platforms including SQL Server and Power BI
• Practical experience enabling Self-Service BI or Self-Service Intelligence in enterprise environments
• Exposure to cloud platforms such as Azure, AWS, or GCP, including services like Azure Data Factory, Redshift, or BigQuery
• Good understanding of data warehousing concepts, dimensional modeling, and star schema design
• Knowledge of data governance, security, and compliance practices in enterprise or regulated environments
• Strong analytical mindset with the ability to communicate technical concepts effectively to business stakeholders

Preferred Skills

• Experience modernizing or migrating SSIS workloads to cloud-based orchestration tools
• Familiarity with Python, Scala, or Java for data processing or automation
• Experience supporting Power BI performance optimization and dataset certification

Please send your detailed resume in MS Word format to resume@goldtecHRs.com with

• Education Level
• Working experiences
• Each employment background
• Reason for leaving each employment
• Last drawn salary
• Expected salary
• Date of availability

Overview

Our client is a global data center platform provider supporting enterprises and hyperscale cloud providers across major metropolitan markets worldwide.

As demand for AI infrastructure, high-density compute, and hybrid deployments accelerates, the company is expanding its architecture capability in APAC. This role works closely with an internal engineering and innovation environment where next-generation data center architectures are developed and validated before being deployed globally.

Role Summary

We are seeking a technically strong Solutions Architect with a background in data center infrastructure and engineering. This role sits at the intersection of infrastructure architecture, data center engineering, and customer solution design.

The position is ideal for candidates with hands-on experience across compute, storage, and networking, combined with an understanding of data center constraints such as space, power, and cooling.

Key Responsibilities

• Design and deliver infrastructure solutions supporting hybrid/multi-cloud and AI-ready environments

• Develop architectures for high-density compute workloads, including GPU-based deployments

• Translate infrastructure requirements into rack density, power, cooling, and capacity planning

• Support solution design discussions and technical workshops with stakeholders

• Work closely with internal engineering teams to bring next-generation data center architectures into production

• Contribute to infrastructure strategies supporting AI workloads, high-performance computing, and hybrid environments

• Collaborate with facilities and operations teams to optimise deployments based on space, power, and thermal constraints

• Evaluate emerging technologies for next-generation data center environments

Requirements

• Experience in infrastructure architecture, systems engineering, or solution architecture

• Strong understanding of data center environments, including power, cooling, and rack planning
• Experience with compute, storage, and networking platforms
• Exposure to AI/ML infrastructure or high-density compute environments is advantageous
• Familiarity with public cloud platforms (AWS, Azure, GCP) and hybrid infrastructure
• Knowledge of networking (routing/switching), storage systems, and compute platforms

Preferred

• Experience with high-performance computing (HPC) environments
• Exposure to automation or infrastructure-as-code tools
• Relevant certifications (e.g. AWS, Cisco, VMware, NVIDIA)

Requirement :-

Must-to-Have:

• 2–6 years of relevant experience in software/data engineering
• Proficiency in Scala/Java and Python
• Strong communication skills with good command of English
• Solid experience with ETL processes, including the Spark Suite (PySpark)
• Hands-on experience with the Hadoop stack (Hadoop, Hive, HDPS)
• Ability to design and develop Data APIs
• Experience with Operational Data Stores (ODS), Master Data Management (MDM), and data modelling
• Proven experience in building data frameworks and data architectures

Nice-to-Have:

• Experience in data warehousing, data lakes, and data management,including data processing and optimisation
• Intermediate knowledge of Artificial Intelligence (AI) and basic Data Science concepts
• Experience in BI tools, e.g., Tableau dashboard development and reporting

Responsibilities

• Liaise with the contractors/sub-contractors in the coordination of site works
• Highlight discrepancies, feedback site progress and irregularities to Consultants
• Ensure the contractors maintain work safety, cleanliness and tidiness of the site

Requirements

• Registered with IES as a Resident Technical Officer (C&S) is a must.
• Has supervised precast components
• Has an eye for details and resourceful
• Location of the project: Pasir Labar, Kranji, Changi East

We are looking for a Data Operations Specialist to support large-scale data and mapping initiatives powered by AI technologies.

• Opportunity to work on impactful, data-driven projects

• Exposure to AI-enabled workflows and large-scale datasets

• Collaborative team environment with growth opportunities

• Competitive salary with completion bonus

Key Responsibilities

• Collect, manage, and process large datasets using internal tools

• Support data transformation workflows powered by AI and automation

• Review and validate system-generated outputs for accuracy and quality

• Identify issues and perform detailed checks and corrections

• Monitor and analyze datasets to ensure consistency and performance

Nice to Have

• 2–3 years of experience in data operations, data processing, or similar roles

• Experience with geospatial, mapping, or location-based data

• Strong attention to detail and analytical thinking skills
  

For candidates who do not wish to apply via the site and would still like to apply in a P&C manner, please send in your resume to apply97[ADD]talentvis.com

EA License: 04C3537 | Talentvis Singapore

EA Personnel: R26160646 | Adrian Tan

9pm to 6am

The Job:

• Perform pre-migration checks and testing to ensure service readiness, including:
• Inbound/outbound call scenarios
• Confirmation that subscriber data is fully synchronized prior migration

Interested applicants can send their detailed resumes to janelui@recruitexpress.com.sg or call JANE @ 6735 1955.

JANE LUI JIE'EN

CEI: R1104482

Company Reg. No. 199601303W || EA Licence No. 99C4599

Job Description & Requirements

Big Tech company is seeking a Data Scientist based in Singapore and working reviewing and analysing data, training data, generating insights, and driving improvements in search and recommendation systems. You’ll collaborate closely with Data Scientists and Engineers, playing a key role in refining and enhancing Music, Podcasts and TV’s user experience.

The Position:

• Ensure data quality is maintained at high standards and continually enhance processes based on both quantitative and qualitative feedback
• Quality assurance reviewing, verifying, editing, scoring, transcribing, copywriting, and reporting on data and/or assets across a broad scope of media and content types.
• Generating detailed reports that analyze issues and patterns for your market, offering insights to managers, statisticians, and engineers
• Analyzing metrics and query logs to identify and resolve data and relevance issues

The Candidate:

• At least 1-4 years overall experience as a Data Analyst
• Data Visualization/dashboarding (Tableau or PowerBI experience)
• Python experience is a must
• LLM (Large language models) is required
• Professional proficiency in Mandarin is required as you'll be commutating with Internal stakeholders & external - media companies that are based in China.
• Relevant experience and familiarity with China’s music, film, and media landscape, including applicable cultural context, are necessary to perform this role effectively

We regret to inform that only shortlisted candidates will be notified / contacted.

EA Registration No: R1544987, Luke Michael Townsend

Allegis Group Singapore Pte Ltd, Company Reg No. 200909448N, EA License No. 10C4544

About the Role:

We are seeking a Data Analyst (Product Support) with strong SQL expertise to join our team in the real estate technology industry. SQL will be your primary tool, and you will use it daily to extract, validate and analyse large datasets that drive our product. Beyond analytics, you will play a vital role in troubleshooting and investigating product issues, ensuring the accuracy and reliability of our data and reporting systems. You will work closely with product managers and engineers to identify, check and report bugs. This includes providing insights that directly enhance the platform’s performance and value.

Key Responsibilities:

• Write, optimize and maintain complex SQL queries for extracting, analysing and validating large datasets.
• Use SQL-driven analysis to support product teams in identifying, investigating and reporting data-related issues and bugs.
• Perform data validation and quality checks through SQL to ensure product outputs are accurate and reliable.
• Collaborate with product managers and engineers to reproduce issues, fix and verify bug fixes using SQL checks.
• Build and maintain reporting dashboards and ad-hoc analyses, powered by SQL-based data extraction.
• Document SQL query logic, data processes and bug reports for cross-functional clarity.
• Provide timely SQL-based data support and troubleshooting to internal stakeholders (e.g. product, customer success and data engineering).

Qualifications & Requirements

• Bachelor’s degree in Data Analytics, Computer Science, Information Systems, Business or related field.
• Minimum 2 years of experience as a Data Analyst, preferably in the real estate or proptech industry.
• Strong proficiency and hands-on experience in SQL (PostgreSQL, Redshift, MySQL or similar).
• Experience working with large datasets and relational databases.
• Familiarity with bug tracking tools (e.g. Jira) and reporting workflows.
• Strong problem-solving and troubleshooting skills with keen attention to detail.
• Ability to communicate clearly and effectively with both technical and non-technical stakeholders.
• Experience with BI tools (e.g. Tableau, Power BI, Metabase) is a plus.
• Knowledge of the real estate domain and data standards is a strong advantage.