Total 50 big data analyst job vacancies in Information Technology category in Malaysia

About the Role

Drive AI-driven automation and intelligent reporting across Finance and Operations to streamline and automate reporting processes.

This role focuses on reducing manual work, improving reporting speed, and enhancing data accuracy, enabling the business to make faster and better decisions.

This role requires a high level of integrity, as it involves handling sensitive financial data and supporting business-critical decision-making processes.

Key Responsibilities:

1) Reporting & Process Automation (Priority Focus)

• Automate weekly and monthly finance reports
• Eliminate manual Excel consolidation and repetitive tasks
• Develop standardized and scalable reporting templates

2) Data Management & Pipeline Development

• Extract and transform data from ERP and internal systems
• Ensure data accuracy, consistency, and integrity
• Build and maintain structured datasets for reporting and analytics

3) Dashboard & Visualization

• Develop interactive dashboards (e.g. Power BI / Tableau)
• Enable management to access near real-time insights
• Improve visibility of key KPIs (sales, cost, margin, etc.)

4) AI & Advanced Analytics (Progressive Implementation)

• Develop and deploy AI/ML models for:
• Forecasting (sales, cash flow, demand)
• Anomaly detection (cost, production, quality)
• Apply practical AI solutions to enhance automation and decision-making

5) Process Improvement

• Identify inefficiencies in current workflows
• Design automated solutions to improve productivity
• Reduce dependency on manual intervention and key personnel
• Ensure proper data governance, accuracy, and confidentiality in all reporting and automation processes.

6) Collaboration

• Work closely with Finance, Operations, and Production teams
• Translate business requirements into practical technical solutions

7) Other Duties

• Any other tasks as assigned by Top Management

Requirements

• Minimum Diploma or Bachelor’s degree in Computer Science, Engineering, Data Science, Artificial Intelligence or related field
• Proficiency in Python & SQL programming and foundational knowledge of AI and machine learning frameworks
• Understanding of AI modelling techniques, such as supervised and unsupervised learning, and familiarity with software development practices
• Strong problem-solving abilities with an aptitude for analysing datasets and troubleshooting technical issues
• Hands-on experience in model deployment & end-to-end pipeline
• Experience in at least ONE of forecasting/ time series/ computer vision for manufacturing industry or NLP/ automation.
• At Least 5 years’ experience in data engineering.
• Strong analytical mindset and ability to collaborate effectively in a team environment, with clear communication
• High level of integrity, with strong sense of responsibility in handling sensitive financial and operational data, ensuring accuracy, confidentiality, and ethical use of information.

Perks & Benefits

• Allowance (phone, transportation, etc.)
• Regular team activities
• Personal leave
• Medical coverage
• Personal leave
• Personal development opportunities
• Paid training and development
• Work Laptop and Mobile phone provided
• Insurance for Hospital and Surgical
• Insurance for Personal Accident
• Keyman Insurance
• Annual Increment
• Annual Bonus
• Productivity Incentives

Job Summary

Enterprise data management world for creating and maintaining an optimal data pipeline architecture, typical duties and responsibilities for a Data Engineer position includes:

Job Responsibility

• Assembling large, complex sets of data that meet non-functional and functional business requirements
• Identifying, designing and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes
• Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using Azure, AWS and SQL technologies
• Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition
• Working with client stakeholders including data, design, product and executive teams and assisting them with data-related technical issues
• Working with client stakeholders including the Executive, Product, Data and Design teams to support their data infrastructure needs while assisting with data-related technical issues

Perks & Benefits

• Employee equity
• Allowance (travel stipends, transportation, etc.)
• Nearby public transport
• Free snacks / Happy hours
• Regular team activities
• Company trips
• Medical insurance
• Personal leave
• Open culture
• Personal development opportunities
• Paid training and development

JOB DESCRIPTION :

1. Perform various types of testing including functional testing, API testing, and/or usability testing for assigned projects or products. 
2. Support and participate in performance testing and test automation testing activities. 
3. Perform testing activities, including test case design, test procedure preparation, test data creation, and test execution. 
4. Identify and document defects discovered during testing through Test Incident Reports 
5. Track and follow up on reported defects to ensure timely resolution, closure, or proper mitigation. 
6. Provide regular status updates and reports to the manager on testing progress, issues, risks, and overall quality status of assigned projects or products. 
7. Prepare and maintain testing deliverables in accordance with established standards, best practices, and audit or compliance requirements. 
8. Collaborate with developers, business analysts, and other stakeholders to clarify requirements, reproduce issues, and improve overall product quality. 
9. Perform other duties and responsibilities as assigned by the company from time to time. 

JOB REQUIREMENT :

1. Candidate must possess at least a Bachelor’s Degree in Computer Science or Information Technology, or a related field, and/or relevant professional certifications. 
2. Minimum 2 years of working experience in software testing/ quality assurance or related field. 
3. Good understanding of the software testing lifecycle and structured testing processes. 
4. Strong analytical and problem-solving skills, with good presentation skills and a high level of written and verbal communication in both English and Bahasa Malaysia. 
5. Basic understanding of programming languages, networking, or system infrastructure will be an added advantage. 

Perks & Benefits

• Personal leave
• Open culture
• Personal development opportunities

We're looking for a skilled Data Engineer with a strong product builder mindset to join our Product Development Team. In this role, you'll be instrumental in building and maintaining the data infrastructure that powers our data products. You'll work closely with product owners, engineers, developers, and data scientists to ensure the quality, consistency, and scalability of our solutions.

This is a hands-on role where you'll help shape the future of our data products—translating business needs into robust, scalable data solutions that empower our clients to make smarter decisions.

What you'll do

• Design and build robust, scalable data pipelines to ingest and process large volumes of data.
• Develop complex data models to support client-facing teams and product features.
• Lead and support the migration of data infrastructure from on-premise to cloud environments.
• Collaborate with stakeholders to understand data requirements and translate them into technical solutions.
• Implement and maintain optimal cloud-based architectures to support our data products.
• Own the full lifecycle of data processes—from ideation to deployment and maintenance.

• Develops, implements, and maintains technical quality assurance and control systems and activities.
• Defines and specifies the implementation of standards, methods, and procedures for inspecting, testing, and evaluating the precision, accuracy, and reliability of the construction and future operation management.
• Participates in the reviewing of engineering designs to contribute quality requirements and considerations.
• Assists construction support areas in gathering and analyzing data.
• Demonstrable experience in the managing of multi-disciplined semiconductor projects and/or other relevant industries is strongly preferred.
• Implement construction quality management in construction activities.
• Collaborate with core team to perform the audits to validate and confirm Contractors’ QA/QC (Quality Assurance and Quality Control) activities.
• Focal Point for specific discipline, excellent familiarity with the project scope and drawings.
• Review and follow up the Contractors’ QA/QC plans and relevant Quality Documentation and verify execution is done per latest and updated IFC.
• Review and follow up the Contractors’ Quality records.
• Issues and tracks NCR (Non-Conformance Record) items till closure.
• Supports and coordinates Mock-ups.
• Escalation path for relevant Lead Project Manager.
• Performs incremental checks to validate and confirm Contractors’ installations.
• Attend mutual QC walk down with Owners.
• Supports Design Verification (DV) Process and start-up and commissioning quality issues.
• Root cause analysis and problem-solving program. Tracking defect rectification and closure in time.
• Perform Quality training for Subcontractors.
• Summarize and categorize all kinds of Quality inspection statistic data and list down for supervision, analysis and outcome report for improvement and recovery.

The Product Design and Enhancement (PDE) team oversees all design-related activities within the Data Science unit at NIQ, establishing the foundation for Retail Index reporting. The principal duties of the PDE Manager for a specific market include:

• Conducting sample design, universe estimation, and other projects related to the Retail Index.
• Identifying quality risks and coordinating solutions.
• Engaging with stakeholders regarding project scope, execution, data exchange, and outcomes.
• Performing expert-level analysis of results and delivering insightful presentations.
• Collaborating effectively in a virtual multi-country environment, necessitating clear communication with colleagues in various countries.
• Utilizing dedicated software along with ad hoc programming and data mining.
• Identifying opportunities for innovation and tool development in a dynamic work environment.
• Analyzing processes within the scope of responsibilities and providing recommendations for improvements.

The Data Operations Analyst  is responsible of reformatting the retailer and vendor input files, validations, outlier checks and sending the deliverables to the next workstream in a correct and timely manner.  

• Be the contact for questionable sales and stores trend, leading the resolution in a client-focused and timely manner in cooperation with Input Validation, Retailer Vertical/ Retailer Engagement team and other downstream functions. To be able to identify, investigate and coordinate the resolution of data, process, or product related queries 
• Plan and execute complex daily personal workload and support to meet departmental and company schedules 
• Analyze and identify gaps and areas for improvement in reformatting and validations environment (CIP – Consumer Information platform) and drive convergence of processes and tools 

• Providing accurate and timely feedback to respective country teams, driving SOP and use of best-demonstrated practices 
• Working across relevant Operations/Enablement teams to ensure delivery to client expectations and satisfaction 
• Operate in a virtual/multi-cultural environment, liaising with stakeholders and colleagues

Join our exciting team as a Data Engineer with the following job scope:

• Architect and implement data solutions on our large-scale data platform Hadoop using PySpark.
• Write complex and efficient SQL queries to extract and transform data from various sources.
• Design, build, and maintain scalable and reliable data pipelines using tools like Apache Airflow and Kafka.
• Develop and optimize data processing jobs on the Microsoft Azure cloud platform, leveraging services such as Azure Data Lake, Databricks, and Azure Data Factory.
• Collaborate with data analysts and other stakeholders to understand data requirements and deliver high-quality data products.
• Ensure data quality and integrity across all systems.
• Monitor, troubleshoot, and optimize the performance of our data infrastructure.
• Stay up-to-date with the latest trends and technologies in the Big Data space.

This Data Operations Analyst is responsible for data input validation and data cleaning focusing on specific industry/category or set of categories (e.g., Beverages, Food, Health and Beauty Products). As a Data Operations Analyst at NielsenIQ, you support the create and deliver client output deliveries in a correct and timely manner.

• Be the contact for commercial queries, leading the resolution in a client-focused and timely manner in cooperation with Client Liaison and Commercial teams. To be able to identify, investigate and coordinate the resolution of data, process or product related queries
• Plan and execute a complex daily personal workload and support to meet departmental and company schedules
• Analyze and identify gaps and areas for improvement in coding, data input validation and client instructions environments (CIP - Consumer Information Platform) and drive the convergence of processes and tools
• Providing accurate and timely feedback to respective country teams, driving SOP and use of best-demonstrated practices
• Working across relevant Operations/Enablement teams to ensure delivery to client expectations and satisfaction
• Operate in a virtual/multi-cultural environment, liaising with stakeholders 

The Logistics Center of Excellence (COE) is the global hub driving logistics process excellence and digital transformation. The team focuses on process optimization, digital enablement, and advanced analytics to support data‑driven decision‑making across the logistics organization.

This role plays a key individual‑contributor and technical leadership role in delivering BI and AI solutions. You will work closely with logistics business stakeholders to identify requirements, design and develop BI/AI solutions, and lead capability building within the COE team.

ESSENTIAL DUTIES AND RESPONSIBILITIES: 

• Act as an independent BI/AI partner to logistics business teams, understanding requirements and proactively proposing data, BI, and AI solutions to address business needs.
• Design, develop, and maintain BI and AI solutions using Power BI and approved company AI and analytics platforms.
• Translate business problems into analytical models, dashboards, and insights that support operational and strategic decision‑making.
• Own end‑to‑end delivery of digital tasks, including requirement clarification, solution development, testing, deployment, and post‑deployment support.
• Communicate effectively with business stakeholders to track progress, provide status updates, and manage expectations throughout the project lifecycle.
• Provide technical leadership in BI/AI within the Logistics COE, including knowledge sharing, best practices, and hands‑on training for team members.
• Support broader logistics digital transformation initiatives and complete additional assignments as directed by the supervisor.

You will...
• Ensures the data integrity during data processing.
• Verify the accuracy and validity of data processed.
• Resolve and check any quality issues raised by supervisors/clients.
• Maintain positive working relationships and open communication with local, regional and global colleagues.
• Continually innovate, develop and suggest enhancements to gain better work efficiency
• Ensure that the company’s regional and global standards are always adhered to all the times.

You have...
● Diploma or Degree in any other related fields.
● Proficiency in MS Word, MS Excel, and MS PowerPoint Ability to work independently with the ability to prioritize and multi-task; able to think rationally under pressure.
● Fresh graduates are encouraged to apply.

Role Overview

The Technical Analyst engineer is the engine room of the Client Experience department, reporting directly to the AI Lead. You will bridge the gap between technical infrastructure and business intelligence by building and maintaining the department’s automation stack—using Zendesk and Python—while applying AI/LLM knowledge to enhance support capabilities. You will also serve as the team’s data anchor, performing deep-dive financial reconciliations and building automated dashboards to drive data-led decision-making.

Key Responsibilities

1. Automation & AI Integration
• Zendesk & SaaS Optimization: Architect and maintain Zendesk triggers, automations, and complex workflows;
• Python-Led Automation: Develop and deploy Python scripts to automate repetitive manual tasks.
• AI Feature Deployment: Implement and tune advanced AI features within SaaS, managing knowledge base training and basic RAG (Retrieval-Augmented Generation) logic.
2. Data Tools & Reporting
• Advanced Data Analysis: Use tools extensively for high-stakes data cleaning, financial reconciliation, and analysis (advanced formulas and Power Query required).
• BI Dashboarding: Build and maintain automated reports to track KPIs and operational health.
• Management Reporting: Prepare regular operations and analysis reports, translating raw data into insights for Finance and Management teams.
3. Process Improvement & Collaboration
• Workflow Refinement: Support the optimization of processes, rules, and SOPs to improve efficiency, transparency, and internal control.
• Cross-functional Alignment: Work closely with Payment, Finance, IT, and Product teams to drive system improvements and handle security-related whitelisting or response tasks.

• Platform Expertise: Hands-on experience with Zendesk Administration (workflows, triggers, and app integrations).

• Advanced Data Skills: Expert-level Excel (Power Query, Pivot Tables, and complex financial reconciliation); experience with SQL and BI tools.
• Automation & Scripting (Preferrable): Proficiency in Python for business process automation and data extraction; experience with APIs and Webhooks.
• AI Literacy (Preferrable): A foundational understanding of LLMs and how to apply them within a customer experience or operational framework.

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.

This role covers the activities post inputs are received from the source - retailers/vendors. Primary focus is to be the bridge between the Supplier Engagement team and other Ops pillars. System changes surveys, BAU query resolution, MSD tickets tracking and closure, KPIs reporting, productivity initiatives, RCAs are the key areas of work for this team. Apart from this, the team is also responsible to analyze, classify and management of the data. This role is accountable for handling data queries arising from BAU quality checks (RAP & DQI scoring).

Job Responsibilities

Retailer Onboarding and Engagement:

• Collaborate with the Supplier Engagement Lead on retailer onboarding.
• Ensure compliance for received data by working closely with retailers and NielsenIQ teams.
• Track retailer or vendor data quality and conduct regular reviews with internal stakeholders and retailers.
• Drive specific quality improvement goals for retailers, including change management related to data receipt.
• Handle large data sets with exposure to multiple formats and TLog data.
• Understanding of SAP, transactional data handling, FTP, and MFT setup and maintenance.
•  Ability to extract, transform, load, and clean large data sets from multiple sources.
• Familiarity with managing, querying, and aggregating large data sets.

System Change and Data Corrections:

• Plan and follow up on operational activities.
• Address data corrections due to MSD or other data errors through retailer discussions and planning with Ops.
• Track and resolve MSD tickets.
• Collaborate with INS team on results of eDive for System change.

Stakeholder Management & BAU Collaboration and Communication:

• Act as the internal SPOC for Ops and regional leadership teams.
• Provide updates on KPIs, market progress on retailer onboarding, BAU KPIs, and productivity initiatives. (internal SPOC for Ops)
• Communicate with internal and external stakeholders to resolve data issues.
• Provide timely updates and visibility to stakeholders.
• Contact data providers via email if data has not been received as per SLAs.
• Communicate with data providers on any discrepancies found in initial data checks, FoVa reports, shop usability, or other factory processes.
• Handle new store information and confirmation on store closures.
• Address new stores and closed store queries.
• Coordinate with Input Ops and Output for processing reissued data.
• Send relevant IO communications (internal) regarding new/closed stores, missing retailer data, estimation of retailer data, reissue of retailer data, store name changes, store mapping corrections, retailer expansion, and retailer data changes during BAU.

Quality Assurance:

• Conduct quality checks, including eDive primary testing of data, and RAP scoring, eDive.
• Address data queries arising from quality checks.

Opportunity Identification:

• Identify new operational efficient opportunities within existing retailers.
• Ops teams (NOC), and DA Analysts to realize these opportunities, consulting closely with the commercial or RV team as applicable.

The Reference Data Specialist (RD PH) is responsible for instructions of client deliverables, coding and data input validation focusing on specific industry/category or set of categories (e.g. Beverages, Food, Health and Beauty Products). As a Reference Data Specialist  at NielsenIQ, you create and deliver client outputs in a correct and timely manner.

• Responsible for instructions of client deliverables, coding and data input validation focusing on specific industry/category or set of categories.
• Does cross coding and item-related quality checks on a daily basis
• May act as a back-up to other coders when needed; conduct physical store check to validate item-related information
• Keep track/document special instructions related to category assignment
• Plan and execute a complex daily personal workload and support to meet departmental and company schedules
• Ensure accuracy throughout the process, from validation before database setup to managing samples, and identify areas for improvement
• Answer external questions and act as a liaison with everyone from clients to stakeholders; To be able to identify, investigate and coordinate the resolution of data, process, or product related queries
• Willing to be trained to be a category expert

Jacobs Douwe Egberts Research and Development (R&D) is part of the Global JDE organization. R&D is the major contributor to the development of innovative coffee, tea, cereal and NDC products and is constantly optimizing the product portfolio. Focus of R&D is on building technology platforms, new products, portfolio renovations and productivity initiatives. Projects are carried out together with Marketing, Operations and Procurement delivering Product and Packaging Specifications which are the single most critical output of R&D.

The PLM Specialist reports into the PLM Team Lead. They are responsible for maintenance of an effective and efficient specification system for product lifecycle management. They support the R&D team in their work developing new specifications. They are a data custodian and thanks to their actions the PLM system is trustworthy and data contained therein is a strategic R&D asset. This individual is responsible for part of the total portfolio and is expected to become the subject-matter expert for their area of the PLM system.

• Typical project portfolio: Multiple activities across all aspects of the Product / Pack portfolio
• Financial risk: Moderate – Role responsible for maintenance not creation of new specification data. Technical rigour is however critical to ensure data integrity and security.
• Geographical Scope: varies

The PLM Specialist is part of the team responsible for the maintenance of the PLM system within APAC and will support the implementation of the new PLM Software. You will be responsible for assuring quality and trust in the data and be the first point of contact for data-related questions in your field. You will work closely with R&D developers and PLM users to maintain PLM data flow throughout the specification lifecycle, enrich data, provide feedback to users and drivesystem improvement. You are the PLM data custodian, and thanks to your action, the PLM system is trustworthy and data used as a strategic R&D asset.

This requires technical rigor, attention to detail and a relentless drive for completion with excellence. This role plays a critical role in the maintenance, protection and utilisation of a critical R&D asset (our recipe know-how and IP). This role is responsible for ensuring compliance with company policies and procedures related to specifications, leveraging best in class practices throughout all R&D activities and helping to support speed to market.

• Support the implementation of the new PLM Software, user acceptance test and user support

• Ensure successful migration of the data into the new PLM software: migration, validation, completeness

• Collaborate with specification creators within your area of responsibility, to guarantee the completeness and accuracy of product data until product retirement

• Ensure the maintenance of the product data (new data entry, parameter updates, new requirements)

• Monitor data quality periodically, raise gaps and coordinate issue resolution

• With guidance from manager, drive PLM system continuous improvement (design, workflow, data quality)

• Support PLM users about data extraction and reporting

• Act as data custodian and make PLM the system loved by the users and fun

• Communicate and support best practice PLM completion with APAC applications teams for all categorie

• Reports to Manager on a weekly basis highlighting risks/issues and resolution plans

• Other tasks/duties as assigned by the Manager

This role is based in our Menara Skymind office.

Position Overview

We are seeking a detail-oriented Data Governance Analyst to join Omdia's Data Architecture & Engineering team, supporting the implementation and maintenance of data governance standards across our market research and industry analysis data. This role offers an excellent opportunity to contribute to Omdia's data centralization initiative while developing expertise in enterprise data governance.

Key Responsibilities

Data Governance Implementation

• Support the implementation of data governance frameworks and best practices across Omdia's market data sources
• Assist in developing and maintaining data taxonomy standards, ensuring consistency across research content workflows
• Contribute to data quality monitoring processes, identifying issues and supporting remediation efforts
• Help establish and document data lineage tracking for critical market research datasets

Data Quality & Standards

• Perform regular data quality assessments across market and industry data sources
• Document data governance procedures, standards, and best practices for team and stakeholder reference
• Support metadata management initiatives, ensuring accurate and comprehensive data documentation
• Assist in the development of data stewardship protocols and compliance monitoring

Analysis & Reporting

• Analyze data governance metrics and prepare regular reports on data quality, compliance, and governance maturity
• Support stakeholder requests for data lineage, quality assessments, and governance documentation
• Contribute to the evaluation of new data sources and their integration into existing governance frameworks
• Assist in vendor data assessment and compliance verification processes

Collaboration & Support

• Work closely with Data Governance Manager and Data Management Analyst to deliver team objectives
• Collaborate with research teams to understand data requirements and governance needs
• Support training initiatives to promote data governance awareness across the organization
• Participate in cross-functional projects related to data platform development and content workflow optimization

Main Purposes of the role:

The role will be part of a team responsible for ensuring that day to day network operations run smoothly across the regions. This will include monitoring the environment and responding to incidents and problems as they arise and performing preventative maintenance where necessary.

Day to day activities will include responding to requests to perform changes and maintenance to the network in line with global standards.

Adherence to ITIL process and procedures alongside global standards is essential.

• The role will work closely with other regional and global resources. The role will also incorporate project and design work as overflow from the Network specialist team.
  
  In this role you will be responsible for:
• As required, it produces outline system designs and specifications, and overall architectures, topologies, configuration databases and design documentation of networks and networking technology within the organisation. Specifies user/system interfaces, including validation and error correction procedures, processing rules, access, security and audit controls. Assesses associated risks, and specifies recovery routines and contingency procedures. Translates logical designs into physical designs.
• Monitors service delivery performance metrics and liaises with managers and customers to ensure that service level agreements are not breached without the stakeholders being given the opportunity of planning for a deterioration in service.
• Carries out agreed operational procedures, including network configuration, installation and maintenance. Uses network management tools to collect and report on network load and performance statistics. Contributes to the implementation of maintenance and installation work. Uses standard procedures and tools to carry out defined system backups, restoring data where necessary. Identifies operational problems and contributes to their resolution.
• Identifies and resolves complex network problems following agreed procedures. Uses network management software and tools to collect agreed performance statistics. Carries out agreed network maintenance tasks.
• Provides technical expertise to enable the correct application of operational procedures. Uses network management tools to determine network load and performance statistics. Contributes to the planning and implementation of maintenance and installation work. Implements agreed network changes and maintenance routines. Identifies operational problems and contributes to their resolution, checking that they are managed in accordance with agreed standards and procedures. Provides reports and proposals for improvement to specialists, users and managers.
• Uses network management tools to produce management information on capacity and utilisation and investigate issues where necessary.
• Carries out routine audits and checks to ensure adherence to policies and procedures. Facilitates the implementation of mandatory electrical safety testing.
• Acts as the routine contact point between organisation and supplier. Collects and reports on supplier performance data.
• Reviews capacity, performance, availability and other operational metrics and takes appropriate action to ensure corrective and proactive maintenance of storage and backup systems to support the requirement to protect business information.
• Creates reports and proposals for improvement and contributes to the planning and implementation of new installations and scheduled maintenance and changes within the system.
• Prepares and maintains operational procedures and provides technical expertise and appropriate information to the management.
• Take an active part in the ownership of the service that we deliver

The ideal candidate will possess:

• Minimum a Diploma in related discipline of studies with proven track record in IT computing environment
• 2- 4 years minimum experience working in an IT Network or similar IT operations support role at an advance level

Experience:

• Has good understanding of technologies used within the organisation
• Extensive experience of Cisco Routing and Switching, Cisco ASA, Aruba Switching & Wireless, Stingray traffic manager, VPN, DHCP, Aerohive WAP’s and Velocloud SD-WAN
• Experience of technologies wider than networks, Microsoft Server technologies, Linux, specifically around Proxy Servers, DHCP, DNS
• The ability to work across technology silos to resolve issues independently

Knowledge & Skills:

• Works under broad direction. Work is often self-initiated. Is fully accountable for meeting allocated technical and/or project/supervisory objectives. Establishes milestones and has a significant role in the delegation of responsibilities.
• Influences organisation, customers, suppliers, partners and peers on the contribution of own specialism.
• Builds appropriate and effective business relationships.
• Makes decisions which impact the success of assigned projects i.e. results, deadlines and budget. Has significant influence over the allocation and management of resources appropriate to given assignments.
• Performs an extensive range and variety of complex technical and/or professional work activities. Undertakes work which requires the application of fundamental principles in a wide and often unpredictable range of contexts. Understands the relationship between own specialism and wider customer/organisational requirements.
• Has in-depth commercial and technical expertise, often in a variety of environments.
• Demonstrates an understanding of current developments in the application of Information Systems and is able to assimilate and interpret advice from specialists - technical or otherwise.
• Has some knowledge of IT standards and codes of conduct.
• Planning and organisation - Determining a course of action by breaking it down into smaller steps and by planning and resourcing each of these, making allowance for potential problems.
• Decision making - Making decisions at the appropriate time, taking into account the needs of the situation, priorities, constraints and the availability of necessary information.
• Initiative - Being proactive, taking action and anticipating opportunities.
• Communication - interact with other members of IT and the business through multiple methods of communication.
• Ownership - Must be able to demonstrate the ability to own a problem or incident and instill confidence that problems will be resolved in a timely manner.
• Improvisation - Dealing effectively with unexpected situations, taking advantage of opportunities and overcoming problems.
• Commercial orientation - Keeping commercial aspects continually in mind when taking actions or making decisions.
• Customer focus - Understanding the needs of the internal or external customer and keeping them in mind when taking actions or making decisions.
• Influence, persuasion and personal impact - The ability of an individual to convey a level of confidence and professionalism, positively influencing and persuading others to take a specific course of action when there is no direct line of command or control.
• Interaction with people - Establishing relationships and maintaining contacts with people from a variety of backgrounds. Effective and sensitive communicator in different societies and cultures.
• Teamwork - Working cooperatively (rather than competitively) with others to achieve a common goal

As a Senior Data Analyst you will leverage your expertise to directly impact the performance and reporting for our 10 markets in the APAC region. You will act as a high-level advisor to the local markets, leveraging deep-dive analytics and AI-tools to steer country performance. This isn't about building reports, it’s about translating complex data into strategic roadmaps. You will bridge the gap between technical data analytics and executive decision-making, ensuring our global footprint is optimized for growth and efficiency.

This high-impact role requires a self-starter who is capable of effectively balancing trade-offs between speedy delivery and long-term investments in strategic data assets in order to enhance growth, efficiency, and competitive advantage across multiple markets.
 

Responsibilities:

• Strategic Market Advisory: Act as the primary consultant for 10 international markets, conducting deep-dive analyses into country performance to identify growth levers and operational gaps.
• Advanced Data Modeling & Analysis: Lead the development of complex SQL models to transform large datasets into scalable reports and actionable insights, using tools like BigQuery and dbt. Leveraging critical thinking in questioning existing solutions, and high ownership in developing new ones. Championing high standards in communication and deliverables.
• Next-Gen Data Solutions: Move beyond traditional BI by integrating LLMs and agentic workflows into our reporting suite, transforming static data into interactive, conversational business intelligence.
• Functional Knowledge and Business Acumen: Quickly develop an excellent understanding of the business and its key processes, strategic levers and KPIs
• Stakeholder Collaboration & Data Advocacy: Partner with senior business leaders to co-define key metrics, identify process optimization opportunities, and translate analytical findings into actionable insights. Being a strong advocate for building strategic analytical partnerships, as opposed to just providing data.
• Transparency & Backlog Management: Maintain clear visibility into the team’s project backlog, providing regular updates and insights to stakeholders. Actively seek and incorporate feedback to continuously improve analytics processes and outputs.
• Mentorship & Development: Provide guidance and mentorship to junior analysts, enhancing their technical skills and fostering a collaborative team environment.
• Data & Reporting Consistency: Balance speed and adherence to SLAs with a commitment to data consistency, avoiding redundant work and ensuring alignment with the organization’s ethos of a single source of truth and standardized processes for financial and other reporting.
• Rigorous Standards in Data Quality: Establish, provide ongoing evaluations, and make strategic recommendations on future enhancements in data accuracy, validity, and velocity, both of analytics outputs created internally, and of our portfolio of category position solutions provided by external partners.

Find out more about our Data Analytics folks here: 

• Turn insights into impact!
• Looking for a career in data analytics? This could be the opportunity for you!

We are seeking a dynamic Regulatory Data Analyst (1-Year Contract) to be part of our mission to drive impactful decisions across our 16 markets. Working within our Analytics team, you'll support the team by providing high-quality regulatory data operations support and collaborating with internal teams to assist in decision-making. This is a foundational role offering the opportunity to grow technical skills and learn from experienced data professionals.

• Data Preparation & Ad Hoc Analysis: Manage and validate regulatory data requests from regulatory bodies, and courts. Ensure accurate and timely submission of information in accordance with specified deadlines.
• Cross-Functional Collaboration: Partner with legal and technical teams to maintain data integrity and uphold internal data quality standards.

Find out more about our Data Analytics folks here: 

• Turn insights into impact!
• Looking for a career in data analytics? This could be the opportunity for you!

You will...
• Ensures the data integrity during data processing.
• Verify the accuracy and validity of data processed.
• Resolve and check any quality issues raised by supervisors/clients.
• Maintain positive working relationships and open communication with local, regional and global colleagues.
• Continually innovate, develop and suggest enhancements to gain better work efficiency
• Ensure that the company’s regional and global standards are always adhered to all the times.

You have...
● Diploma or Degree in any other related fields.
● Proficiency in MS Word, MS Excel, and MS PowerPoint Ability to work independently with the ability to prioritize and multi-task; able to think rationally under pressure.
● Fresh graduates are encouraged to apply.

Join SEEK's Data Enablement function as a Data Enablement Lead. You will unlock the value of SEEK's data by improving how it is discovered, understood, and used across the organisation. Reporting to the Head of Data Enablement, you will translate strategy into execution, working across product, engineering, and business teams to enable self-serve analytics, trusted data foundations, and AI-driven use cases. Your focus: drive adoption, improve data usability, and enable confident decision-making and innovation.

The Role

• Drive execution of SEEK's Data Enablement strategy into measurable initiatives
• Shape solutions that improve data discoverability, usability, and trust
• Design capabilities like data discovery tools, metadata frameworks, semantic layers, and glossaries
• Strengthen data ownership, stewardship, and "data as a product" practices with domain teams
• Identify and prioritise opportunities to improve data health, accessibility, and user experience
• Support adoption of metadata, quality, and lifecycle controls with governance partners
• Drive data literacy by uplifting skills across analyst and product communities
• Lead through influence in a federated model, aligning stakeholders and driving change

Your work enables faster, safer, more effective use of data across SEEK — powering decision-making and next-gen AI.

At Continental Tires we want to make analytical excellence an integral part of all processes that have impact on leveraging business value. In cooperation with our domain experts from the Business units we identify business problems which can be supported and solved by using methods from Advanced Analytics and Artificial Intelligence. Only with data insights we will be able to adapt to changes and mitigate risks in a constantly changing economy.

As Data Scientist you will work in a global team of experts delivering Data Science products and know-how to diverse areas all over the tire business. Our Data Science Hub in Portugal will be integral part of this team.

Responsibilities

• Be integral part of projects in an area of specialization like Sales, Marketing or Supply Chain Management.
• Work on our Sales and Marketing data to create forecasts, customer insights and connect the dots that others don’t see.
• Work with domain experts to understand their problems and solve them with data.
• Be a partner in connecting the necessary experts from business and IT to solve problems.
• Get involved into different tasks at once and involve yourself with our team to get the support you need.
• Support in shaping the processes and organization to leverage the business value Data Science can bring to our enterprise.

• Develop, implement, and maintain comprehensive HSE programs and policies tailored to high voltage substation construction activities.
• Ensure project is in compliance with relevant local and national health, safety, and environmental regulations, as well as the company standards and policies.
• To provide the best practice HSE solution on day-to-day monitor and report to maintain high HSE standards in the field.
• Conduct regular risk assessments and job hazard analyses to identify potential hazards and implement appropriate control measures.
• Conduct regular site inspections and audits to monitor compliance with HSE standards. Identify areas for improvement and implement corrective actions.
• to monitor and review the implementation of HSE standard at the high voltage substation construction site.
• Ensuring project meeting that we chair starts with a Health & Safety moment which we initiate through our dedicated Health, Safety, Wellbeing App
• Ensuring all employees, contractors, subcontractors and vendors on site have a requisite level of compliant safety training resulting in them having knowledge of high degree of hazard awareness.
• Adopting a collaborative approach to health and safety across the entire project team promoting safety accountability at all levels, including from the client and owner.
• Setting a zero-tolerance health and safety culture.
• Adopting health and safety assurance process emphasizes leading indicators, which are effective in the developing mitigations to risks on the project site
• Proactively undertaking site supervision of works activities to address safety concerns or identified risk activities.

We are looking for a skilled Data Engineer with strong experience in cloud platforms like Amazon Web Services and Microsoft Azure. The candidate will be responsible for building scalable data pipelines, managing large datasets, and supporting analytics and reporting systems.