Total 572 command center analyst job vacancies in Information Technology category in The Philippines

Job Summary

We are seeking a skilled and detail-oriented Analyst Programmer to join our team. In this role, you will be responsible for analyzing user requirements, designing system solutions, developing applications, and maintaining software systems. You will work closely with business stakeholders and technical teams to deliver high-quality, scalable solutions.

Key Responsibilities

• Analyze business requirements and translate them into technical specifications
• Design, develop, test, and implement software applications
• Maintain and enhance existing systems to improve performance and reliability
• Collaborate with stakeholders to gather and clarify requirements
• Perform system integration, debugging, and troubleshooting
• Write clean, efficient, and well-documented code
• Conduct code reviews and ensure adherence to coding standards
• Support deployment activities and provide post-implementation support
• Prepare technical documentation, including system design and user guides
• Stay updated with emerging technologies and propose improvements

Required Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or related field
• Proven experience as a Programmer, Software Developer, or similar role
• Strong knowledge of programming languages (e.g., Java, C#, Python, or similar)
• Experience with databases (SQL, Oracle, MySQL, etc.)
• Familiarity with software development lifecycle (SDLC) methodologies
• Strong analytical and problem-solving skills
• Good understanding of system design and architecture

Your Mission

As a Computer Vision Engineer, you will play a pivotal role in designing, implementing, and optimizing computer vision algorithms that are integral to our robotic systems. You will work closely with a multidisciplinary team of engineers and researchers to develop software and in-house core algorithm. This role demands a blend of creativity and technical expertise to tackle challenging problems and contribute to our mission of revolutionizing robotics applications in manufacturing and assembly.

What To Expect

• Design and implement advanced computer vision algorithms for 3D reconstruction, image processing, object detection, recognition, tracking, and scene understanding to enhance the capabilities of our robotic systems.
• Develop robust software solutions that integrate computer vision algorithms into our robotic platforms, ensuring high performance and reliability.
• Collaborate with other engineers and researchers to prototype new concepts and bring innovative technologies from conception to deployment in real-world applications.
• Continuously research and stay updated on the latest advancements in computer vision and machine learning technologies to inform development strategies.
• Optimize existing computer vision algorithms for efficiency, including improving accuracy, reducing computational resources, and achieving real-time performance.
• Conduct rigorous testing and validation of computer vision components to ensure system performance and reliability under diverse and challenging conditions.
• Document software designs, implementation details, and testing protocols to facilitate knowledge sharing and ensure reproducibility.

What You'll Bring

• A Master's or Ph.D. degree in Computer Science, Electrical Engineering, Robotics, or a related field, with more than 2 years of industrial experience focusing on computer vision and robotics.
• Solid foundation in computer vision, image processing (e.g. edge detection, denoising), multiple view geometry, depth estimation, machine learning techniques with proven experience developing and deploying algorithms in real-world applications. Please note that knowledge in deep learning is required but not sufficient.
• Expertise in camera calibration, like camera intrinsic calibration, camera-to-camera calibration and robot-to-camera calibration with proven experience on developing and deploying calibration algorithms.
• Expertise in programming languages such as C++, Python and CUDA, and familiarity with computer vision libraries (e.g., OpenCV, PCL) and machine learning frameworks (e.g., TensorFlow, PyTorch).
• Expertise in calibration and 3D reconstruction (nerf and gaussian).
• Experience with point cloud processing is highly desirable.
• Ability to work effectively in a collaborative team environment and communicate complex technical concepts clearly and concisely.
• Creative problem-solving skills and a passion for innovation in robotics and computer vision technologies.

Your Mission

This position is responsible for applying data-driven problem-solving, data science, and optimization techniques to resolve real-life manufacturing problems and deploy the ideated solutions in a production environment.

What To Expect

[Data Analysis & Insights Generation]

• Analyze large, complex datasets to identify trends, patterns, and derive key underlying drivers of performance and how to further optimize them
• Identify opportunities for automation, process optimization, and innovation using data-driven approaches

[Data Science Solutions]

• Design, build, and deploy machine learning models and algorithms to solve business challenges and improve operational efficiency
• Collaborate with other team members to integrate AI/ML solutions into use case applications
• Train engineers and technicians to leverage the insights for improving their day-to-day performance

[Data Visualization & Reporting]

• Create interactive dashboards, reports, and visualizations to communicate insights to non-technical stakeholders.
• Use tools like Power BI, or Python libraries to present findings effectively

[Collaboration & Stakeholder Engagement]

• Participate as a data scientist in multi-disciplinary project teams aiming to improve the performance of our production environment in specific areas such as logistics and supply chain, assembly, maintenance, and quality
• Act as a subject matter expert on data science, providing guidance and support to project teams
• Recommend and implement new tools, techniques, and methodologies to enhance project outcomes

What You'll Bring

• Bachelor's or Master's degree in Industrial Engineering, Computer Science, Statistics, Mathematics, or equivalent practical experience.
• 5 years of project execution experience as a data scientist, resolving industrial problems across the value chain, including manufacturing, and ensuring the adoption of data science solutions.
• Preferred experience in the manufacturing and/or automotive industry.
• Strongly preferred experience in implementing data science and/or AI projects in real-life industrial environments (large POCs or at-scale deployments).
• Critical end-to-end problem-solving skills, including rapid and rigorous issue analysis, idea development and implementation, and feasibility demonstration and deployment at scale.
• Experience with data visualization tools like Tableau, Power BI
• Experience in applying Regression/Classification/Clustering models, Large scale data analysis, Time series analysis, Forecasting models, or Kernel-based methods.
• Experience in algorithm development using Mathematical programming (Linear programming, Mixed-integer programming), (Meta)Heuristic algorithms, Stochastic Process, or Combinatorial Optimization.
• Expertise in processing large-scale datasets in distributed data frameworks (Hadoop, Spark, or Hive).
• Expertise in data mining frameworks such as PyTorch, TensorFlow, Scikit-learn, or MLlib.
• Expertise in applying machine learning, Generative AI, LLMs is a plus.

Your Mission

This position is responsible for ensuring the stable operation, continuous improvement, and performance optimization of AMR and Fleet Management Systems, while leading Proof of Concept (PoC) initiatives in collaboration with headquarters to enhance system capability and scalability. 

What To Expect

• Ensure the stable and scalable operation of AMRs, mobile robots, and material handling systems aligned with the SDF strategy.

• Enhance system robustness and operational continuity through algorithm optimization and hardware performance improvements.

• Identify operational pain points and define improvement roadmaps to resolve performance and reliability issues.

• Lead the development and implementation of improvement initiatives across robotics and transport systems.

• Optimize multi-robot coordination, path planning, task allocation, and traffic control to maximize throughput and efficiency.

• Integrate robotics systems with MES, WMS, and factory digital platforms within the Software Defined Factory (SDF) architecture.

• Establish and monitor KPIs (e.g., uptime, throughput, cycle time) to drive data-driven performance improvements.

• Standardize best practices and system architecture to ensure scalability and maintainability.

• Lead HQ-driven PoC projects and validate new technologies for plant deployment.

• Enable factory-wide horizontal deployment and scalable expansion across production lines and plants.

What You'll Bring

• Bachelor’s or Master’s degree in Robotics, Computer Science, Electrical or Mechanical Engineering, or a related field.

• 5+ years of experience in AMR/AGV, mobile robotics, or material handling system operations and optimization.

• Hands-on experience with AMR and fleet management systems, including multi-robot coordination, automation system integration, and scalable deployment.

• Strong expertise in algorithm optimization, including path planning, SLAM, and task allocation.

• Proven experience in system reliability enhancement and hardware performance improvement.

• Experience integrating robotics systems with MES, WMS, and factory digital platforms within SDF-based architectures.

• Demonstrated ability to establish and monitor KPIs to drive data-driven performance improvement.

• Proven track record in identifying operational issues, leading system performance optimization initiatives, and resolving complex technical challenges.

• Experience collaborating with cross-functional and/or global teams in manufacturing environments.

Your Mission

As a Computer Vision Engineer, you will play a pivotal role in designing, implementing, and optimizing computer vision algorithms that are integral to our robotic systems. You will work closely with a multidisciplinary team of engineers and researchers to develop software and in-house core algorithm. This role demands a blend of creativity and technical expertise to tackle challenging problems and contribute to our mission of revolutionizing robotics applications in manufacturing and assembly.

What To Expect

• Design and implement advanced computer vision algorithms for 3D reconstruction, image processing, object detection, recognition, tracking, and scene understanding to enhance the capabilities of our robotic systems.
• Develop robust software solutions that integrate computer vision algorithms into our robotic platforms, ensuring high performance and reliability.
• Collaborate with other engineers and researchers to prototype new concepts and bring innovative technologies from conception to deployment in real-world applications.
• Continuously research and stay updated on the latest advancements in computer vision and machine learning technologies to inform development strategies.
• Optimize existing computer vision algorithms for efficiency, including improving accuracy, reducing computational resources, and achieving real-time performance.
• Conduct rigorous testing and validation of computer vision components to ensure system performance and reliability under diverse and challenging conditions.
• Document software designs, implementation details, and testing protocols to facilitate knowledge sharing and ensure reproducibility.

What You'll Bring

• A Master's or Ph.D. degree in Computer Science, Electrical Engineering, Robotics, or a related field, with more than 5 years of industrial experience focusing on computer vision and robotics.
• Solid foundation in computer vision, image processing (e.g. edge detection, denoising), multiple view geometry, depth estimation, machine learning techniques with proven experience developing and deploying algorithms in real-world applications. Please note that knowledge in deep learning is required but not sufficient.
• Expertise in camera calibration, like camera intrinsic calibration, camera-to-camera calibration and robot-to-camera calibration with proven experience on developing and deploying calibration algorithms.
• Expertise in programming languages such as C++, Python and CUDA, and familiarity with computer vision libraries (e.g., OpenCV, PCL) and machine learning frameworks (e.g., TensorFlow, PyTorch).
• Expertise in calibration and 3D reconstruction (nerf and gaussian).
• Experience with point cloud processing is highly desirable.
• Ability to work effectively in a collaborative team environment and communicate complex technical concepts clearly and concisely.
• Creative problem-solving skills and a passion for innovation in robotics and computer vision technologies.

Your Mission

This position will be responsible for driving strategic direction and operational excellence for our Software Defined Factory (SDF). This is a great opportunity to apply your talent in software QA, testing the CI/CD pipeline and DevOps. The ideal candidate will have strong programming skills in with expertise with modern testing frameworks like Selenium, Playwright, & deep experience with CI/CD pipeline integration.

What To Expect

[Technical DevOps]

• Establish and enforce robust testing frameworks, combining manual and automated testing to ensure product quality, compliance, and reliability.
• Design and develop automated test scripts that validate functionality without manual intervention
• Build and maintain automated test suites using  modern frameworks (Selenium, Playwright etc)
• Execute comprehensive QA tests across databases, networks, applications, systems, & software
• Perform regular automated testing cycles and regression tests as part of CI/CD pipeline processes
• Create test data setup and cleanup scripts for testing environments
• Champion risk-based testing methodologies to proactively identify vulnerabilities, mitigate risks, and prevent defects early in the development cycle.
• Work closely with development, DevOps, and operations teams to integrate testing seamlessly into CI/CD pipelines and across the software development lifecycle (SDLC).

[Process Improvement & Analysis]

• Locate bugs and quality issues across business, development, and service-level IT processes
• Review test results and document any defects found during testing
• Present quality metrics and testing reports to stakeholder teams

[Technical Implementation]

• Drive innovation in QA by implementing AI-driven test automation, predictive analytics, and modern verification strategies to boost testing efficiency and accuracy.
• Define and configure automation tools and frameworks to enhance testing capabilities, maintain and optimize existing tools
• Develop performance and load tests to validate system scalability

[Documentation & Standards]

• Create comprehensive test plans and automation guidelines
• Establish testing best practices across development teams
• Update test documentation to reflect current processes and procedures
• Ensure compliance and security testing requirements are met through automation

[General]

• Work and collaborate with development teams, DevOps team members during agile sprint planning to manage and identify testing QA requirements. 
• Participate in agile ceremonies including stand-ups, retrospectives, and sprint planning
• Coordinate with product owners/end users to validate requirements and acceptance criteria
• Partner with infrastructure teams to optimize test environment management
• Mentor development teams on automation best practices and conduct training sessions

What You'll Bring

• 4+ years of hands-on experience in quality assurance, testing methodologies, and system validation.
• 3+ years experience with CI/CD pipelines and automated testing integration, and testing tools (Jira, and other SaaS products)
• Strong understanding of Agile, DevOps, and CI/CD practices, including test automation frameworks and tools.
• Strong programming skills in Python, Java, JavaScript, or C#
• Experience testing across multiple technology stacks (databases, networks, applications, etc.)
• Familiarity with public cloud platforms (AWS) for development & testing environments
• Experience with modern front end and back end development (React, Angular, Node.js) and/or PTC Thingworx or similar platforms
• Experience designing and architecting cloud-based data pipelines and micro services
• Experience with databases & relational databases (PostgreSQL, MySQL)
• Experience with containerization (Docker) and serverless architecture
• Knowledge of Infrastructure-as-Code (IaC) & Ansible
• Strong knowledge of automation frameworks to enhance development workflows
• Strong understanding of security best practices and testing principles

Issue Coordination

• Review and understand incoming IT issues and route them to the appropriate support personnel

• Follow up on open cases until resolution

• Ensure all updates are accurately captured in the IT Management System

IT Management System Ownership

• Take ownership of the IT Service Management system

• Ensure tickets are properly logged, updated, assigned, and closed

• Assign cases to the appropriate support staff

• Maintain ticket categories, templates, and basic system configurations

• Generate weekly reports when required

Administrative Support

• Prepare and submit Purchase Orders (POs)

• Consolidate quotations and obtain necessary endorsements

• Maintain simple tracking of Purchase Requisitions (PRs), POs, and vendor activities

Documentation

• Prepare documentation based on discussions and process workflows

• Develop clear and user-friendly manuals for staff

• Update documentation when system or process changes occur

Communication Support

• Liaise with users to gather necessary details for reported issues

• Provide timely updates to users on case progress

• Coordinate with vendors for scheduled work and follow ups

IT Operations Assistance

• Support basic account-related requests

• Prepare meeting notes, summaries, and action items

• Assist in testing cycles and simple User Acceptance Testing (UAT) activities

Additional Responsibilities

• Support company events when required

• Perform any other duties as assigned

• Minimum 3 years of working experience in application testing, development and delivery.
• Minimum 6 years of functional experience in AML transaction monitoring applications, specifically in Actimize preferred.
• Good understanding and experience in Software Development Life Cycle (SDLC).
• Ability to work in a fast-paced, team-oriented environment. Ownership and ability to question and understand processes.
• A strong & assertive communicator in speaking & writing Analytical mindset and good problem solving skills.
• Experience with Oracle PL/SQL, Oracle SQL.
• Good to have: Batch Scripting, Control M, DevOps.

Database (Ability to use and understand for the purpose of analysis and design an investigation) Analyse Requirements and form solutions for the application.

• Works with external application/user teams on E2E executions.

Requirements

• At least 8 years’ experience in Financial Planning & Analysis
• Good understanding of Core Finance processes: Record to Report, Procure to Pay, Order to Cash, Reporting and Analysis
• Ability to deal with complexity and to handle multiple tasks concurrently.
• Proven track record in planning, strategizing and supporting Finance and/or Procurement.
• A "hands on" proactive and self-driven attitude is required, who enjoys challenges and thrives in a fast changing and demanding environment.
• Excellent oral and written communication skills, with ability to interact and influence senior management level.

Purpose of the Role

The Finance Management Lead of technology business planning will be:

• Developing and maintains productive and collaborative relationships with Stake Holders.
• Budgeting and performing budgeting analysis for the Tech department with inputs from Tech and Business Stake Holders.
• Participating in Service Review with Business Units in area of Tech finance.
• Driving and provides support in Cost Optimization.
• Serves as the bridge between Tech and Business Units as a “trusted advisor” on all Tech cost, recharges and procurement matters.
• Collaborates with Tech team leads to resolve operational and project issues related to Finance/Procurement activities.
• Management reporting for the Tech and Operations department.
• Policy and procedure development for the Tech business planning department.

2+ years of experience in B2B, lead generation or marketing analytics.

2+ years of recent SQL & Python experience with a deep understanding of structure and unstructured databases

Basic understanding of Python, R or other language to performance data analytical tasks

Working knowledge in relevant technologies –Salesforces, Teradata, Big Query, Notebooks

Able to drive collaboration within a matrix ed environment.

Bachelor’s degree (Computer science, Information technology, or a similar field.) – MBA or advanced quantitative degree is a plus.

Cash Equities Application Support Technical Lead Analyst is a strategic professional who applies in-depth knowledge, contributing to the development of new techniques and the improvement of processes and workflow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex issues with substantial impact, where taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Strong communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits. Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization.

Responsibilities:

• The Cash Equities Application Support Technical Lead Analyst is responsible to partner with multiple technology teams to ensure appropriate integration of functions to meet goals; identify and define necessary system enhancements; analyze existing system logic, identify problems; and recommend and implements solutions.
• Hands-on Technical SME responsible for driving production incident resolution and implementing preventative measures to avoid technical reoccurrences.
• Partners with multiple technology (including Development and Infrastructure) teams to ensure appropriate integration of functions to meet goals.
• Works closely with Product Owners, Business Analysts and Systems Analysts to determine and document systems impacts and support requirements
• Identifies risks, vulnerabilities, and security issues; communicates impact; proposes risk mitigation options.
• Acts as advisor or coach to new or junior-level analysts; allocates work.
• Provides in-depth analysis with interpretive thinking to define problems and develop innovative solutions.
• Appropriately assess risk when application changes are made or business decisions are made, demonstrating consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
• Participates in a weekend support rotation schedule

Qualifications:

• 8+ year of experience in Front office application support
• Prior experience in Equities or Futures Execution platforms is preferred
• Prior experience in Electronic Execution is mandatory
• Experience installing, configuring or supporting business applications.
• Experience with some programming languages and willingness/ability to learn.
• Advanced execution capabilities and ability to adjust quickly to changes and re-prioritization
• Effective written and verbal communications including ability to explain technical issues in simple terms that non-IT staff can understand.
• Demonstrated analytical skills
• Issue tracking and reporting using tools
• Knowledge/ experience of problem Management Tools.
• Good all-round technical skills
• Effectively share information with other support team members and with other technology teams
• Ability to plan and organize workload
• Consistently demonstrates clear and concise written and verbal communication skills
• Ability to communicate appropriately to relevant stakeholders

How You’ll Succeed

Be conscientious and consistent in identifying security vulnerabilities and working with the respective engineering teams and stakeholders to provide sound guidance and remediations. Be a team player, and a keen learner.

Working at Citi is far more than just a job. A career with us means joining a family of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

Take the next step in your career, apply for this role at Citi today

https://jobs.citi.com/dei

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

• Plan and execute marketing initiatives for AI data center and immersion cooling solutions.
• Create professional content: presentations, solution briefs, case studies, and digital/LinkedIn materials.
• Drive local campaigns, webinars, and events to generate leads and strengthen client engagement.
• Collaborate closely with sales and technical teams to develop customer-facing materials and proposals.
• Represent the company professionally at client meetings and industry events.

Requirements:

• Degree in Engineering, IT, Marketing, Business, or equivalent
• At least 5 years of B2B marketing experience in data centers, IT infrastructure, AI/GPU platforms, or cooling solutions.
• Solid understanding of data center operations, rack layouts, cooling technologies, and GPU-based AI systems.
• Ability to translate technical concepts into clear value propositions for non-technical stakeholders.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to hr@recruit-expert.com

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R1326740

As a Data Operations Analyst, you will support the Business as Usual (BAU) production processes within the Market Insight (MI) team. Your responsibilities will include learning and executing tasks related to client deliverables, product coding, data input validation and Quality Checks with a focus on specific industries or categories. You will work closely with internal and external stakeholders to apply requested changes, ensure timely and accurate data delivery, and investigate root causes of any data-related issues.

Key Responsibilities:

• Ensure data integrity throughout the data processing lifecycle.
• Verify the accuracy and validity of processed data.
• Assist in resolving quality issues raised by local operations, statistic operations, and performance excellence teams.
• Adhere to regional and global standards consistently.
• Communicate effectively with stakeholders to:
  • Understand and implement requested data changes.
  • Raise queries and clarify data-related concerns.
• Maintain positive working relationships and open communication across relevant operations teams to meet client expectations.
• Ensure timely delivery of data outputs in line with service level agreements (SLAs).
• Conduct and document Root Cause Analysis (RCA) for any data errors or delivery issues.
• Maintain clear and structured documentation of processes, findings, and resolutions.

Required Skills & Competencies:

• Strong observation skills to identify product features and anomalies.
• Basic understanding of electronic product categorization, coding logic, and market dynamics.
• High attention to detail, especially during price and data validation checks.
• Proactive approach to problem-solving and issue resolution.
• Proficient in using internet search tools for product research and analysis.
• Strong interpersonal and collaboration skills to work effectively within a larger team and with stakeholders.

Education:

• Graduation is mandatory for this role.

How you will make an impact?  

As part of the FSD Ordering team, you will play a pivotal role in shaping the data landscape that supports product discovery and product decisions the team will take. You’ll help drive fast and informed decisions by delivering reliable, insightful, and actionable data products. Your work will directly influence the development and optimization of key frontend components such as the Shop Homepage, Search Results Page, Product Detail Page, and Customer Portal.  

The FSD Ordering team focuses on enhancing the digital shopping experience for both customers and employees. The team's goal is to provide the tools that enable FSD customers to order online what they need, whenever they need it in the Metro FSD eCommerce shop. 

The team is responsible for maintaining and evolving core features such as personalized lists, order history, banner management, and catalogue tools, while also supporting discovery and decision-making through robust dashboards and analytics. This includes stabilizing existing reporting infrastructure, enabling proactive insights and ensuring seamless integrations.  

Your Responsibilities:   

• Collaborate with central data experts and domain specialists to stabilize and evolve dashboards. 
• Build and maintain dashboards that surface business-critical metrics such as order behavior, banner engagement, and search trends. 
• Partner with Squad Leads to proactively discover new data use cases and drive initiatives that support product and operational goals. 
• Own the scheduling and reliability of queries and dashboards, ensuring consistent performance and data availability. 
• Act as a peer and data advisor to cross-functional teams, including senior leadership, product squads, and internal users. 
• Translate complex datasets into compelling narratives and visualizations that support decision-making and strategic planning. 
• Consolidate and provide customer data to M.SHOP teams, supporting both customer and employee login flows. 
• Promote data literacy and empower teams to use data effectively in their daily work.