Total 455 information analyst job vacancies in Information Technology category in The Philippines

Avensys is a reputed global IT professional services company headquartered in Singapore. Our service spectrum includes enterprise solution consulting, business intelligence, business process automation and managed services. Given our decade of success, we have evolved to become one of the top trusted providers in Singapore and service a client base across banking and financial services, insurance, information technology, healthcare, retail and supply chain.

We are currently looking to hire a Application Engineer / Business Analyst (Oracle PL/SQL, Pro*C, Production Support) .This is an exciting opportunity to expand your skill set, achieve job satisfaction and work-life balance. More details as below.
Job Description

JobDescription

-Develop and maintain Unix Shell scripts and Pro*C and Power Builderapplications

-Design and implement Oracle stored procedures and triggers

-Perform impact analysis for new enhancements

-Act in a Business Analyst capacity including:- Interacting with business users

-Gathering and documenting requirements

-Preparing functional and technical specifications

-Understanding core business processes and working independently

-Provide production support, issue troubleshooting, and batch job monitoring

-Coordinate with cross-functional teams to ensure smooth delivery and systemstability

Qualifications

MandatorySkillset Required:

-Strong experience in Unix/Linux Shell scripting

-Hands-on experience in Pro*C programming

-Expertise in Oracle DB, including Stored Procedures, Triggers, and Packages

-Strong SQL & PL/SQL knowledge

-5–7 years of hands-on development experience

-Experience handling production support and batch jobs

Additional/ Good to Have Skills:

-Experience in PowerBuilder programming

-Knowledge of Java or Python or JSON programming

WHAT’S ON OFFER

You will be remunerated with an excellent base salary and entitled to attractive company benefits. Additionally, you will get the opportunity to enjoy a fun and collaborative work environment, alongside a strong career progression.

To submit your application, please apply online or email your UPDATED CV in Microsoft Word format to khalid@aven-sys.com. Your interest will be treated with strict confidentiality.

Executive Summary

Smart IMS Inc provides Digital technology & Cloud transformation services, Application & Infrastructure Management Services, Unified Communications, and Insurance implementation services to customers across the Americas, Europe, Middle East, and Asia-Pacific regions.

As the trusted technology and business partner of leading MNCs, including Global Investment Banks, Smart IMS is also a Microsoft Gold Certified Partner, Oracle Platinum Partner and AWS MSP Partner.

We currently have an opening for a Data Centre Cabling Coordinator role for our client in Singapore which is a leading global investment bank. The Cabling Coordinator is responsible for coordinating and managing structured cabling requests across the APAC region, covering data centres and network rooms. 

The role ensures timely delivery, standardisation, and compliance with cabling standards while supporting regional projects and operational requests, including after‑hours and weekend activities when required.

Key Responsibilities

• Act as the regional point of contact for APAC cabling requests (MACs, projects, refreshes).
• Coordinate cabling activities with local sites, vendors, and internal teams.
• Ensure cabling works comply with global standards, labelling conventions, and best practices.
• Review cabling designs, rack layouts, and pathways for feasibility and scalability.
• Track request status, manage schedules, and provide regular updates to stakeholders.
• Validate work completion, testing results, and documentation.
• Support weekend and after‑hours cabling activities for critical implementations.

Required Skills & Experience

• Experience coordinating structured cabling in data centres and network rooms.
• Strong knowledge of fibre and copper cabling standards and practices.
• Experience working across multiple countries/sites in APAC will be an advantage
• Strong coordination, communication, and documentation skills.

Working Conditions

• Regional APAC coverage with occasional weekend and after‑hours support as required.

Executive Summary

Smart IMS Inc provides Digital technology & Cloud transformation services, Application & Infrastructure Management Services, Unified Communications and Insurance implementation services to customers across the Americas, Europe, Middle East, and Asia-Pacific regions. As the trusted technology and business partner of leading MNCs, including Global Investment Banks, Smart IMS is also a Microsoft Gold Certified Partner, Oracle Platinum Partner and AWS MSP Partner.

We are looking to hire an APAC Payments Technology Strategy & Risk Manager for our client in Singapore which is a leading global investment bank.

What you can expect:

The role will sit within ITGPST (International Technology and Global Payments Solutions Technology) APAC Strategy and Innovation function, which works with Application Managers, Enterprise Control functions and COOs across the line of businesses to establish Payments Technology Strategy.

You will oversee the analysis of internal and external change drivers and curating forward looking technology strategy for Payments flows across the region.

What you will do:

• Manage senior stakeholders communication and reporting.
• Analyse current state of technology across payment products for 12 APAC Markets.
• Develop and socialize 3, 5 and 10 year technology strategy articulating change drivers and innovation opportunities.
• Drive risk engagement & management and issue identification;
• Foster the Identify, Escalate, Debate risk culture.
• Assess regulatory (eg MAS, HKMA, CBRC, OJK, RBI, etc) changes impacting technology and operations and drive related risk mitigation program with required stakeholders.
• Identify opportunities for enhancing or streamlining execution of technology management processes; partner across multiple divisions to execute.
• Assist business and process owners with identifying the most significant risks including Audit Issues, Self-Identified Audit Issues, Compliance Identified Audit Issues, Regulatory Issues
• Practice and promote good risk culture and risk management within ITGPST, leading participation in technology strategy activities.

Your background:

• Individual with Banking/Payments domain experience.
• Bachelor’s degree in IT with minimum 5-7 plus years of experience.
• Relevant experience in executing Product Owner or Business Analysis functions within Banking IT/Finance IT domain.
• Knowledge of APAC regulations, payment products & understanding of regulatory risk management preferred.
• Ability to ask right questions, conduct deep dives and communicate with relevant stakeholders are the most important, desired skills.

Executive Summary

Smart IMS Inc provides Digital technology & Cloud transformation services, Application & Infrastructure Management Services, Unified Communications and Insurance implementation services to customers across the Americas, Europe, Middle East, and Asia-Pacific regions. As the trusted technology and business partner of leading MNCs, including Global Investment Banks, Smart IMS is also a Microsoft Gold Certified Partner, Oracle Platinum Partner and AWS MSP Partner.

We are looking to hire a Front Office Trading Application Support Specialist to provide frontline production support for our client in Singapore which is a top global investment bank. They will look to cover trading and front office applications across multiple asset classes, supporting business-critical trading activities and ensuring platform stability and availability.

This role is the key focal point for the customer/client /associate experience, restoring complex/major production incidents under tight Service Level Agreements (SLAs), pursuing root-cause and problem resolution follow-up.

Key Responsibilities:

• Provide Front Office production/application support for trading applications across asset classes like FX, Interest Rates, Credit, Commodities, Fixed Income products.
• Work closely with traders and business stakeholders to investigate and resolve application, trade flow, and production issues.
• Monitor trading platforms, application health, batch processes, and operational workflows to ensure system stability and availability.
• Manage Incidents and Problem management.
• Perform start of day, End of Day and start of week checks.
• Analyze application logs, activity logs, and batch logs using Python scripting and SQL queries for troubleshooting and issue investigation.
• Identify opportunities for automation and automate manual tasks being performed by team.

Key Requirements:

• 3–4 years of relevant Front Office / Trading Application Support experience within investment banking or financial services environments.
• Candidates with strong technical capabilities and good financial markets knowledge but without direct support experience may also be considered.
• Good understanding of financial markets and ideally more than 1 asset class such as FX, Interest Rates, Commodities, Fixed Income, or related trading products.
• Hands on experience on SQL queries and commands.
• Good Python scripting knowledge, particularly for log analysis, troubleshooting, and operational support activities.
• Experience in production support, incident management, and troubleshooting within a trading or financial systems environment.
• Experience in Monitoring tools e.g. ITRS Geneos, Splunk, Elastic, Dynatrace etc
• Strong analytical, troubleshooting, and problem-solving skills.
• Ability to work in a fast-paced Front Office support environment with direct business user interaction.
• Strong communication and stakeholder management skills.

Good to Have Skills

• Exposure to Front Office trading systems or electronic trading platforms.
• Experience supporting global markets or capital markets applications.
• Knowledge of scripting or automation for operational support improvements.
• Tableau, Ansible, TOSCA, or related tooling exposure is a plus.
• CFA Certification will be a plus

Dear Applicant,

If you or someone you know isinterested, please send the CV directly to VeronicaE@evolutionjobs.sg (mostpreferred, as I may overlook some CVs due to the high volume).

Please note that visasponsorship is not available at this time.

JD

Key Responsibilities:

Domain &Functional SME

• Subject Matter Expert (SME) for Collections processes, including delinquency and workflow management, recoveries, write-offs, legal collections, and customer communications.
• Translate business requirements into functional and technical specifications aligned with the target collections platform.
• Validate functional designs, configurations, and solution approaches to ensure they meet business intent and regulatory requirements.

Conversion &Data Migration Delivery

• Lead conversion and data migration strategy, including scope definition, data mapping, reconciliation, and validation.
• Oversee end-to-end legacy-to-target data conversion, ensuring data quality, completeness, and accuracy.
• Define and manage mock conversions, dress rehearsals, and cutover planning.
• Drive resolution of data issues, gaps, and defects in collaboration with technical teams.
• Coordinate with architecture, development, testing, and infrastructure teams to ensure aligned delivery.
• Manage dependencies across workstreams, vendors, and system integrators.
• Ensure adherence to the bank’s delivery standards, SDLC, and governance frameworks.

Testing &Readiness

• Oversee functional, system, integration, and testing from a business and SME perspective.
• Ensure test scenarios fully cover collections processes, conversion outcomes, and edge cases.
• Support business readiness activities including operational handover, and hypercare.

Stakeholder& Vendor Management

• Serve as a primary liaison between business, IT, vendors, and system integrators.
• Provide clear status reporting, risk management, and issue escalation to senior stakeholders.
• Guide vendors on functional expectations and validate delivered outcomes.

The Data Processing Specialist is responsible for instructions of client deliverables, coding and data input validation focusing on specific industry/category or set of categories. To create and deliver client outputs 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 and colleagues.
• This role is to support Korea Market.

Project Description: We are seeking a skilled and experienced Data Engineer to join our Data & Analytics team. The ideal candidate will have a strong background in Snowflake SQL, investment reporting data, and financial knowledge related to investment management. As a Data Engineer, you will play a critical role in designing, implementing, and maintaining our data infrastructure to support investment reporting and analytics.

Responsibilities:
- Design, implement, and maintain scalable and efficient data pipelines using Snowflake and SQL.
- Develop data models, ETL processes, and data integration workflows to ensure high data quality and reliability.
- Optimize data storage and retrieval performance in Snowflake.

Data Manipulation and Transformation:
- Perform complex data manipulation and transformation using SQL to prepare data for analysis and reporting.
- Implement data cleansing, aggregation, and enrichment processes to ensure data accuracy and consistency.
- Develop and maintain reusable SQL scripts and stored procedures for data processing.

Collaboration and Support:
- Collaborate with data analysts and other stakeholders to understand data requirements and deliver solutions that meet their needs.
- Provide technical guidance and mentorship to junior data engineers and other team members.
- Work closely with IT and DevOps teams to ensure seamless data integration and deployment.
- Data Layer Preparation:

Design and build data layers to support various analytical and reporting needs.
- Ensure data layers are well-documented, easily accessible, and performant.
- Implement data governance and security best practices to protect sensitive information.
- Performance Tuning and Optimization:

Monitor and optimize the performance of data pipelines, databases, and queries.
- Identify and resolve performance bottlenecks to ensure timely and efficient data processing.
- Stay up-to-date with the latest trends and best practices in data engineering and apply them to improve our data infrastructure.
Mandatory Skills Description:
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field

Experience:
- Minimum of 1-2 years of experience in data engineering, with a strong focus on SQL and data manipulation.
- Proven experience working with Snowflake or other cloud-based data warehousing solutions.
- Experience with Tableau
- Strong background in designing data model and building scalable data pipelines and data models.
- Solid understanding of financial instruments, investment operations, investment reporting and portfolio management concepts.
- Knowledge of investment performance measurement, risk analysis, and portfolio management concepts.

Skills:
- Expert-level proficiency in SQL, with the ability to write complex queries and optimize them for performance.
- Strong experience with ETL tools and processes.
- Familiarity with Tableau
- Knowledge of data governance, security, and compliance best practices.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills.

Nice-to-Have Skills Description:
- Familiarity with programming languages such as Python, LLM, Langchain

The Data Center Operations Engineer is responsible for the daily operation, maintenance, and optimization of data center infrastructure, including electrical, HVAC, and ELV systems. This role ensures facility reliability, safety, and efficiency through proactive monitoring, risk management, and continuous improvement.

Perform daily operation, maintenance, and routine inspectionsprovement. The position requires hands-on technical ability, strong analytical skills, and strict adherence to operational and emergency procedures.

Perform daily operation, maintenance, and routine inspectionsprovement. The position requires hands-on technical ability, strong analytical skills, and strict adherence to operational and emergency procedures.

of data center electrical, HVAC, and ELV systems, ensuring stable and continuous operation.

Execute scheduled preventive maintenance (PM) plans and handle system faults promptly and accurately.

Conduct facility safety, risk, capacity, and availability management, continuously optimizing systems to improve operational efficiency and cost-effectiveness.

Maintain infrastructure data accuracy (100%), regularly check alarm configurations, and ensure monitoring platform stability and reliability.

Conduct facility inspections per company requirements, including equipment status checks, MOP (Method of Procedure) review, and maintenance tracking.

Respond rapidly to incidents and emergencies following EOP (Emergency Operation Procedures) and incident management standards; provide on-site support and reporting.

Analyze root causes of incidents, conduct post-event reviews, and summarize lessons learned for continuous improvement.

Familiarize with the power distribution, cooling, and ELV architecture within assigned data centers; quickly locate and resolve faults when issues occur.

Prepare and implement change MOPs independently, ensuring no incidents result from planned changes.

Participate in optimization and upgrade projects, ensuring smooth on-site execution and coordination.

Propose technical improvements or modification plans for infrastructure monitoring, capacity, safety, and availability.

Provide technical guidance, mentorship, and training for frontline operation staff.

Ensure quick response and arrival per incident management policy.

Strictly comply with all operational procedures, safety policies, and company regulations.

Complete other assignments as defined in the Service Contract, Outsourcing Specification, or as required by the company or project team.
Qualifications

Education: Full-time college diploma or above (Associate Degree or higher).

Major: Electrical Engineering, HVAC, or other related disciplines.

Experience: Minimum 3 years of relevant experience in data center facility operation and maintenance.

Strong understanding of data center infrastructure systems, including electrical distribution, cooling, ELV, and monitoring systems.

Familiar with mainstream facility brands and models, capable of identifying differences and proposing optimization suggestions.

Demonstrated ability to conduct root cause analysis and implement effective preventive actions.

Capable of independent MOP preparation and execution with zero error rate.

Responsible for B2B integration system and implementing EDI onboard (Electronic Data Interchange). Ensuring smooth and success onboard adoption and continuous engagement with trading partners. This role works closely with internal and external stakeholders to coordinate onboarding activities. Understanding of EDI concept and working knowledge with RossetaNet and other exchange method standards to enable seamless data exchange between the organization and trading partners.

Key Responsibilities:

• Support and communicate with IT, Business and External Partners.
• Coordinate end-to-end onboarding process for new B2B trading partners.
• Prepare and validate onboarding documentation and required system setup.
• Work together with business to conduct onboarding sessions, communication for technical and business B2B specification. Including partner testing.
• Strong problem-solving and decision-making skills to interpret and or analyse especially during interface testing.
• Robust analytical skills to review and interpret business documents (FDS and FUT).
• Handle SAP IDOC mapping, Partner profile and output condition conversion configuration and interfaces testing.

As a Senior Marketing Data Analyst, you will leverage your expertise to directly impact the marketing strategy and growth of our 16 markets by delivering actionable insights and advanced analytics solutions. In this role, you’ll work as an embedded thought partner with senior marketing stakeholders to influence strategy and marketing tactics, mentor junior analysts, and leverage AI to build the future of marketing analytics. This is a high-visibility position that plays a pivotal role in data-driven decision-making.

• Strategic Marketing Analysis: Design and execute robust analytical methodologies ranging from A/B tests/geo testing/holdouts to MMM modeling in order to measure incremental ROI and make actionable recommendations regarding marketing spend optimization and tactical execution of marketing initiatives
• Stakeholder Engagement & Influence: Collaborate closely with senior marketing partners to understand strategic objectives, recommend analytics solutions, negotiate priorities, and present insights effectively.
• Advanced Data Modeling & Measurement: Define measurement frameworks and metric definitions for key marketing initiatives; Lead the development of complex SQL models to implement as well as transform massive datasets into actionable insights using tools like BigQuery and dbt.
• Strategic Reporting & Visualization: Design and build compelling, user-friendly data assets including both traditional dashboards (e.g. Looker, Tableau) and agentic solutions (e.g. root-cause analysis agents) that facilitate decision-making for business leaders. 
• Mentorship & Development: Provide guidance and mentorship to junior analysts, enhancing their technical skills and fostering a collaborative team environment.
• AI-Driven Analytics & Automation: Identify, design, and implement AI-powered solutions that transform how marketing analytics operates — including agentic workflows (e.g. root-cause analysis agents, automated anomaly detection), LLM-assisted insight generation, and prompt-engineered pipelines. Translate repeatable analyst workflows into scalable AI tools. Act as a driver of AI adoption within the team, setting standards and upskilling junior analysts.

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!

Get to Know the Team

The Integrity team is dedicated to safeguarding all Grab users. We ensure user safety, prevent fraud, and help the Grab ecosystem achieve regulatory compliance. This team involves itself in the entire data lifecycle, from analyzing user behavior to developing detection and prevention modules across user onboarding and transaction journeys.

Get to Know the Role

Reporting to an Analytics Manager in the Integrity team, you will implement controls that protect Grab's ecosystem. You will assist with deep-dive analysis on user behaviors, product funnels, and transaction patterns to help identify potential risks and new fraud typologies. Your analytical support will contribute to the design of risk detection strategies, optimization of AI/Machine Learning models, and implementation of crucial risk controls to safeguard a diverse user base.

You will base onsite in our Petaling Jaya office.

The Critical Tasks You Will Perform

• Assist in measuring and analyzing key risk metrics, such as fraud loss, business/product performance, and the performance/effectiveness of existing risk controls across Grab business verticals.
• Support the identification of new fraud and risk patterns by extracting and visualizing data, contributing to the development of data-driven rules and strategies.
• Perform statistical analyses to improve risk detection systems and ensure data integrity.
• Contribute to reporting and data visibility efforts by preparing datasets and dashboards to empower stakeholders (Product, Engineering, Risk Operations) with insights on key risk metrics and evolving attack patterns.
• Support data extractions and preparations required for internal audits and compliance assessments.
• Help design and analyze experiments to determine the effectiveness of new or existing risk controls within the platforms.

In this role, you will become part of the Performance Excellence Pillar. The role is intended to work on Quality escape, RCA, KPI, and strategic prediction by analyzing data countries/clusters. You will have the opportunity to lead continuous improvement projects, according to the requirements, and deliver the expected business impacts. You will be working closely with Process Engineers, BAU Leads, Transformation on compliance-related initiatives and local projects.

• Analyze and identify areas for improvement in BAU (Business as Usual) processes and drive convergence of processes and tools
• Identify and implement solutions that translate into standardization and process efficiency while balancing local BAU needs
• Evaluate, develop, and implement policies and procedures, mapping business processes, capturing and sharing best practices between the respective countries and regions
• Facilitate and organize improvement and problem-solving workshops, brainstorming with stream members
• Work with metrics and data to identify improvement opportunities, delivering data-driven analysis and business cases
• Cooperate with Global Enablement, Governance, Process Owners, and Operations leaders to ensure we maintain high-quality deliverables and our delivery standards are met or exceeded.
• Utilize the AI concept to streamline the process to gain the operation efficient.

• Responsible in assisting Laboratory Technical & Compliance Manager on day-to-day laboratory operation for assigned section towards direction of effective implementation of quality system ISO/IEC 17025, SAMM policy and SGS GCSC requirement
• Assist Technical Advisor /Technical Specialist on the new method development as per business need.
• Respond to queries raise by customer / business / customer support team within agreed timeframe, with minimal supervision from Technical Advisor/ Specialist
• Collaborate with Operation team on investigation and deliver the outcome of investigation professionally to the party who raise the queries within agreed timeframe
• Periodically review, enhance and update of Working Instruction and Standard Operating Procedures when needed
• Working towards enhancement of existing lab process/methodology for lab efficiency improvement
• Work with laboratory operation team on root-cause investigation of all non-conformities and/or customer complaints with proposal of appropriate corrective and preventive actions to address the issue promptly.
• Provide technical training to laboratory personnel to ensure the laboratory competency and conduct refreshment training when needed.
• Insight into new technologies and initiative for enhancement
• Assist to ensure Good Housekeeping and Good Laboratory practice in the laboratory.
• Adherence to SGS Health, Safety and Environment (HSE) Policy by uphold a good safety behavior and exercising necessary standard and process when carry out your responsibilities at all times to ensure compliance to the HSE requirements.
• Perform any other responsibilities as assigned by your reporting manager and/or Senior Management

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 

As a Senior Data Analyst, you will leverage your expertise to directly impact the growth of our 16 markets by delivering actionable insights and advanced analytics solutions. In this role, you’ll work closely with senior stakeholders, mentor junior analysts, and shape the analytics function within one of our functional analytics teams. This is a high-visibility position that plays a pivotal role in data-driven decision-making.

• Own a risk & fraud problem domain end-to-end, framing ambiguous problems and delivering analytical solutions that drive measurable improvements in cost, efficiency, service performance and customer experience.
• Act as a thought partner to business and domain leads, shaping problem statements, challenging assumptions, and co-developing data-driven solutions to high-impact risk and fraud challenges.
• Apply advanced analytical methods, including simulation, optimisation, and statistical modelling, to detect and solve complex problems such as incentive abuse, refund claim abuse and.
• Determine causal impact in operational environments, designing and analyzing experiments (e.g., cluster, switchback) and applying causal inference methods (e.g., DiD, synthetic controls) to inform business decisions.
• Build and scale data products and analytical tools, leveraging modern data stacks and agentic AI workflows to enable deep dives, self-serve analytics, and faster decision-making.
• Drive exploratory and root cause analyses, identifying performance drivers and uncovering opportunities for optimization across the risk and fraud infrastructure.
• Collaborate cross-functionally with data and engineering teams, contributing to data modeling, metric definitions, and scalable solutions that accelerate time-to-insight.
• Communicate with clarity and influence, translating complex analyses into actionable recommendations and driving alignment across technical and business stakeholders.

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!