1,301 Data Support jobs in the Philippines

Staff4Me is looking for a dedicated and detail-oriented Data Support professional to join our team. In this role, you will be responsible for providing data-related support to various departments, ensuring seamless operations and data accuracy. Your technical skills and problem-solving abilities will help maintain data integrity and facilitate smooth data processing across the organization.

Responsibilities::

• Data Management: Assist in the collection, entry, validation, and maintenance of data across various databases and systems.
• Technical Support: Provide technical assistance to users regarding data-related issues and inquiries, helping to resolve challenges efficiently.
• Reporting: Generate standard and ad-hoc reports to meet the needs of different teams, ensuring data is presented in a clear and actionable format.
• Data Quality Assurance: Conduct regular data audits to identify and rectify discrepancies, ensuring the accuracy and completeness of datasets.
• Collaboration: Work closely with other departments to gather data requirements and provide insights to support decision-making.
• Process Improvement: Identify opportunities for improving data management processes and suggest enhancements to existing systems.

Requirements:

• Education: Bachelor's degree in Data Science, Information Technology, Computer Science, or a related field.
• Experience: Previous experience in a data support role or similar position is desirable.
• Technical Skills: Proficiency in data entry and management tools, along with familiarity with database systems (e.g., SQL).
• Attention to Detail: High attention to detail with a commitment to data accuracy and quality.
• Analytical Skills: Strong problem-solving skills and the ability to analyze data to identify trends and discrepancies.
• Communication Skills: Excellent verbal and written communication skills to effectively interact with team members and stakeholders.
• Organizational Skills: Strong organizational and time management skills, with the ability to prioritize tasks effectively.
• Team Player: Ability to work collaboratively as part of a team while also being self-motivated and able to work independently.

Preferred Qualifications::

• Familiarity with data visualization tools and reporting software, such as Tableau or Power BI.
• Basic knowledge of programming languages (e.g., Python, R) relevant to data analysis.

Benefits:

• Competitive salary and benefits package.
• Opportunity for growth and career development.
• Training and support to enhance technical and customer service skills.
• Work in a dynamic and multicultural environment.

Job Description

TP ICAP operates at the heart of the world's financial, energy and commodities markets.

We are professional intermediaries playing a pivotal role in the world's financial markets, covering FX, Rates, Credit, Equities, Energy & Commodities.

Globally, we are a leading provider of market participants, with execution via a range of regulated venues, covering a full spectrum of over-the-counter (OTC) asset classes. Matching buyers and sellers, we facilitate the development of liquidity and price discovery in these markets and provide insight and context to our clients. We operate a hybrid model where brokers provide business-critical intelligence to clients. It's supplemented by proprietary screens for historical data, analytics and execution functionality.

Our clients include banks, insurance companies, pension and hedge funds, asset managers, energy producers and refiners, as well as risk and compliance managers and charities.

Job Summary

We are seeking a skilled Market Data Engineer to join our team and play a key role in managing and optimizing financial real-time market data systems. The ideal candidate will have a strong background in market data feeds, and experience working with financial exchanges and vendors. This role requires expertise in software development, data engineering, and infrastructure to ensure seamless data distribution and availability.

Key Responsibilities

• Ensuring optimal accuracy and timeliness of Data on a real-time basis while
• implementing monitoring tools to detect data issues.
• Collaborating closely with internal teams and businesses units to support market data needs.
• Integrate, normalize, and distribute market data from various internal financial trading systems and third-party providers.
• Optimize data processing pipelines to ensure low-latency and high-throughput performance.
• Monitor and troubleshoot market data issues, ensuring data integrity and system reliability.
• Support and maintain customer real-time market data feeds.
• Support and maintain real-time market data feeds to vendors, exchanges.
• Implement enhancements to market data infrastructure to improve efficiency and scalability.
• Automate data ingestion, processing, and monitoring using scripting and software development best practices.
• Ensure compliance with exchange policies, licensing agreements, and regulatory requirements.
• Conduct capacity planning and performance tuning for market data applications.
• Maintain comprehensive documentation of data sources, system architecture, and processes.
• Flexibility to stretch and take challenges
• Communication & Interpersonal skills, a team player.
• Attitude to learn and execute
• Role requires individual to work on weekends or public holidays to support or deploy solutions.
• Resilient under pressure, have a mind-set of continuous improvement and can-do desire to provide excellent service.
• Proactive approach to spotting problems, areas for improvement, performance bottlenecks, etc.

Qualifications & Skills Required

• Experience: RMDS/Refinitiv/LSEG Market Data Distribution Platforms such as: (RMDS - Reuters Market Data Systems or RTDS - Real Time Distribution System
• Linux (Red Hat Linux) with Scripting (Bash, Perl, Bash, Tcl)
• Networking (General Concepts: on OSI, TCP/IP, troubleshooting)
• Good to have: AWS Cloud background
• Database: SQL background
• Ability to conduct self-learning, pick up new tools and able to be independent with minimal guidance from the project leads/managers

Knowledge

• Degree in computer science, engineering, mathematics or equivalent
• Understands ideas and has a viewpoint on the markets and economy
• Ability to collaborate with stakeholders outside of the immediate department 'to get the job done'
• A thorough knowledge of at least 1 of the following must be demonstrated:
• Knowledge of market Data Terminals such as EIKON or Bloomberg is a plus
• Basic knowledge of Excel using Real-Time data should be shown

Innovative

• Open to innovative ideas/ experiences and ability to create new ideas, approaches or insights
• Seeks opportunities for improvements
• Handles situations and problems with innovation and creativity

Dynamic & Competitive

• Demonstrates high levels of energy in seeking out and achieving new goals
• Goes that "extra mile"

Qualifications:

Graduate of any course related to Accounting, Commerce and other similar courses.

At least one (1) year of experience in Finance related work

Good organizational, problem solving and analytical skills

Has ARIBA/ SPECTRA or any ERP/ Finance System and MS Excel knowledge

Customer Oriented and has ability to work in fast paced working environment

Ability to work independently

Key Role:

Assistance with the compilation of the Client, vendor requirements and forms with initial review of documents

Follow up lacking requirements needed for accreditation considering the timeliness in accrediting prior to start of media implementation

Assistance with answering of inquiries from vendor

Preparation, creation and updating of Vendor, Client and Product Masterfile in media buying and financial system without error

Checking of the completion of the Client's Vendor Forms and submits requirements for the

accreditation to Client's system

Must be willing to work in BGC Taguig

Job Type: Full-time

Education:

• Bachelor's (Preferred)

Work Location: In person

Job Description:

Medical Data Support is assigned to process CPT mapping and encoding of facility rate sheets. He /She contributes to the company by providing updated data information of affiliated medical providers needed by our internal and external clients.

Job Qualifications:

• College graduate preferably Marketing, Business Management, and other related courses

Job Competencies:

• Computer Literate
• Able to prioritize and multitask
• Basic knowledge in writing correspondences
• Detail-oriented

Apply through our career page and enjoy the hiring process at the comfort of your home

For more info about our company and other list of openings, kindly check our website at or visit our Facebook careers page at

Job Type: Full-time

Pay: Php20, Php20,800.00 per month

Benefits:

• Health insurance
• Opportunities for promotion
• Paid training
• Promotion to permanent employee

Work Location: In person

Job Description
Sponsorship:

GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE.  DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.

Work Arrangement:
This role is categorized as hybrid on
night shift
. This means the successful candidate is expected to report to the office three times per week or other frequency dictated by the business.

The Role
The Data Support Analyst will serve as a critical team member responsible for

supporting the smooth flow and accuracy of operational data across multiple internal and external systems. This role focuses on monitoring data ingestion and processing across key data pipelines, identifying and resolving issues in real-time, and collaborating with cross-functional teams to ensure the integrity of vehicle inventory, sales, service, and parts datasets. The Analyst plays a key part in diagnosing disruptions in batch jobs, flagging performance issues, and communicating status updates or escalations as needed.

What You'll Do

• Build upon prior work experiences to propose and implement business solutions for more complex business problems with some independent judgement and autonomy
• Analyze business results (vs. forecast, budget and prior year), understand and explain changes in business drivers, drive forecast accuracy, and recommend improvements- develop and utilize financial analysis tools to proactively evaluate financial performance and business risk (e.g. financial models, business cases, run rate, advanced data analytics)
• Prepare reporting package for monthly operating review and/or Key performance Indicators (KPIs), selecting the best presentation method for audience
• Support the budget and Long Term plan development
• Analyze trends to establish aggressive yet achievable targets
• Form relationships with functional stakeholders and business partners- Display deep understanding of how position / operating staff impacts the Income Statement and Cash Flow
• Champion continuous improvement and innovation (e.g. streamline process, improve data analytics)
• Effectively communicate financial performance and results of analysis performed to Finance Leadership and Key business partners
• Proactively seek opportunities to grow (e.g. develop new skills, attend training opportunities, network, feedback
• Assist with ad hoc projects as needed
• Monitor and validate end-to-end data flow for dealer data (e.g., DMS, DVIM,
• VIUS) processed during nightly and intra-day batch cycles.
• Track file statuses through various lifecycle stages and ensure timely processing.
• Investigate and resolve anomalies such as high counts of files in unprocessed statuses (e.g., SKIPPED-R, SKIPPED-V) and files stuck in processing.
• Proactively check DDS insights dashboards for error patterns, incomplete files, and processing failures.
• Execute SQL queries and dashboard checks to validate DDS processing status (e.g., Process_Status = 'C' and ddcc_status = 'DATALOADER COMPLETE')
• Monitor and validate end-to-end data flow for dealer data (e.g., DMS, DVIM, VIUS) processed during nightly and intra-day batch cycles.
• Track file statuses through various lifecycle stages and ensure timely processing.
• Investigate and resolve anomalies such as high counts of files in unprocessed statuses (e.g., SKIPPED-R, SKIPPED-V) and files stuck in processing.
• Proactively check DDS insights dashboards for error patterns, incomplete files, and processing failures.
• Execute SQL queries and dashboard checks to validate DDS processing status (e.g., Process_Status = 'C' and ddcc_status = 'DATALOADER COMPLETE').
• Support weekend patching protocols by disabling/enabling appropriate jobs in coordination with the Tidal schedule.
• Collaborate with the D2C2 and AVIP teams to troubleshoot data pipeline and distribution issues post-processing.
• Document recurring issues and work with development and infrastructure teams to implement root-cause fixes.
• Create support reports highlighting trends in data flow, job performance, or outage patterns to improve data delivery success rate.
• Maintain internal runbooks and SOPs related to batch job monitoring and troubleshooting.
• Support weekend patching protocols by disabling/enabling appropriate jobs in coordination with the Tidal schedule.
• Collaborate with the D2C2 and AVIP teams to troubleshoot data pipeline and distribution issues post-processing.
• Document recurring issues and work with development and infrastructure teams to implement root-cause fixes.
• Create support reports highlighting trends in data flow, job performance, or outage patterns to improve data delivery success rate.
• Maintain internal runbooks and SOPs related to batch job monitoring and troubleshooting.

Your Skills & Abilities (Required Qualifications)

• Bachelor's degree in Information Systems, Data Analytics, Computer Science, or a related field.
• 2+ years of experience in data operations, production support, or a similar
• analyst role.
• Familiarity with batch data processing workflows and ETL pipelines.
• Strong SQL skills for querying and validating data statuses.
• Experience working with dashboarding or monitoring tools (e.g., custom
• dashboards, Power BI, etc).
• Excellent troubleshooting skills with the ability to diagnose system-level data flow issues
• Understanding of data lifecycle concepts, data quality principles, and performance monitoring.
• Ability to work independently during off-hours or scheduled processing windows (e.g., 9pm–6am EST batch window monitoring).

What Will Give You A Competitive Edge (Preferred Qualifications)

• Experience with Tidal or similar job scheduling platforms.
• Familiarity with automotive dealer data or systems such as DMS (Dealer
• Management Systems).
• Knowledge of ETL tools like DataStage.
• Understanding of JSON/XML log parsing and interpreting system-level logs.
• Awareness of high-availability data operations and SLAs in a multi-country data environment.

About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us
We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Non-Discrimination and Equal Employment Opportunities
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit
How we Hire
.

Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment,
email
us or call us at In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

ABOUT DXC

DXC Technology is a Fortune 500 Global IT Services Leader and is ranked at 152. Our more than 130,000 people in 70-plus countries are entrusted by our customers to deliver what matters most. We use the power of technology to deliver mission critical IT services that transform global businesses. We deliver excellence for our customers, colleagues and communities around the world.

Accelerate your career and reimagine the possibilities with DXC

We inspire and take care of our people. Work in a culture that encourages innovation and where brilliant people embrace change and seize opportunities to advance their careers and amplify customer success. Leverage technology skills and deep industry knowledge to help clients. Work on transformation programs that modernize operations and drive innovation across our customer's entire IT estate using the latest technologies in cloud, applications, security, IT Outsourcing, business process outsourcing and modern workplace.

"At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We're committed to fostering an inclusive environment where everyone can thrive."

DXCSMARTFirst

Roles and Responsibilities:

1. Operational Support:

• Provide Level 2 and L3 support, mostly for triage and troubleshooting.

o PowerBI Support

o KNIME Support

• Monitor and resolves processing and data quality issues

• Assist with application compliance

o PowerBI Worksapce

o Knime Hub – may require App Registration and iRisk registration

1. Automation & Migration:

• Migrate KNIME workflows from local machines to KNIME Hub (cloud-based).

• Ensure compliance and sustainability of the ETL process.

Job Qualifications:

Bachelor's Degree in Computer Science or Engineering courses

3+ years of experience

Knime, Power BI, Databricks, Power Apps

What awaits you in DXC:

• Health Insurance (HMO) for you and dependents upon hiring
• Life Insurance coverage from day 1 of employment
• Days' Vacation and 15 Days Sick Leave
• Expanded maternity leave up to 120 days and Maternity Benefits
• Expanded paternity leave up to 30 days
• Non-Taxable Allowance (De-minimis)
• Company-sponsored trainings upskilling, and certification
• SMART First Working Arrangements
• Healthy and Encouraging Work Environment
• Recognition and Pay for Performance Culture
• Supplemental Pay (Standby/Shift)
• Retirement Program
• Employee Assistance Program

If you are motivated to deliver excellent results, want to grow your career and make a difference, come join us.

We are DXC.

We're building the next generation of capital markets data technology. Global capital markets are an ocean of fast-moving, interrelated, and complex data. We are looking for passionate and enthusiastic problem-solvers with an interest in capital markets data to join us as we continue providing technology innovation and support to the world's leading global capital markets companies.

Current strategic pursuits
The Support Engineer will provide engineering and operational support for multiple distributed applications and engage with clients from some of the world's top banks, hedge funds and trading firms. This is an opportunity to work with state-of-the-art hardware (Solarflare, ExaNIC).

• Support – Respond to client inquiries and requests, work with other teams to escalate and resolve issues.
• Partner – Work closely with customer development teams to help them understand, onboard, configure, improve and leverage our tools and technology to implement their own in-house solutions.
• Problem solve – Solve challenging problems that affect a wide range of capital markets players.
• Collaborate- Interact with adjacent business functions including sales, product development, and client integration.
• Exchange specialist – Research and comprehend exchange rules and formats for both public market data and order entry systems.
• Knowledge base – Write clear, concise and easy to read documentation

Work Qualifications

• Must have experience working with python
• Excellent problem-solving skills and diagnostic intuition
• Exceptional English verbal and written communication, including technical documentation
• A bachelor's degree in computer science, equivalent discipline or other highly technical field
• The ideal candidate will have superb presentation and interpersonal skills & be comfortable being the face of the company from a relationship and technical perspective
• Experience with Linux Terminal Command and Shell Scripting
• Prior experience with L2/L3 support at a financial institution or capital markets technology firm preferred
• Must be willing to work 9am – 6pm Central European Time

Nice to have

• Ability to code in Java, and/or C++
• Experience with Kernel-bypass networking (Onload/EF_VI/TCPDirect)

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

Our purpose is the foundation on which our culture is built. Our values of
Integrity, Partnership
,
Excellence
and
Change
underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.

Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it's used for, and how it's obtained, your rights and how to contact us as a data subject.

If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

Summary of Work Activities and Responsibilities:

The Research Data Support Officer is responsible for gathering, cleaning, organizing, and verifying research data to support reporting, benchmarking, and accreditation efforts at the University. This role ensures data accuracy and integrity in various research databases and assists in the processing of the University's Scholarly work awards. The Research Data Support Officer also supports the preparation of research-related reports and assists in managing submissions for faculty research incentives and recognitions. The Research Data Support Officer reports directly to the Research Data and Incentives Unit Head and provides support to the Awards and Incentives Officer for all responsibilities related to awards processing and implementation.

1) Research Data Management and Verification:

• Gathers faculty research and creative work data from various databases and sources (e.g., Scopus, SciVal, AFAR, internal submissions).
• Reviews submissions for completeness and formats data according to the standards set by the Research and Creative Work Office.
• Cleans, organizes, and categorizes datasets to ensure consistency across reporting cycles.
• Prepares updated entries for inclusion in the RCWI portal, Institutional Repository, and other research management systems.
• Coordinates directly with faculty members and department representatives to confirm data accuracy and secure necessary documentation.

2) Scholarly Work Awards Processing:

• Pre-screens submissions for the University's publication and creative work awards, ensuring all required documentation is complete.
• Reviews peer review evidence by checking journal websites, verifying editorial practices, and requesting additional documentation as needed.
• Requests additional documents or clarification from nominees when requirements are incomplete or unclear.
• Drafts individualized award letters based on committee decisions and prepares them for review and signature.
• Encodes and updates award decisions, comments, and approval status in the designated portal to ensure real-time tracking of progress.
• Maintains a secure and organized filing system of all award-related data and documents for audit and reference.
• Supports the coordination of communications with awardees and ensures accurate documentation of final outcomes.

3) Professorial Chair Awards Support:

• Extracts, verifies, and compiles publication and creative work data to support the nomination and documentation requirements of Professorial Chair Awardees.
• Ensures alignment of outputs with specific Chair criteria and submission timelines.
• Provides prepared datasets to the Unit Head and Awards and Incentives Officer for endorsement and further processing.
• Maintains a reference file of eligible outputs and previous award data for tracking and reporting purposes.

4) Report Preparation and Accreditation Support:

• Assists in compiling research-related reports for internal benchmarking and university accreditation.
• Supports data reporting for assessments and institutional decision-making.
• Gathers necessary documentation and statistics for reports submitted to external accreditation bodies (e.g., CHED, PAASCU).

5) University Scholarly Work Awards (Publication Awards, Creative Work Awards, Special Scholarly Work Awards, Innovation Awards)

• Prepares data-based materials required for the successful execution of the University Scholarly Work Awards Ceremony (e.g., awardee profiles, slide presentations, certificates).
• Works with the Awards and Incentives Officer to finalize award lists and review public materials for accuracy.
• Handles the compilation and preparation of award kits and printed materials for the ceremony.
• Coordinates the scheduling, booking of venues, and arrangement of required equipment or supplies in support of the event.
• Tracks confirmation of awardees and manages the dissemination of event-related information (e.g., program flow, arrival instructions).

Knowledge, Skills and Abilities:

• Proficiency in research data collection, cleaning, and organization.
• Strong attention to detail and accuracy in data processing.
• Familiarity with research databases (e.g., Scopus, SciVal, Digital Commons).
• Strong analytical and problem-solving skills.
• Ability to communicate effectively with faculty, students, and other stakeholders.
• Ability to work collaboratively in a research-oriented environment.
• Knowledge of university research processes and accreditation requirements is an advantage.

Education and Experience Requirements:

• Bachelor's degree in a relevant field (e.g., Information Management, Data Science, Social Sciences, or related disciplines).
• Experience in research data management, academic reporting, or related fields is preferred.
• Training or experience with academic databases and research analytics tools is an advantage.
• Experience working in a university or research setting is a plus.