Top Data Analyst Jobs in Manila

Validates and approves mineral laboratory data, performs quality control checks, investigates non-conformances, manages rechecks and over-range assays, maintains control charts, prepares testing certificates, and releases results to clients. The role also supports proficiency testing, audits, technical investigations, laboratory operations, and quality, safety, and environmental compliance.

Prepare and reconcile monthly private investment reports, analyze investment exposure versus targets, and consolidate data from multiple internal and external sources. Perform detailed reconciliations of portfolio data (spreads, balances, commitments) and apply advanced financial analysis and Excel/Power BI skills to support the private credit team.

The Data Analyst Level I supports data-driven solutions, generates reports using SQL and Excel, and collaborates on client performance analysis.

The Data Analyst II will support operational data requests, report generation, and data analysis, ensuring data quality and integrity in a fast-paced environment.

The Data Analyst will transform data into insights, develop reporting solutions, maintain data accuracy, and collaborate with stakeholders to drive efficiency.

Produce real-time cricket insights and pricing using expert cricket knowledge and existing models. Analyze pricing data, run live simulations, validate outcomes, support clients, and provide high-quality data-driven insights.

Support portfolio management through data collection, entry, analysis, dashboarding, and reporting using Clarity PPM and analytics tools. Maintain systems, produce visualizations and trend analysis (Power BI, Excel), resolve user requests, and recommend process improvements to improve portfolio transparency and outcomes.

Seeking a detail-oriented DBA/Data Analyst to analyze datasets using Python and SQL, creating dashboards, and presenting insights to aid decision-making.

The Risk Data Analyst will extract, validate, and maintain risk datasets, manage reporting, develop dashboards, and monitor risk metrics to support risk management teams.

Analyzes complex datasets and delivers actionable insights through Power BI reports and dashboards. Maintains Azure Data Lake integrity, performs data cleansing and transformation, supports ETL and governance initiatives, and collaborates with IT and business stakeholders on data requirements and accuracy. Provides user training and support while staying current with data management practices. Requires strong SQL, Azure Databricks, Python or R, data modeling, warehousing, and data quality expertise.

Develop and execute partner and channel marketing programs aligned with sales objectives and pipeline growth. Manage regional campaigns, localized content, deal registrations, events, partner communications, and marketing development funds. Perform presentations, data cleanup, and analysis while collaborating across marketing, channel, sales, and regional teams. The role requires strong communication, organization, analytical thinking, technology aptitude, and onsite work across US and EMEA time zones.

Register samples into LIMS and create accurate work orders, apply QC protocols, link pricing, generate acknowledgements, invoices and statements, distribute to clients, follow up on payments, maintain reports and databases, and support ad hoc projects.

Supports MENA real estate valuation teams through timesheet, expense, invoice, travel, KYC, and compliance administration. Maintains valuation reports and electronic filing systems, coordinates with stakeholders and service providers, and recommends process improvements. The role requires strong Excel and Word skills, communication and interpersonal abilities, attention to detail, and the capacity to manage multiple daily deliverables in an on-site Taguig environment.

Reviews US individual and business tax returns, documents, forms, and schedules; labels tax data for AI training; validates AI-generated results; identifies errors and unusual tax situations; and provides feedback to improve data quality. The role also helps develop labeling guidelines and processes while collaborating with an AI team. Strong US tax expertise, CPA credentials, attention to detail, spreadsheet skills, and comfort with technology are required.

Monitor and investigate performance data quality issues, identify root causes and remediation, liaise with external data partners and internal teams, uphold SLAs, support escalation and calculation queries, and implement sustainable fixes to maintain operational data integrity.

Collect, cleanse, and analyze client data; build automated file-processing and reporting workflows; run SQL queries and create Python or Power BI reports; enforce data quality; collaborate with analytics teams and stakeholders to deliver actionable insights.

Consult with stakeholders to define questions, prepare and clean large datasets, run intermediate statistical analyses, build visualizations (Tableau/Power BI), lead small analytics projects, and communicate actionable insights. Uses SQL/Python and basic big-data tools; promotes analytics best practices and leverages approved AI tools to accelerate workflows.

Manage compliance for defined contribution retirement plans: perform non-discrimination testing, census reconciliation, contribution/forfeiture allocations, Form 5500 filings, data analysis, and respond to auditors and plan representatives. Support account management, process improvement, and team training.

Analyze large-scale transactional, operational, and customer datasets; build visualizations, machine learning models, and experiments; translate complex findings into clear recommendations for operational teams and executives; and apply analytical software, databases, visualization tools, and programming languages in a fast-paced blockchain environment.

The Data Analyst/Data Enrichment Specialist manages and maintains data integrity across platforms, builds targeted lists, handles event registrations, and supports marketing initiatives.

Design, develop, and maintain ETL workflows with Informatica; support MDM processes; analyze data to surface insights; improve data quality; produce reports and dashboards; collaborate with stakeholders and IT on governance and data solutions.

Perform ETL development and maintenance in Informatica, support MDM processes, analyze datasets for trends and insights, monitor and improve data quality, collaborate with stakeholders and IT, and produce reports and dashboards to inform business decisions.

Monitor and record shipment statuses during a fixed night shift, update and complete shipment records in the CRM via call verification with delivery providers, clear statuses, and escalate issues or incomplete records to the client.

The Finance Data Analyst gathers, cleans, and analyzes financial data, prepares reports, supports month-end reporting, and aids in financial modeling to enhance efficiency.

Analyze and visualize post‑market surveillance and complaint data to support investigations, regulatory reporting, trending, and CAPA. Create reports and metrics, apply statistical techniques, ensure data integrity, recommend process improvements, and participate in audits and inspection readiness activities.