Top Data Analyst Jobs in the Philippines

Data Analyst Level II responsible for analyzing data, generating reports, and providing insights based on findings. Flexible shifts available.

Design Power BI dashboards, analyze campaign and operational data, and deliver actionable insights to improve performance and customer outcomes. Support multi-channel campaigns, ensure data quality, identify process improvements, and partner with Finance, IT, and Operations to align analytics with business goals.

The Data Analyst will ensure CRM data integrity, perform data cleansing, collaborate across teams, and implement data governance procedures.

The Commercial Digital Data Analyst will transform governed data into insights, build dashboards, measure performance, engage stakeholders, and ensure data quality compliance within the medical device industry.

Deliver recurring reports and ad-hoc HR insights, investigate and resolve data anomalies, manage stakeholder relationships, build Power BI self-service dashboards, automate processes using Snowflake/Alteryx/Excel, and apply advanced analytics and ML techniques to generate actionable people insights.

The Data Analyst extracts and analyzes data from Oracle, produces reports, and assists in tracking key performance indicators related to kit and spares shipments.

The HRIS Data Analyst develops and maintains Workday reports, ensures data governance, collaborates with stakeholders for reporting requirements, and supports data privacy initiatives.

Review and cross-check customer and internal production documents (flowplans, BOMs, OMSs) four weeks prior to assembly launch; identify and report mismatches; coordinate with Account Operations to obtain customer decisions and updated documentation; follow company processes, safety rules, and customer requirements.

Gather and analyze business and risk user requirements; produce functional designs and specifications for market risk systems; assess impacts; create and execute test plans (UAT, regression, simulation); support BAU including data sourcing, extraction, and analysis for Market and Liquidity Risk Data Store; manage delivery timelines.

Support Global Meeting Services by monitoring shareholder meetings, procuring and extracting meeting documents and agendas, encoding meeting details and voting instructions into the database, contacting issuers, collecting results, responding to queries, and assisting on related projects and reports.

Extract, clean, and analyze data to produce insights and PowerBI dashboards for Consumer Finance. Manage databases and integrations, prepare campaign data and month-end reports, troubleshoot data issues, and recommend process improvements. Collaborate with Finance, IT, and stakeholders while ensuring regulatory compliance and delivering clear, actionable reporting.

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

The Marketing Data Analyst will maintain databases, gather and clean data, analyze it for insights, and support business strategies.

The Consumer Support Analyst resolves email inquiries related to cashback discrepancies and account concerns, ensuring effective user communication and problem resolution.

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

Manage sales data analytics, commission management, and sales KPI monitoring. Optimize datasets, build and maintain dashboards, provide actionable insights to improve sales performance, and support sales teams in improving customer service and operational efficiency.

The Data Annotation Analyst reviews, labels, and classifies datasets for AI/ML models and operational intelligence, ensuring quality and accuracy in a 24x7 environment.

Customer-facing data analyst working with IoT deployments to monitor real-time data streams, identify anomalies, perform root cause analysis, build dashboards, and provide actionable insights. Partner with product, engineering, and field teams to improve data quality, system performance, and deployment outcomes.

Manage the full lifecycle of partner data: build and maintain engagement and utilization reports, fulfill ad-hoc analyses, ensure data quality and attribute management, and administer the Partner Analytics Dashboard including user access and configuration for stakeholders.

Support business development by extracting, cleaning, analyzing, and visualizing data from multiple sources. Build dashboards and automated reports, prototype AI/automation solutions, validate outputs, and communicate findings to stakeholders. Assist with client-facing deliverables, documentation, and fostering a data-driven culture while supporting process improvement and ad-hoc analysis.

Perform deep analysis and validation across large enterprise datasets. Build advanced SQL queries, reconcile data across systems, investigate discrepancies, and support analytical datasets and reporting layers. Partner with data engineering to understand pipelines, maintain data governance, and ensure metric consistency and audit readiness.

Lead reporting strategy, deliver insights and dashboards, enforce data governance and models, drive root-cause analysis and process improvements, quantify transformation impact, manage stakeholders, escalate with analytics, and mentor junior analysts to build team capability.

Trainee-level role to remediate and maintain client and security reference data, perform root-cause/trend analysis, liaise with global teams, deliver metrics, own ad-hoc projects, perform maker/checker processing and user acceptance testing, and provide internal stakeholder support.

The SQL Data Analyst role involves applying analytics to improve business performance, translating needs into actionable insights, and supporting projects within the insurance domain.

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.