Top Data Analyst Jobs in Caloocan

The Data Analyst will act as a subject matter expert in data engineering, healthcare risk adjustment, and application analysis, focusing on reliable data solutions and troubleshooting workflows.

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

Design, configure, deploy, and optimize enterprise-scale Smartsheet solutions (Advanced Work Management). Lead architecture, templates, workflows, reporting, governance, stakeholder workshops, training, and integrations while supporting portfolio and program use cases.

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.

Deliver call centre performance analytics and QA insights: source and prepare large datasets, conduct descriptive and diagnostic analyses, build and maintain Power BI dashboards, perform root-cause analysis, translate data into clear narratives for clients, and collaborate with Data Science and consulting teams to inform operational improvements.

Perform quantitative analyses on large commercial and operational datasets using advanced Excel; build and maintain forecasting and scenario models; clean, validate and reconcile data; create clear tables, charts and PowerPoint summaries; document logic and assumptions; run ad-hoc analyses on short timelines and improve model performance and standardization.

Collect, validate, control and distribute market and master data for financial instruments per client SLAs. Perform quality checks, investigate data incidents, resolve client queries, maintain runbooks and documentation, and support data governance, operational risk compliance, and continuous process improvements.

Perform data entry, validation and reporting in a Laboratory Information Management System (LIMS) or other database. Ensure data quality, meet lab deadlines, document reviews/changes, support operational improvements, respond to technical queries, and follow SGS QHSE and quality procedures.

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

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

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.

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.

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

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

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.

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

Lead end-to-end analytics initiatives: perform ETL/ELT, automate data pipelines, develop dashboards and predictive models, ensure data quality and governance, validate models, and present insights to business and executive stakeholders.

Design, build, and maintain Power BI dashboards and Microsoft Fabric data pipelines. Integrate Dynamics 365 data, ensure data quality and governance, deliver executive insights, forecasting, and strategic analysis. Partner with sales, operations, and finance leaders to translate requirements, promote self-service analytics, and document KPIs and reporting logic.

Design, develop and maintain BI dashboards and interactive reports. Translate business needs into technical requirements, perform data modelling and ETL, ensure data integrity, optimize reports, manage access and workspaces, and provide actionable insights using BI tools (Power BI, Qlik, Tableau) while supporting stakeholders and following SDLC and governance practices.

Design, develop, and maintain interactive Tableau dashboards; gather stakeholder requirements; optimize data models and SQL queries; ensure data accuracy; create reports and provide technical support and troubleshooting.

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

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.

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.