Top Data Analyst Jobs in Caloocan

As a Cricket Data Analyst, you will utilize cricket expertise to provide real-time insights, manage data quality, and support client inquiries while analyzing sports pricing data.

The Data Analyst Intern will assist the Business Development team by creating automated reports, analyzing data, ensuring data integrity, and visualizing insights using dashboard tools.

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 Business Systems Analyst will update data in Salesforce, manage projects, collaborate across departments, conduct business analysis, and document processes.

The Senior Financial Data Analyst manages market and master data collection and analysis, ensuring compliance with SLAs and operational risk frameworks to support client needs and improve processes.

Develop, automate, and maintain ETL pipelines and python-based solutions to convert legacy Excel processes, reconcile financial datasets, test and deploy scripts, and improve fund accounting and operational workflows across teams.

Freelance Looker Data Analyst (10-20 hrs/week) building and consolidating Looker dashboards and Explores, partnering with cross-functional teams to investigate trends, produce actionable insights, maintain metric definitions, and document reporting standards for scalable self-serve analytics.

The Finance Data Analyst will support financial analysis, reporting tasks, and decision-making by collaborating with teams to deliver insights and manage financial data efficiently.

The Data Analyst (HRIS) will collaborate with stakeholders to define data needs, prepare reports, perform statistical analyses, and ensure data security while delivering insights and assisting with data projects.

The Data Analyst Consultant will gather, analyze, and interpret data to support business decisions, utilizing various tools and ensuring alignment with business objectives.

Own and analyze marketing channel/program performance end-to-end. Build/maintain GA4 and Salesforce Marketing Cloud dashboards, perform attribution and ROI analysis, translate data into stakeholder-ready recommendations, identify data quality issues, and mentor junior analysts.

Maintain and refresh marketing dashboards, pull and validate campaign performance data, perform QA on data feeds, support ad hoc requests, document report logic, and escalate anomalies to senior analysts.

Lead marketing analytics for US marketing leadership: design scalable measurement frameworks, run advanced attribution and cohort analyses, build dashboards and self-service reporting, own data governance across GA4/Salesforce/Adobe, mentor junior analysts, and present recommendations to senior stakeholders to drive business impact.

Analyze large-scale on-chain data to detect anomalous transactions, develop detection mechanisms and risk monitoring frameworks, apply supervised and unsupervised ML, identify malicious accounts via community-discovery algorithms, and design integrated on-chain/off-chain prevention and control systems.

Support handset installment financing risk operations by extracting, validating, and maintaining risk datasets; produce regular and ad-hoc reports; monitor key risk indicators and anomalies; develop and maintain dashboards and documentation to support risk, fraud, and collections teams.

As a Databricks Data Analyst, you will support data pipeline validation, monitor ingestion jobs, perform schema checks, and manage documentation.

Own data quality and root-cause analysis for prediction issues: detect anomalies, trace sources, fix processes, automate QA/reporting with Python and SQL, maintain dashboards, and partner with Data Science, Engineering, Product, and Commercial teams to improve prediction performance and customer-facing analytics.

Support data integrations and quality by checking ingested/system-generated data for anomalies, building and running QA checks and automations with Python and SQL, assisting on customer data queries and dashboards, and documenting findings to improve prediction reliability.

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

Manage programme data governance and quality across PMIS (IMPAQ, CTRT, PNS/G), perform data entry and validation, develop dashboards and automated reports, conduct statistical and trend analyses, provide technical support and training, and drive process improvements to support evidence-based programme decision-making.

Turn customer, product usage, CRM and operational data into actionable insights to improve retention, engagement and product decisions. Build and maintain reports and Power BI dashboards, perform SQL/Python data extraction and automation, support predictive analytics and AI-readiness, validate data quality, and present clear recommendations to cross-functional stakeholders.

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

Lead data analysis and reporting efforts: review end-to-end business processes, build dashboards and visualizations (Power BI, Excel), consolidate insights for stakeholders, test reports, support system changes, lead small projects, collaborate with developers, coach junior team members, and recommend process improvements to increase efficiency and customer satisfaction.

Perform sample registration, administrative data entry and cleanup, billing support, and laboratory report preparation in LIMS/CRM. Support sales quoting, ensure data quality, meet lab turnaround times, respond to technical queries, and participate in team improvement and QA activities.

Execute collection, control, quality checks and distribution of market and master data for financial instruments. Investigate and resolve data incidents, support clients, maintain operational risk and data governance compliance, improve processes, and document runbooks and procedures.