Top Data Analyst Jobs in Caloocan

Validate client documentation and set up/maintain client, account, fund, and security reference data in custody systems. Investigate and resolve data exceptions, coordinate onboarding activities with internal and external partners, apply controls, respond to stakeholders, monitor workloads, and recommend process improvements.

Analyze healthcare risk adjustment and health plan data across Medicare, Medicaid, and ACA Commercial programs. Build and maintain reliable data solutions using SQL, Python, ETL processes, databases, Tableau, Power BI, and Excel. Investigate application, data, system, and workflow issues, identify root causes, recommend corrective actions, and collaborate with technical teams to resolve problems.

Analyze and improve AI-powered transaction monitoring systems for money laundering, fraud, sanctions, and terrorist financing detection. Review high-risk transactions, identify behavioral patterns, test and refine machine learning models, develop metrics and dashboards, conduct experiments and ad hoc analyses, and provide clear recommendations. Collaborate with compliance, legal, Identity & Trust, and operations teams while ensuring AML and sanctions regulatory adherence and a positive customer experience.

Designs and maintains Power BI dashboards, reporting frameworks, SLA reports, and operational visualizations for call center performance. Analyzes and prepares large datasets, supports customer journey mapping, communicates operational metrics, and collaborates with analysts, data scientists, and consultants to deliver actionable insights for Australian clients.

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

Analyze cricket statistics, pricing data, and predictive model outputs to support pre-match and live event management. Generate accurate pricing, identify trends and anomalies, maintain simulated matches, validate data outcomes, and provide timely product support to global clients and internal teams. The role requires deep cricket expertise, strong mathematics and analytical thinking, Excel proficiency, clear communication, and the ability to work accurately under pressure.

Analyze cricket statistics, pricing data, and predictive model outputs to support pre-match and live event management. Produce accurate real-time insights, identify trends and anomalies, maintain simulated matches, validate data outcomes, and assist global clients and internal teams. The role requires deep cricket expertise, strong mathematics and analytical thinking, Excel proficiency, and the ability to work accurately under time pressure.

Supports portfolio management through data collection, entry, analysis, dashboards, reporting, and recommendations. Maintains Clarity PPM data and responds to user requests, develops databases and data systems, identifies trends, visualizes performance, and recommends process improvements. Collaborates with stakeholders to understand business requirements and presents findings to management using Power BI, Excel, and related tools.

Develops and sustains data reporting, analytics, dashboards, and databases to support continuous improvement and leadership decision-making. Collects, cleans, transforms, and analyzes data; identifies trends, correlations, process improvement opportunities, and data-quality issues. Builds visual reports using Power BI and related tools, presents findings to management, and collaborates with stakeholders to understand business requirements. Requires expertise in data mining, database management, statistical analysis, visualization, and process efficiency.

Monitors and analyzes Workers Compensation exposure, claims, and regulatory data to improve data quality and support statutory reporting. Creates documentation, reports, and data submissions; resolves bureau criticisms, medical and indemnity data inquiries, and systemic anomalies. Supports surcharge and assessment payments, responds to ad hoc requests, and collaborates with business units and support teams to meet deadlines and regulatory obligations.

Performs laboratory sample registration, data entry, record cleanup, report preparation, billing support, CRM maintenance, quotations, and data-quality verification. Uses LIMS and database systems to manage accurate laboratory reports, meets turnaround deadlines, responds to technical queries, supports operational improvements, and follows SGS quality, integrity, QHSE, and HR procedures. The role is hybrid but may require onsite work for two to six months.

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.

Internship data analyst supporting dashboard monitoring, user behavior and content ecosystem analysis, A/B test evaluation, campaign performance analysis, data quality assurance, and metric documentation. The role uses SQL and Excel to derive insights on engagement, retention, conversion, and creator ecosystems, while collaborating with product and operations teams in a blockchain and digital assets environment.

Analyze paid media and broader marketing performance across Meta, Google, YouTube, LinkedIn, and TikTok. Build and automate recurring reports and dashboards using HubSpot, Google Analytics, Data Studio, and spreadsheets. Monitor trends, anomalies, and optimization opportunities; maintain data integrity; support campaign planning and forecasting; and translate complex findings into actionable recommendations for non-technical stakeholders.

Investigate high-risk fraud alerts and complex cases using SQL and transactional, customer, device, and behavioral data. Identify fraud patterns and typologies, evaluate detection rules, recommend controls, and conduct root cause analysis. Build dashboards, reports, and performance metrics for management, operations, compliance, and regulatory use. Collaborate with Fraud Operations, Risk, Product, Engineering, and Compliance to strengthen fraud prevention and analytics capabilities.

Analyzes and visualizes post-market surveillance and quality-system data to support complaint handling, investigations, CAPA, regulatory reporting, audits, and inspection readiness. The role prepares reports and regulatory content, applies statistical techniques, identifies product quality trends, and recommends process improvements while partnering with Post-Market Quality and cross-functional stakeholders.

Own payments and mobile analytics across debit, credit, cross-border, and transaction feeds. Define and validate tracking, analyze funnels and user behavior, build dashboards and self-service reporting, monitor payment metrics, support forecasting and financial reporting, and present actionable insights to stakeholders.

Own and maintain the credit card NPV and unit economics model. Build production-ready Python and SQL logic, create datasets covering cohorts, cashflows, losses, funding, fees, and revenue, automate scenario analyses, validate model outputs against portfolio performance, investigate variances, and document implementation-ready specifications.

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.

Analyze advertising, market, social media, and enquiry-generation data to identify trends, measure ROI, and recommend marketing decisions. Build dashboards and management reports, maintain data quality across CRM and advertising platforms, manage online adverts and social campaigns, support tenant communications, track budgets, and contribute to events, branding, and office setup. Present insights clearly to technical and non-technical stakeholders.

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.

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.

Manages customer account, security, pricing, and reference data across multiple systems and teams. Identifies data-quality and client-service improvements, supports risk and compliance controls, backs up the manager, guides team members, evaluates performance, identifies training needs, and oversees project delivery while supervising junior staff.

Perform day-to-day finance master data operations (GL accounts, profit/cost centers, internal orders, exchange rates); ensure accuracy, internal controls, month-end reporting, resolve process issues, support audits, manage system access, and drive process improvements.

Leads administration, security, governance, and operational support for enterprise identity, access management, and Microsoft 365 environments. Oversees Entra ID, Okta, SailPoint, privileged access, identity governance, user lifecycle management, access certifications, automation, compliance, and cloud security. Integrates identity platforms with Active Directory, ServiceNow, HR systems, and enterprise applications while supporting SOX and audit requirements and partnering with cybersecurity, infrastructure, engineering, and business teams.