Top Data Analyst Jobs in Caloocan

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 Sales Operations & Data Analyst will manage sales data, reporting, and operational efficiency, supporting sales teams and management in performance tracking and data analysis.

Perform data extraction, cleaning, analysis, and dashboarding using Python, SQL, spreadsheets and BI tools. Build automated reports, detect anomalies, provide data-driven recommendations, and communicate findings to stakeholders while supporting process improvements and client deliverables.

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.

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.

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

The Data Analyst will analyze CRM and campaign data to provide insights that enhance marketing performance and customer retention. Responsibilities include data extraction, dashboard creation, campaign performance analysis, and audience segmentation.

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

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.

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 is responsible for transforming data into actionable insights, conducting lifecycle analysis, ensuring data quality, developing ETL processes, creating dashboards, and promoting data-driven decision-making through training and automation solutions.

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.

The Senior Financial Data Analyst collects, controls, and distributes market data for financial instruments, ensuring data quality and governance. This role resolves client queries and supports process improvement while adhering to operational risk frameworks.

As an AI Data Quality Analyst, you'll perform quality audits, statistical reporting, root cause analysis, and optimize annotation processes for AI datasets.

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

The Data Analyst will design and maintain dashboards using Tableau and Power BI, analyze data for insights, and support PMO initiatives. Collaboration with leadership and ensuring data quality are key responsibilities.

Monitor live multi-sport data feeds, ensure accuracy, execute tasks during events, handle anomalies, and improve operational processes in a fast-paced environment.

The role involves providing analytics for client onboarding, collections strategy, and fraud management. Responsibilities include MIS reporting, risk management collaboration, and continuous improvement of collections strategies.

The Data Analyst is responsible for sample registration into LIMS, generating customer invoices and statements, and maintaining accurate data input. They follow QC protocols, ensure compliance with client requirements, and coordinate multiple projects while adhering to company standards.

Design, build, deploy and maintain analytics and AI products (forecasting, segmentation, optimization, classification). Lead ML experimentation (LLMs, RL), integrate AI into dashboards, champion Responsible AI, monitor model performance and drift, collaborate with global cross-functional teams, manage vendors and SLAs, and support production analytics operations and enhancements.

Perform day-to-day master data operations including account creation/modification, data cleansing/harmonization, compliance checks, escalation handling, and support for mass updates, process improvements, and technology-enabled automation. Collaborate with stakeholders and Team Lead to meet KPIs, train on multiple data objects, and support audits and transition projects.

As a Senior Data Analyst, you'll lead data science solutions, support clients, and develop innovative insights using Python and R, collaborating with teams to automate processes and suggest solutions.

The Data and Reporting Analyst develops and manages reporting and BI solutions, conducts data analysis, improves systems, and collaborates on reporting automation initiatives.