Top Data Analyst Jobs in Davao City

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.

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.

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.

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

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

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.

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.

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

Design, build, and govern HSW data solutions and analytics; deploy AI and automation into HSW processes; produce Power BI dashboards and regular reports; support Cority operations; drive data strategy, governance, and actionable insights to improve safety and operations.

Early-career role analyzing PB-scale on-chain, transactional and customer data. Perform data engineering, ETL, querying, build visualizations and ML models, translate insights for teams, manage reporting environment, secure confidential data, and troubleshoot reports/databases.

The Financial/Data Analyst will analyze financial and e-commerce metrics to optimize profitability, develop models, dashboards, and support reporting and decision-making.

Support development and maintenance of SQL-based data pipelines and analytics workflows. Assist data standardization, build and optimize data models, dashboards, and reports. Perform ad-hoc analyses, monitor data quality, implement validation logic, and collaborate on cross-functional data and risk projects under mentorship.

Leads analysis, mining, modeling, and visualization of large-scale transactional, operational, and customer data. Partners with compliance teams to prioritize analytical use cases, support regulatory requirements, improve business efficiency, and translate complex findings into actionable recommendations. Oversees multidisciplinary analysts, manages stakeholder data requests, assesses business changes, and develops analytical systems using machine learning, big data technologies, and visualization tools.

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.

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.

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

Provide customer support via live chat, troubleshoot wireless internet products and services, engage customers to resolve issues, and deliver excellent CX while representing client brands.

Lead consolidation, validation and integrated reporting of project performance data across engineering, procurement, fabrication and project controls. Develop executive dashboards and advanced analytics (including Monte Carlo simulation and contingency analysis), support governance, and partner with multidisciplinary project teams on major EPC, LNG and energy infrastructure projects.

Analyze PB-scale trading, transactional, operational and customer data; build visualizations, ML models and experiments; translate findings into actionable recommendations for trading, operations, product and executives in a fast-paced environment.

Ensure accuracy, completeness, and integrity of Salesforce customer and account data. Build automated validation and enrichment pipelines (SQL/Python), perform large-scale cleansing and deduplication (DemandTools, Data Loader), create monitoring dashboards (Power BI), enforce governance, and apply AI/LLMs to improve matching, classification, and anomaly detection so data never blocks Quote-to-Cash processes.