Data Analyst

• Work with large volumes of real financial data across multiple sources at the intersection of finance, data, and technology
• Partner with accounting, financial controlling, and senior stakeholders to keep financial data accurate and decision-ready
• Maintain and develop financial models, including updates, testing, and optimization
• Process and validate large volumes of financial data from multiple sources
• Investigate and resolve data discrepancies, ensuring data quality and consistency across systems
• Build and automate data extraction, processing, and validation using SQL and Python
• Work across DWH and multiple data sources to support financial analytics
• Collaborate with accounting, financial controlling, and other stakeholders to improve reporting processes

Finance Data Analyst

• Create, validate, and maintain accurate and up-to-date information related to counterparties and customers in the proprietary master data system
• Carry out day-to-day activities with efficient planning and monitoring while complying with process standards
• Perform sanctions-screening, false positive review, and verification of documents and business rules
• Monitor customer emails, document follow-up, tickets, and notifications, and take appropriate actions according to established SOPs
• Ensure data-related and document management processes follow established SOPs
• Deliver high-quality output and complete creation and updates within agreed SLA
• Analyze and research different information sources, including conflicting data sources, to extract meaningful, accurate, and reliable data
• Collaborate with customer compliance, operations, and Marcura Legal teams to ensure screening requirements are met
• Ensure key counterparty data elements are complete, up-to-date, and accurate

Screening Analyst, Data Steward

• Collect, validate, and analyse large datasets from various supply chain systems and sources
• Create and maintain dashboards, reports, and KPIs for supply chain and business stakeholders
• Identify trends, anomalies, and opportunities for process improvements across supply chain operations
• Support forecasting, inventory management, and supply planning through data analysis
• Collaborate with procurement, logistics, production, and IT teams to resolve data issues and improve data accuracy
• Assist in developing and automating analytics tools and processes for supply chain optimisation
• Prepare regular and ad hoc analytics reports for management and supply chain leaders
• Ensure data integrity, security, and compliance with company policies
• Participate in cross-departmental supply chain improvement initiatives

Supply Chain Data Analytics

• Lead requirements-gathering conversations and workshops with livestream, affiliate, and content stakeholders across six Southeast Asian markets
• Map social commerce data flows across the socom platform and creator, affiliate, and content sources
• Translate open-ended business questions into structured data requirements
• Maintain a prioritized backlog of social commerce analytics requests with the central Data Engineering and BI team
• Own analytics for livestream session performance, affiliate/creator ROI and commission economics, and content-to-conversion funnels
• Write SQL and build and validate dashboards independently
• Pair with Vietnam- or Indonesia-based analysts on heavier pipeline or engineering work
• Validate and reconcile socom platform data and escalate recurring quality issues
• Interpret third-party market intelligence and digital shelf data
• Present insights and recommendations to country social commerce leads and regional leadership
• Proactively identify patterns across markets, creators, and content formats
• Represent social commerce requirements in the central data engineering roadmap
• Maintain metric definitions and methodology across six markets
• Contribute to data quality monitoring and identify opportunities for automation
• Use Claude and other AI tools for automated commentary, live-session anomaly detection, and proactive near-real-time insights
• Prototype AI-assisted analytics workflows, including anomaly alerts, automated performance summaries, and natural-language data querying
• Evaluate and transition validated GenAI use cases into the broader AI transformation and automation roadmap

Business and Data Analyst – Social Commerce SME

• Apply experience with Sales Cloud, Revenue Cloud, and Service Cloud to analyze data involving accounts, contacts, opportunities, and other critical business data entities and processes
• Translate business requirements and data-quality concerns into meaningful analysis, reports, dashboards, and recommendations
• Develop queries and analytical datasets using appropriate Salesforce reporting, querying, and analytical tools
• Analyze Salesforce data to identify inaccurate, incomplete, duplicate, inconsistent, or outdated records
• Monitor data-quality metrics and trends across Sales Cloud, Revenue Cloud, and Service Cloud
• Develop and maintain recurring data-quality reports, dashboards, and scorecards
• Investigate data anomalies and exceptions and determine their potential business impact
• Perform root-cause analysis to distinguish between data-entry issues, process deficiencies, system configuration issues, integration problems, and other sources of data-quality degradation
• Partner with Salesforce Data Stewards to validate issues, prioritize remediation, and track resolution
• Identify emerging data-quality risks before they materially affect business operations or reporting
• Conduct data profiling and analysis to support data-quality initiatives, audits, and remediation projects
• Establish and maintain data-quality measurements and thresholds with the Data Quality Manager
• Reconcile Salesforce data with other systems when discrepancies are identified
• Assess downstream impacts of Salesforce data-quality issues on reporting, forecasting, customer management, revenue operations, and service processes
• Support analysis of historical data and trends to identify recurring or systemic data-quality problems

Salesforce Data Analyst

• Manage tasks related to 4 or more projects in REPH DRV
• Serve as a leader or SME in two projects
• Act as an indirect contact for OKC
• Proactively interact directly with US product managers for recognized projects, the REPH DRV team, and relevant parties
• Ensure project completion
• Complete assigned projects with good quality while maintaining SLAs
• Assist junior team members on assigned projects
• Identify and advance enhancement and improvement opportunities
• Perform other duties as assigned

Principal Data Analyst

• Maintain and update the M&A database in Excel, including data received from acquisition targets and data on offers/valuations sent to targets
• Enter new data as deals progress, following the database's existing structure and categories; this is a maintenance role, not a rebuild
• Read and interpret financial statements submitted by targets, including income statements, balance sheets, and cash flow statements
• Recategorize and standardize line items from target financials into Collective Residential's standard categories
• Check entries for accuracy and consistency across the database
• Flag anomalies, unclear data, or discrepancies to the M&A team rather than guessing
• Maintain strict confidentiality of all deal, valuation, and target financial data per NDA

M&A Data, Financial Analyst

• Identify issues and challenges and provide recommendations, opportunities and solutions
• Understand business requirements and work with clients/business users to define and document technical and process requirements
• Translate raw data into meaningful insights and reports
• Use advanced analytical techniques with structured and unstructured data from various sources
• Develop reusable workflows and solutions following best practices
• Ensure delivery of quality end-to-end client solutions
• Communicate project-related information with team members and clients
• Communicate issues in a timely manner
• Provide support and assistance for business processes
• Collaborate with partners, clients and tax technical subject matter experts on technology solutions supporting Tax

Senior Data Analyst

• Compile and distribute recurring daily, weekly, and monthly reports using pre-built Excel templates and workflows
• Distribute reports via Outlook on documented schedules and confirm successful delivery
• Maintain a reporting calendar and flag delays, source-system outages, or anomalies
• Produce ad-hoc reports using knowledge of BMS’ data model
• Execute Salesforce, Restoration Manager, and Sage Intacct three-way reconciliation processes
• Identify and resolve missing corresponding records, duplicate accounts, and duplicate contacts across systems
• Adapt workflows to frequently changing SOPs and evolving reporting requirements
• Improve the quality and quantity of Sales Analytics’ output
• Identify and resolve gaps in Sales Analytics insight and improve team processes and productivity
• Influence the day-to-day work of the Sales Analytics Data Analyst

Sales Analytics & Data Operations Team Lead

• Perform data entry and validation across financial systems and spreadsheets
• Assist with general ledger (GL) entries and accounting support tasks as needed
• Support monthly close activities, including reconciliations and reporting preparation
• Build, maintain, and improve Excel spreadsheets and financial models
• Conduct financial and operational data analysis to identify trends and discrepancies
• Clean up and standardize spreadsheets, reports, and datasets for consistency and accuracy
• Collaborate with internal teams to ensure timely and accurate financial deliverables
• Prepare and organize financial reports and supporting documentation
• Assist in maintaining accurate financial records and audit-ready files
• Support process improvements and identify opportunities for operational efficiency
• Perform additional finance and reporting-related tasks as assigned

Data Analyst jobs in Philippines