Data Analyst

• Support end-to-end data migration efforts between legacy and target systems
• Extract, map, transform, and load (ETL) data according to defined business and technical requirements
• Document data mapping, transformation rules, and migration logic
• Validate migrated data to ensure completeness, accuracy, and consistency
• Analyze and identify data inconsistencies, duplicates, and errors in existing systems
• Perform data cleanup activities to standardize and enrich datasets
• Implement data quality checks, validation rules, and monitoring processes
• Collaborate with business teams to define data standards and governance practices
• Investigate and troubleshoot data discrepancies across systems
• Perform root cause analysis and recommend corrective actions
• Support ongoing data reconciliation and balancing activities
• Create reports and dashboards to highlight data quality metrics
• Work closely with IT, business analysts, and functional teams to understand data requirements
• Translate business requirements into technical data specifications
• Maintain clear documentation of data processes, definitions, and standards
• Participate in testing cycles (UAT, system testing) related to data migration

Data Migration, Data Quality Analyst

• Strategic Analysis: Which metrics have the biggest impact on our customers and business results? Which KPIs are most critical in ‘moving the needle’ when it comes to our scaling new user growth by keeping efficiency in place. With the data at hand, what trends can we uncover to understand our channels and consumer behaviour better and reactively address their needs? How do we optimally operationalize the measurement of these KPIs on an ongoing basis?
• Planning: Determine which customers to target for marketing campaigns using analytical techniques including statistical clustering, RFM segmentation, market basket / affinity analysis, decile analysis, regression modelling, propensity modelling. Predict when and what customers will buy and help to build effective and high converting SKU list for landing pages.
• Hygiene / Operations: Track critical performance KPIs and perform post-campaign analysis. Track and measure customer quality and migration / brand health. Track effectiveness of promotions. Daily report preparations. Closely work with finance on budget allocation, tracking and management.
• Project Management / Martech: Manage strategic projects and transformations within Marketing. Respond to changing market trends and requirements by keeping an eye out for new practices and technologies that will improve and optimize the marketing department’s performance.

Marketing Analytics Analyst

• Gather, analyze, and document business and technical requirements for the Optimizely Data Platform implementation
• Review and validate customer data architecture, schemas, and platform configuration
• Analyze customer profiles, identity resolution rules, and behavioral tracking to ensure data accuracy
• Translate marketing initiatives into detailed technical and functional requirements
• Develop process maps illustrating customer data flow between CRM, eCommerce platforms, marketing systems, and ODP
• Create and maintain functional specifications, data dictionaries, event tracking documentation, and process documentation
• Design customer segmentation strategies to support lifecycle marketing and personalized customer experiences
• Define KPI frameworks and reporting requirements to measure campaign performance and business outcomes
• Collaborate with marketing, engineering, product, and data teams throughout project delivery
• Identify implementation risks, validate technical assumptions, and recommend improvements based on industry best practices

Part Time Business Analyst – Optimizely Data Platform

• Lead a team of WFM Analysts
• Responsible for ensuring integrity and consistency of set WFM processes and procedures
• Serves as the WFM Project Manager which focuses on WFM initiatives and integrations
• Maintain confidentiality on information, objectives, and practices of FPS and its clients
• Provide shared services workforce management support to all FPS accounts and focuses on innovation and AI
• Plan, lead, motivate, train, and monitor the team while ensuring compliance with pertinent legislation guidelines and achievement of maximum collection results for clients and the company
• Performance coaching, scorecards, development plans, and agent administration must be accurate and executed in a timely manner

WFM Analytics Manager

• Support client delivery across carbon accounting, sustainability reporting, research and wider operational activities.
• Review and clean raw client data across utility, logistics, financial and operational sources, including electricity usage, vehicle mileage, fuel consumption, annual expense reports and more.
• Consolidate data from various formats into structured Excel reports used in internal carbon modelling tools.
• Reformat messy spreadsheets, copy and paste data from scanned or PDF documents, and ensure data is aligned by scope, location, date and emission source.
• Spot and flag anomalies and inconsistencies such as mismatched dates, sudden usage spikes, duplicated entries or incorrect units.
• Prepare bullet-style discrepancy reports or summaries to assist consultants in following up with clients.
• Use advanced Excel functions, including PivotTables, VLOOKUP, filters, conditional formatting and other data management techniques to improve data structure, readability and overall data quality.
• Support carbon consultants by clarifying data-related issues and collaborating through Microsoft Teams, Slack and other internal communication tools.
• Occasionally assist in assigning emission factors (where applicable) or flag missing information requiring client input.
• Collaborate closely with the consulting and delivery team to ensure accurate, timely and high-quality outputs for clients.
• Help reduce turnaround times for data preparation and contribute to high-quality reporting outcomes for external clients.
• Contribute to continuous improvements in data preparation processes and operational efficiency.

Data and Finance Analyst

• Client / Vertical head Approved New Hire Request
• Program: RevenueWellBLI
• Process Name: RevenueWell
• Designation: Senior Analyst
• No of Head Count (s): 1
• New Hires/Replacement Hires (HC) by Designation
• New Hire Billed / Unbilled / BU / OPS Bench Billed SFDC ID for Billed New Opportunity
• Reasons to hire Unbilled / Bench City / Location: Manila
• Standardized skillset: [Refer attached excel] Attached JD
• Shift (APJ / EMEA / US / Any combination): US
• Reporting Manager: Lester De Guzman
• Educational Background: Experience Required: Attached JD
• Job Description: Attached JD Client Approval mail: Comments Preferred Start date: (induction date) July 13 2026 Collaborators: Workplace: WFM, WIO, Hybrid WFH

Senior Customer Data Manager

• Collaborate with stakeholders to gather requirements and understand business needs
• Design and develop interactive dashboards using Tableau
• Optimize data models and queries using SQL
• Ensure data accuracy and reliability in the dashboards
• Create reports and visualizations that effectively communicate insights
• Provide technical support and troubleshooting for dashboards
• Complete other assigned projects and administrative tasks

• Prepare and process electronically stored information (ESI) for legal review platforms
• Handle sensitive client data for litigation, analytics, and hosted review
• Support and maintain multiple databases and projects while following strict security and confidentiality standards
• Migrate data to secure, online platforms used by legal teams
• Troubleshoot processing and database issues until a full resolution is achieved
• Double-check data accuracy and ensure all client and project requirements are met
• Communicate regularly with internal teams to keep projects moving and on track
• Meet deadlines and ensure data deliverables are accurate and high quality
• Stay up to date on eDiscovery standards, tools, and technologies

E-discovery Data Analyst

• Deliver timely and accurate recurring reports and ad hoc insights to stakeholders within HR and the business.
• Investigate and analyze data issues and anomalies reported by stakeholders.
• Collaborate closely with relevant teams to resolve discrepancies, ensure data accuracy and consistency, and communicate findings and resolutions in a timely and clear manner.
• Provide outstanding stakeholder management and support (proactively getting feedback, sharing updates and new ideas, meeting regularly).
• Manage multiple projects effectively and self-sufficiently (gather requirements, recommend approaches, and develop and test solutions).
• Develop and maintain self-service dashboard solutions (Power BI).
• Learn and apply new ways to generate insight using machine learning, advanced analytics (clustering, text analytics, forecasting and modeling), and other data wrangling and visualization tools.
• Improve and automate processes using a variety of tools such as Snowflake, Power BI, Alteryx, Excel and others.
• Communicate insights effectively using creative Data Visualizations and Story Telling techniques.

• Help manage and improve Gainsight features like customer success plans, workflows, email programs, and health scores
• Keep data accurate by monitoring system integrations and resolving any issues
• Create and maintain dashboards and reports to track customer health, NPS, and renewals
• Support daily operations by handling tickets, troubleshooting issues, and testing updates
• Assist with customer communications and email campaigns
• Monitor integrations with Salesforce and Zendesk and help resolve any data issues
• Take ownership of the monthly reconciliation process to ensure all project and financial data is accurate
• Support day-to-day system administration, including user access, project setup, and resource planning
• Build reports and dashboards to track team performance, project health, and financials
• Maintain data quality through regular checks and updates
• Support and train users, and keep documentation up to date
• Work with the Business Analyst to turn business needs into clear tasks
• Collaborate with team members to share knowledge and improve processes
• Help maintain documentation and standard ways of working
• Proactively highlight risks or issues to keep everything running smoothly

Operations and Analytics Specialist

• Use analytics tools to measure the effectiveness of audience growth strategies and identify user trends
• Make recommendations on segmentation, profiling and engagement
• Utilize analytics tools (Google Analytics, Google Tag Manager, Tableau CRM) to capture campaign & ongoing engagement data visualizations
• Resolve business associated challenges by performing audit on data for ‘digital briefs’
• Acquire data from (primary or secondary) data sources and build and maintain “campaign” analytics dashboards
• Utilize SQL to store, process and handle and analyze structured data
• Partner with Audience Specialist for data stewardship
• Provide support to all data analysis for overall Marketing performance measurement (ROI)
• Identify new process or areas for improvement opportunities

Customer Experience Data Analyst

• Own the analytics function end-to-end
• Lead a team and work directly with leadership on business insights
• Responsible for analytics roadmap and meaningful metric tracking
• Mix of strategic work (presenting to executives, alignment with product, operations, and finance) and technical work (reviewing analyses, debugging logic)
• Own data governance, work with engineering on pipeline reliability and data lineage

Head of Data Analytics, Insights

• Prepare accurate recurring and as-needed reports using data from internal and external sources
• Responsible for developing, maintaining, supporting, and upgrading reports and dashboards
• Collects, analyzes, and reports sales and marketing data from different data sources, including CRM Software, Marketing Automation Platforms, Account-Based Marketing Platforms, etc.
• Provides actionable insights to guide the sales and marketing teams based on data gathered
• Develop methods and strategies for assessing large amounts of data
• Gather and analyze data to understand problems and proactively make recommendations
• Review historical sales and marketing data to determine trends in productivity
• Contributes to the development of sales plans and objectives and assists senior leadership in monitoring and evaluating sales and marketing performance
• Responsible for monitoring and analyzing competitive activity, customer, and market trends
• Forecasting potential revenue, sales bookings, pipeline and marketing leads and determining sales potential and make recommendations
• Collaborate with team members and members of other departments

Sales Analytics Manager

• Assisting in designing a small-scale AI proof of concept using internal datasets for learning and demonstration purposes
• Supporting data collection, structuring, tagging, and validation activities to prepare datasets for testing and experimentation
• Exploring pricing and configuration logic through guided prototyping using sample or masked data
• Learning to apply basic AI and data mining techniques under mentorship from the AI team
• Documenting project approaches, tools used, and lessons learned throughout the internship
• Participating in discussions on AI security considerations, including data handling and model protection
• Collaborating with team members to review progress, share findings, and refine the proof of concept

Data Analyst jobs in Philippines

See all jobs on JobTailor

Data Migration, Data Quality Analyst

Marketing Analytics Analyst

Part Time Business Analyst – Optimizely Data Platform

WFM Analytics Manager

Data and Finance Analyst

Senior Customer Data Manager

Data Analyst

E-discovery Data Analyst

Data Analyst

Operations and Analytics Specialist

Customer Experience Data Analyst

Head of Data Analytics, Insights

Sales Analytics Manager

AI and Data Analytics Intern