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

AI and Data Analytics Intern

• Support the HR Analytics and HR Operations teams by coordinating payroll consolidation activities, managing stakeholder communications, maintaining HR data accuracy, and supporting HR projects and reporting processes
• Follow up with payroll stakeholders across multiple entities to collect completed monthly payroll files within agreed timelines
• Consolidate payroll reports and support documentation received from different entities while ensuring completeness and consistency
• Track payroll submission status and proactively follow up on pending files, delays, or missing information
• Support payroll reporting activities, reconciliations, and payroll-related audits
• Ensure payroll files and employee data are handled confidentially and securely
• Maintain and update HR project trackers, reports, and documentation
• Schedule meetings, prepare agendas, and document meeting notes and action items
• Track deliverables and proactively follow up with stakeholders on pending tasks and deadlines
• Organize and maintain HR records, shared folders, and operational documentation
• Support preparation of presentations, reports, templates, SOPs, and standard documents
• Assist in coordinating HR initiatives such as onboarding programs, policy updates, audits, surveys, and reporting cycles
• Track project timelines, dependencies, and risks; escalate delays or missing information when needed
• Support HR reporting activities through data collection, validation, and basic analysis
• Ensure HR and reporting data is accurate, complete, and up to date across systems and trackers
• Perform data quality checks to ensure consistency across HR systems, payroll files, and reports
• Support maintenance and administration of HR systems and reporting tools under guidance
• Identify opportunities to improve, standardize, or automate recurring payroll and HR administrative processes
• Assist in documenting workflows, SOPs, and process guidelines
• Act as a coordination point for payroll and HR operations-related queries
• Communicate payroll timelines, reminders, action items, and status updates to stakeholders
• Build effective working relationships with HR, Finance, Payroll, IT teams, and external vendors
• Ensure timely follow-ups and resolution of issues impacting payroll or HR operations
• Support cross-functional collaboration for HR projects and operational activities

HR Data Analyst – Payroll & Operations

• Managing master data, including creation, updates, and deletion.
• Managing users and user roles.
• Provide quality assurance of imported data, working with quality assurance analysts if necessary.
• Commissioning and decommissioning of data sets.
• Processing confidential data and information according to guidelines.
• Helping develop reports and analyses.
• Managing and designing the reporting environment, including data sources, security, and metadata.
• Supporting the data warehouse in identifying and revising reporting requirements.
• Supporting initiatives for data integrity and normalization.
• Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems.
• Generating reports from single or multiple systems.
• Troubleshooting the reporting database environment and reports.
• Evaluating changes and updates to source production systems.
• Training end-users on new reports and dashboards.
• Providing technical expertise in data storage structures, data mining, and data cleansing.

• Own the implementation and ongoing management of analytics platforms, including Google Analytics 4 (GA4), Google Tag Manager (GTM), and Microsoft Clarity.
• Design, develop, and maintain robust dataLayers to support accurate tracking and scalable analytics
• Build and maintain automated dashboards and reporting solutions that provide actionable insights to stakeholders
• Contribute to Conversion Rate Optimisation (CRO) analysis, including evaluating test performance and delivering clear recommendations for improvement
• Partner with marketing, product, and engineering teams to define tracking requirements and ensure high-quality data collection
• Identify and troubleshoot data discrepancies across platforms, ensuring data accuracy and consistency
• Translate data into meaningful insights and recommendations to support business decision-making, with a keen focus on the user experience on digital platforms
• Contribute to improving analytics processes, documentation, and tracking standards
• Support the Data & Insights manager with developing client’s data strategies and planning
• Own ongoing and regular website reporting activities
• Recommend optimisations to a digital experience based on research and data driven insights

Digital Data Analyst, GA4, GTM, Looker

• Update internal reports in a timely and accurate manner as well as handle other administrative requests
• Advise client service and other support teams on data related matters
• Extract data from multiple sources, validate information received and develop framework in order to provide clear, compelling metrics and reports for data analysis
• Create and maintain rich interactive visualizations through data interpretation analysis integrating various reporting components from multiple data sources
• Build and support automated data structures that can be shared with units across the department
• Track critical metrics and KPIs, and deliver actionable insights
• Assist team and manager with various projects
• Work closely with manager to facilitate team planning and operations
• Drive team performance through mentorship and management support initiatives
• Perform various administrative tasks assigned.

Trust Data Analyst

• Build and maintain dashboards and data tools to support business goals.
• Deliver ad hoc analyses that explain trends and assess performance.
• Conduct statistical analysis to uncover actionable insights.
• Design and analyze A/B tests and controlled experiments.
• Create predictive models to support forecasting and goal-setting.
• Collaborate with engineering on data pipelines and reporting logic.
• Work across cloud data platforms and BI tools to meet stakeholder needs.
• Partner with internal teams to understand business challenges and provide data-driven solutions.
• Identify gaps in data collection and help improve data quality and integration.
• Clean and transform raw data for use in reporting and analysis.

Senior Data Analyst

• Harness modern GenAI models to process and analyze massive datasets
• Ensure sentiment analysis and topic categorization meet our "gold standard" for client reports
• Actively monitor for bias, hallucinations, and privacy risks
• Design, test, and document advanced prompts to automate workflows
• Translate complex AI-driven data into stunning visualizations

Junior AI Data Analyst

• Interact with a global team of skilled individuals in Manila, the US and the rest of the world.
• Track weekly sales data and create sales forecasts, reports and internal data-analysis to help inform and guide future business operations.
• Use Salesforce CRM software and other internal operations tools to identify areas for process and sales improvement
• Create and document sales operations process to standardize our sales playbook materials
• Perform data cleansing and database deduping, monitor data quality, Import and mass update data as needed

• Database Management & Data Hygiene
• Identify and remove duplicate agent records in Insellerate using email addresses and mobile numbers
• Maintain database accuracy through ongoing manual cleanup and validation
• Audit email lists to identify invalid or non-compliant addresses that may impact campaign deliverability
• List Building & Data Extraction
• Generate targeted call lists from platforms such as Mailchimp, SlickText, and RETR based on location, production metrics, and partner status
• Build and manage Excel-based datasets using advanced formulas to cross-reference multiple sources and eliminate duplicates
• Event Registration & Data Coordination
• Register agents for events by retrieving and verifying contact data from internal databases and external online sources
• Accurately input and manage registrations within Eventbrite
• Marketing & Testimonial Management
• Extract agent testimonials from post-event SMS campaigns
• Format and enhance testimonial content using Canva
• Coordinate with the web team to update and publish testimonials on the website
• Post-Event Data Processing
• Collect and digitize agent referral data from physical lists following events
• Input and organize referral data into internal systems for future marketing and follow-up

See all jobs on JobTailor

Data Analyst

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Customer Experience Data Analyst

Head of Data Analytics, Insights

Sales Analytics Manager

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HR Data Analyst – Payroll & Operations

Data Analyst

Digital Data Analyst, GA4, GTM, Looker

Trust Data Analyst

Senior Data Analyst

Junior AI Data Analyst

Data Analyst

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