# Principal Marketing Analyst > iSupport Worldwide · Pasig, Philippines · Full-time · Posted 2026-08-03 **Salary:** Up to unknown currency 300,000 **Workplace:** on_site **Department:** US Fitness ## Description ### What is your mission? We are looking for a **Principal Marketing Analyst** to lead executive-level marketing analytics, reporting governance, campaign measurement, advanced modelling, and business intelligence initiatives. This role will oversee marketing data models, Power BI semantic layers, marketing performance reporting, attribution analysis, forecasting, customer segmentation, and Databricks migration initiatives while supporting strategic decision-making for senior leadership. **You will provide the best service to our partner brands by performing these tasks:** - Own and deliver executive-level analytical projects from problem definition through presentation of findings and recommendations. - Partner with senior stakeholders to define methodologies, assumptions, validation processes, and reporting standards for complex business and marketing initiatives. - Design, develop, and govern marketing data models, semantic layers, KPI definitions, channel mappings, and reporting classifications. - Establish and maintain data governance, reporting standards, data definitions, and calculation methodologies across marketing analytics functions. - Lead the development, optimisation, and maintenance of executive-level Power BI dashboards, reports, and semantic models. - Design and implement methodologies for campaign measurement, incrementality testing, holdout testing, attribution analysis, and year-over-year performance comparisons. - Establish analytical quality assurance frameworks, reconciliation standards, and validation processes for marketing reporting. - Review and certify the accuracy of marketing analytics deliverables before executive distribution. - Design and execute advanced analytics initiatives including customer segmentation, clustering, propensity modelling, forecasting, and survey research analysis. - Analyse lead generation, conversion, retention, marketing campaign effectiveness, customer acquisition, and return on investment metrics. - Provide strategic insights related to audience targeting, marketing spend allocation, campaign optimisation, referral programmes, lifecycle marketing, and customer engagement initiatives. - Present complex analytical findings, methodologies, and recommendations directly to executive and leadership audiences. - Support marketing technology initiatives by defining reporting and data collection requirements for marketing systems and digital channels. - Lead the migration and modernisation of marketing analytics solutions to a Databricks lakehouse platform. - Build, maintain, and optimise production reporting pipelines using SQL, Python, and modern analytics platforms. - Ensure all analytical assets, reports, methodologies, and documentation are accurate, transparent, reproducible, and audit-ready. - Collaborate with cross-functional teams to improve reporting consistency, business intelligence capabilities, and analytical maturity across the organisation. ## Requirements ### Who are we looking for? - Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, Physics, or a similarly quantitative discipline. - Advanced degree is an advantage. - Minimum 7 years of post-degree professional experience in Analytics, Business Intelligence, Data Engineering, or related fields. - At least 3 years of experience supporting executive-level stakeholders and executive-facing reporting initiatives. - Minimum 3 years of experience designing and developing production-grade semantic models and dimensional data models. - Minimum 3 years of dedicated experience in Marketing Analytics, including campaign performance analysis, attribution, channel optimisation, and marketing measurement. - Experience establishing reporting standards, governance frameworks, KPI definitions, quality assurance procedures, and analytical methodologies. - Expert-level proficiency in SQL for advanced querying, data modelling, validation, and performance optimisation. - Expert-level proficiency in Power BI, including semantic modelling, dimensional modelling, star schema design, DAX development, row-level security, deployment pipelines, incremental refresh, storage mode optimisation, and performance tuning. - Advanced expertise in DAX, including context transition, filter context management, and complex measure development. - Strong understanding of statistical analysis, experiment design, significance testing, segmentation techniques, clustering methodologies, and regression analysis. - Experience using Python, R, or similar analytical programming languages for automation, modelling, and advanced analytics. - Experience with Databricks, Spark, PySpark, or comparable lakehouse and big data platforms is highly preferred. - Hands-on experience with Google Analytics 4 (GA4), HubSpot, marketing automation systems, CRM platforms, and digital marketing reporting tools. - Proven expertise in marketing performance metrics including CAC, LTV, ROAS, attribution modelling, retention analysis, churn analysis, and conversion funnel performance. - Experience designing and implementing testing methodologies including A/B testing, holdout testing, matchback analysis, and related measurement frameworks. - Strong verbal and written communication skills with the ability to present technical findings to executive audiences. - Excellent stakeholder management, analytical reasoning, problem-solving, and business consulting skills. - Demonstrated ability to work independently, manage ambiguity, and translate business questions into actionable analytical solutions. - High standards of quality, intellectual honesty, accountability, and data accuracy. ## Benefits ### Why you'll love it here? - Free lunch meals, fruits, snacks, and beverages for employees assigned to onsite shifts. - Access to an onsite gym with a complimentary professional fitness instructor. - Weekly fitness activities and an annual fitness challenge with prizes of up to ₱70,000. - Weekly employee engagement activities with prizes of up to ₱3,000. - Free upskilling academy to support career growth and professional development. - State-of-the-art office facilities and modern workstations. - Access to employee amenities including sleeping quarters, game area, chat room, and shower rooms. - Fun, collaborative, and employee-focused work environment. ## Apply [Apply at iSupport Worldwide](https://apply.workable.com/isupport-worldwide/j/FF3D6A32BB/apply) --- Powered by [Workable](https://www.workable.com)