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.
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.
- 5+ years of professional software engineering, cloud engineering, solution architecture, or application development experience
- Hands-on development experience using at least one of the following: C#/.NET; Python and TypeScript
- Strong communication skills must be conversational
- Hands-on experience with Microsoft Azure and Azure-based application development.
- Strong experience building and integrating REST APIs.
- Client-Facing Communication Skills
- AI Application Exposure: At least 1 year of AI-related experience, preferably involving: AI-enabled applications; Azure OpenAI or enterprise AI platforms and Workflow automation powered by AI
- SQL & Data Integration
- DevOps & Deployment Experience
- Hands-on experience with Azure AD / Entra ID, OAuth, SSO and Authentication and authorization concepts
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.