Principal Marketing Analyst

New
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iSupport WorldwideMarketing analytics
Pasig, Metro Manila, PhilippinesFull-TimePrincipal
Salary not disclosed
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Job Details

Experience
7+ years of experience in analytics, business intelligence, or data analytics roles; at least 3 years of dedicated marketing analytics experience
Required Skills
PythonSQLMicrosoft Power BIHubSpotDatabricksR

Requirements

  • Hold a bachelor's degree in Analytics, Data Science, Statistics, Mathematics, Business Intelligence, Computer Science, or a related discipline.
  • Have 7+ years of experience in analytics, business intelligence, or data analytics roles.
  • Have at least 3 years of dedicated marketing analytics experience supporting campaign measurement, attribution, channel performance, and marketing spend optimisation.
  • Demonstrate expert-level SQL proficiency for complex querying, data modelling, data validation, and warehouse analytics.
  • Have expert-level experience designing and building complete Power BI solutions, including semantic models, reporting layers, dashboards, and enterprise reporting structures.
  • Demonstrate advanced DAX expertise, including filter context, context transition, and scalable measure development.
  • Have experience with attribution modelling, campaign measurement, incrementality testing, A/B testing, holdout testing, matchback analysis, and reporting governance.
  • Be proficient in Python or R for advanced analytics, automation, modelling, and data analysis; PySpark experience is an advantage.
  • Have experience with Databricks, Spark, or comparable cloud-based analytics platforms.
  • Have hands-on experience with Google Analytics 4 (GA4) and HubSpot, including data integration, attribution analysis, and reporting.
  • Be familiar with Hightouch, a MarTech platform.
  • Be able to validate and take accountability for analyses and outputs generated using AI-assisted tools.
  • Demonstrate analytical thinking, stakeholder management, problem-solving, business partnering, and the ability to work independently with ambiguous requirements.

Responsibilities

  • Lead analytical projects by translating business questions into actionable insights and validated recommendations for senior stakeholders.
  • Define analytical methodologies, assumptions, reporting standards, and sources of truth for marketing decisions.
  • Design and govern marketing data models, semantic layers, KPI frameworks, channel mappings, and reporting classifications.
  • Establish quality assurance, validation, reconciliation, and accuracy standards for marketing analytics deliverables.
  • Review and certify marketing analyses, reports, dashboards, and insights produced by cross-functional teams.
  • Design campaign measurement frameworks, incrementality and holdout testing, and year-over-year performance methodologies.
  • Build and maintain executive Power BI dashboards, reports, and semantic models for lead generation, conversion, retention, campaign effectiveness, and ROI.
  • Perform audience segmentation, customer clustering, survey analysis, propensity modelling, and performance forecasting.
  • Present findings and recommendations to executive stakeholders and defend methodologies, assumptions, and conclusions.
  • Partner with marketing leaders on lifecycle marketing, customer re-engagement, referral analysis, digital funnel optimisation, and platform modernisation.
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