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iSupport Worldwide

Principal Marketing Analyst

Data Science +1Confirmed live in the last 24 hours
Full-timePasig, Metro Manila, Philippines$300kRemote

About the Job

Requirements

  • A bachelor's degree in a relevant discipline such as Analytics, Data Science, Statistics, Mathematics, Business Intelligence, Computer Science, or a related field is required.
  • Hands-on experience and a strong marketing analytics background are required.
  • At least 7 years of experience in analytics, business intelligence, or data analytics roles is required.
  • At least 3 years of dedicated marketing analytics experience supporting campaign measurement, attribution analysis, channel performance evaluation, and marketing spend optimization is required.
  • Expert-level proficiency in SQL for complex querying, data modeling, data validation, and warehouse analytics is required.
  • Expert-level experience designing and building complete Power BI solutions, including semantic models, reporting layers, dashboards, and enterprise reporting structures, is required.
  • Advanced expertise in DAX, including filter context, context transition, and scalable measure development, is required.
  • Strong experience with marketing analytics methodologies, including attribution modeling, campaign measurement, incrementality testing, A/B testing, holdout testing, matchback analysis, and reporting governance, is required.
  • Proficiency in Python or R for advanced analytics, automation, modeling, and data analysis is required.
  • Hands-on experience with Google Analytics 4 and HubSpot, including data integration, attribution analysis, and reporting, is required.
  • Familiarity with Hightouch, a marketing technology platform, is required.
  • The ability to validate, review, and take full accountability for analyses and outputs generated using AI-assisted tools is required.
  • The ability to communicate effectively with executive-level stakeholders is required.
  • Analytical thinking, stakeholder management, problem-solving, and business partnering capabilities are required.
  • The ability to work independently, manage ambiguous requirements, and deliver high-quality outputs in a fast-paced environment is required.
  • Attention to detail and commitment to data accuracy, governance, and documentation standards are required.

Responsibilities

  • Lead end-to-end analytical projects by translating complex business questions into actionable insights and validated recommendations for senior stakeholders.
  • Define analytical methodologies, assumptions, reporting standards, and sources of truth for business-critical marketing decisions.
  • Design, develop, and govern marketing data models, semantic layers, key performance indicator frameworks, channel mappings, and reporting classifications.
  • Establish and maintain quality assurance, validation, reconciliation, and accuracy standards across marketing analytics deliverables.
  • Review and certify the accuracy of marketing-related analyses, reports, dashboards, and insights produced by cross-functional teams.
  • Design and implement campaign measurement frameworks, incrementality testing, holdout testing, and year-over-year performance methodologies.
  • Build and maintain executive-level Power BI dashboards, reports, and semantic models focused on lead generation, conversion, retention, campaign effectiveness, and return on investment.
  • Perform advanced analytics including audience segmentation, customer clustering, survey analysis, propensity modeling, and performance forecasting.
  • Present findings, insights, and recommendations directly to executive stakeholders and defend methodologies, assumptions, and conclusions.
  • Partner with marketing leaders on lifecycle marketing, customer re-engagement strategies, referral program analysis, and digital funnel optimization initiatives.
  • Support marketing analytics platform modernization initiatives, including migration to Databricks lakehouse architecture and reporting transformation efforts.
  • Define marketing technology data collection requirements and ensure reliable attribution, engagement tracking, and performance measurement capabilities.
  • Maintain data governance, documentation, auditability, and reproducibility standards across analytical assets.

Desired Qualifications

  • PySpark experience is an advantage.
  • Experience with Databricks, Spark, or comparable cloud-based analytics platforms is highly preferred.

About the Company

iSupport Worldwide

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