Marketing Data & Insights Analyst

iSupport Worldwide

Metro Manila

Remote

PHP 1,800,000 - 3,000,000

Full time

14 days+

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Benefits offered by this job

Above-industry salary package

HMO + life insurance from day 1

Learning & development opportunities

Dynamic company events

Promotion opportunities

Free meals

Job summary

iSupport Worldwide is seeking a highly experienced Marketing Data & Insights Analyst to lead executive-level marketing analytics initiatives, design measurement methodologies, and deliver data-driven insights that influence business decisions.

You will own marketing analytics, Power BI dashboards, semantic data models, campaign performance reporting, ROI analysis, attribution, and advanced analytics projects while partnering with senior stakeholders.

Qualifications

Bachelor's degree in analytics or a related field.
7+ years in analytics, BI, or data analytics roles.
At least 3 years in marketing analytics supporting campaign measurement and attribution.
Expert-level SQL for complex querying, data modelling and warehouse analytics.
Expert-level Power BI design including semantic models and enterprise reporting.
Advanced DAX expertise including filter context and measure development.
Strong experience with marketing analytics methodologies including attribution, A/B testing, holdout testing, and governance.
Proficiency in Python or R for advanced analytics; PySpark a plus.
Experience with Databricks/Spark and cloud analytics platforms.
Hands-on GA4 and HubSpot data integration and attribution analysis.
Familiarity with Hightouch or similar MarTech platforms.
Ability to validate analyses and defend methodologies to executives.
Strong communication and stakeholder management skills.
Attention to detail with governance and documentation discipline.

Responsibilities

Lead end-to-end analytical projects and translate business questions into actionable insights.
Define methodologies, assumptions, reporting standards, and sources of truth for marketing decisions.
Design, develop, and govern marketing data models, semantic layers, KPIs, mappings, and classifications.
Maintain QA, validation, reconciliation, and accuracy standards across deliverables.
Review and certify analyses, dashboards, and insights produced by cross-functional teams.
Design and implement campaign measurement frameworks, incrementality testing, and year-over-year methods.
Build and maintain executive Power BI dashboards focused on lead generation, conversion, retention, and ROI.
Perform advanced analytics including audience segmentation, clustering, survey analysis, and propensity modelling.
Present findings to executives and defend methodologies and conclusions.
Collaborate with marketing leads on lifecycle marketing and digital funnel optimization.
Support Databricks lakehouse modernization and reporting transformation initiatives.
Define data collection requirements for reliable attribution and performance measurement.

Skills

SQL

Power BI

DAX

Python

Databricks

Spark

GA4

HubSpot

Hightouch

AI analytics validation

Stakeholder management

Communication

Data modelling

Campaign measurement

Education

Bachelor's degree in Analytics/Data Science/Statistics/Mathematics/BI/CS

Tools

Databricks Lakehouse

GA4

HubSpot

Hightouch

Job description

Work Schedule: US Working Hours / Night Shift
Work Location: Cyberscape Alpha, Ortigas Center, Pasig City (Remote)

What is your mission?

We are looking for a highly experienced Marketing Data & Insights Analyst to lead executive-level marketing analytics initiatives, design measurement methodologies, and deliver data-driven insights that influence business decisions. The role will own marketing analytics, Power BI dashboards, semantic data models, campaign performance reporting, ROI analysis, attribution measurement, and advanced analytics projects while partnering closely with senior stakeholders.

You will provide the best service to our partner brands by performing these tasks:

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, KPI frameworks, channel mappings, and reporting classifications.
Establish and maintain quality assurance, validation, reconciliation, and accuracy standards across all 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 ROI.
Perform advanced analytics including audience segmentation, customer clustering, survey analysis, propensity modelling, and performance forecasting.
Present findings, insights, and recommendations directly to executive stakeholders and confidently defend methodologies, assumptions, and conclusions.
Partner with marketing leaders on initiatives such as lifecycle marketing, customer re-engagement strategies, referral programme analysis, and digital funnel optimisation.
Support marketing analytics platform modernisation 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 rigorous data governance, documentation, auditability, and reproducibility standards across all analytical assets.

Who are we looking for?

Bachelor's degree in a relevant discipline such as Analytics, Data Science, Statistics, Mathematics, Business Intelligence, Computer Science, or a related field.
Minimum 7+ years of experience in analytics, business intelligence, or data analytics roles.
At least 3 years of dedicated marketing analytics experience supporting campaign measurement, attribution analysis, channel performance evaluation, and marketing spend optimisation.
Expert-level proficiency in SQL for complex querying, data modelling, data validation, and warehouse analytics.
Expert-level experience designing and building complete Power BI solutions, including semantic models, reporting layers, dashboards, and enterprise reporting structures.
Advanced expertise in DAX, including filter context, context transition, and scalable measure development.
Strong experience with marketing analytics methodologies, including attribution modelling, campaign measurement, incrementality testing, A/B testing, holdout testing, matchback analysis, and reporting governance.
Proficiency in Python or R for advanced analytics, automation, modelling, and data analysis; PySpark experience is an advantage.
Experience working with Databricks, Spark, or comparable cloud-based analytics platforms is highly preferred.
Hands‑on experience with Google Analytics 4 (GA4) and HubSpot, including data integration, attribution analysis, and reporting.
Familiarty with Hightouch: MarTech platform
Demonstrated ability to validate, review, and take full accountability for analyses and outputs generated using AI-assisted tools.
Strong verbal and written communication skills with the ability to communicate effectively with executive-level stakeholders.
Excellent analytical thinking, stakeholder management, problem-solving, and business partnering capabilities.
Ability to work independently, manage ambiguous requirements, and deliver high-quality outputs in a fast-paced environment.
Strong attention to detail, commitment to data accuracy, and dedication to maintaining governance and documentation standards.