Senior Marketing Data & BI Analyst – US Client

Private Advertiser; Metro Manila; Hybrid; PHP 900,000 - 1,500,000; Full time

Job summary

Private Advertiser in the Philippines is seeking a Senior Marketing Data & BI Analyst to build the commercial intelligence foundation supporting growth decisions for a US-based healthcare client.

The role combines analytics engineering, BI, and marketing analytics to connect data from sources like HubSpot, Google Analytics, Google Ads, and internal systems.

You will deliver actionable insights to senior stakeholders and help optimize CAC and LTV through robust models and dashboards.

Qualifications

• 3+ years in marketing analytics, BI, or related field.
• Strong SQL and Python skills for data pipelines.
• Experience with Databricks and BI tools.
• Experience with marketing data platforms (HubSpot, GA, Ads) a plus.
• Excellent written and verbal English communication.

Responsibilities

• Build automated data workflows integrating marketing, sales, referral, and revenue data.
• Develop attribution models and CAC/LTV analytics.
• Create dashboards for leadership using Tableau/Power BI.
• Present findings to senior US stakeholders and cross-functional teams.
• Ensure data quality and document assumptions and methodologies.

Skills

SQL

Python

Data pipelines

Excel/Sheets

Attribution analysis

BI tools (Tableau/Power BI)

Education

Bachelor’s degree in a quantitative field

Tools

Databricks

Tableau

Power BI

Google Analytics

Job description

About the Role

We are looking for a Senior Marketing Data & BI Analyst to build the commercial intelligence foundation supporting the growth decisions of a US-based healthcare client.

You will connect marketing and sales data, automate reliable pipelines, build attribution and unit-economic models, and translate complex performance signals into clear recommendations for senior stakeholders. This is a hands-on role combining marketing analytics, business intelligence, and analytics engineering—not a passive reporting position.

Key Responsibilities

• Build and maintain automated workflows that bring together marketing, sales, referral, and revenue data from HubSpot, Google Analytics, Google Ads, Meta Ads, internal systems, and other sources.
• Use SQL and Python to clean, combine, validate, troubleshoot, and document data.
• Organize reliable datasets in Databricks or a comparable cloud-data platform, while improving data quality, metric definitions, and campaign-tracking standards, including UTM links.
• Analyze the customer-acquisition journey, marketing-channel performance, conversion rates, attribution, and market trends to identify growth opportunities.
• Build models covering Customer Acquisition Cost (CAC), Customer Lifetime Value (LTV), and the time required to recover marketing spend to support budget and campaign decisions.
• Create clear dashboards and performance models for leadership using Tableau, Power BI, Excel, or Google Sheets.
• Evaluate provider referrals, health plan or payer partnerships, and sales performance, including incentive and commission-plan results.
• Present findings, business implications, and data-supported recommendations to senior US stakeholders and teams across Marketing, Sales, Finance, and Operations.

Qualifications

• 3+ years of experience in marketing analytics, business intelligence, data analytics, growth analytics, Revenue Operations analytics, or a related field.
• Advanced practical skills in SQL and Python, including experience building or maintaining data pipelines and automated data workflows.
• Experience with Databricks or a comparable cloud-data platform and a business intelligence tool such as Tableau or Power BI.
• Experience analyzing marketing data from HubSpot, Google Analytics, Google Ads, Meta Ads, or comparable platforms.
• Understanding of digital-acquisition funnels, UTM tracking, multi-touch attribution, Customer Acquisition Cost (CAC), Customer Lifetime Value (LTV), and conversion analysis.
• Advanced Excel or Google Sheets skills for building performance models and evaluating different business scenarios.
• Ability to work with incomplete or inconsistent data, document assumptions, and translate findings into clear, practical recommendations.
• Strong written and verbal English communication skills, including the ability to explain technical findings to non-technical stakeholders.
• Ability to work independently, manage changing priorities, and perform effectively within a hybrid-to-remote setup.

Preferred Experience

• Bachelor’s degree in a quantitative field or equivalent relevant experience.
• Experience with reusable data models, version control, automated testing, or workflow orchestration.
• Experience in healthcare, telehealth, behavioral health, insurance, SaaS, or another regulated or high-growth environment.

If you are excited to combine technical analytics with strategic commercial impact, we encourage you to apply even if you do not meet every preferred qualification.