Senior Marketing Data & BI Analyst – US Client (Cebu)

Private Advertiser; Cebu City; Hybrid; PHP 900,000 - 1,300,000; Full time

Job summary

Private Advertiser is seeking a Senior Marketing Data & BI Analyst to build a robust intelligence foundation for a US-based healthcare client. You will connect marketing and sales data, automate reliable pipelines, and translate complex signals into clear recommendations for senior stakeholders.

The role blends marketing analytics, BI, and analytics engineering with hands-on work across data sources, models, and dashboards, in a hybrid-to-remote setup.

Qualifications

• 3+ years of experience in marketing analytics, business intelligence, or related field.
• Advanced practical skills in SQL and Python, including data pipelines/workflows.
• Experience with Databricks or similar cloud-data platforms and BI tools.
• Experience analyzing marketing data from platforms like HubSpot, GA, Google Ads, Meta Ads.
• Strong English written and verbal communication; able to translate data into actionable insights.

Responsibilities

• Build and maintain automated workflows uniting marketing, sales, referrals and revenue data.
• Use SQL and Python to clean, join, validate, and document data.
• Organize datasets in Databricks or a comparable cloud-data platform and improve data quality.
• Analyze customer acquisition, channel performance, attribution, and market trends for growth.
• Develop CAC, LTV, and ROI models to guide budgets and campaigns.
• Create dashboards and performance models for leadership using Tableau/Power BI/Excel.
• Present findings and recommendations to senior US stakeholders across functions.

Skills

SQL

Python

Data pipelines

ETL

English communication

Education

Bachelor's degree in a quantitative field

Tools

Databricks

Tableau

Power BI

Excel/Google Sheets

Python libraries (pandas/numpy)

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.