Data Engineer - Business Intelligence Developer (100% Remote!)

CLICK HERE TO APPLY: ---------- .com/2rwwm95y (Only applications submitted through this link will be considered)

POSITION SUMMARY:

The Data Engineer - Business Intelligence Developer is responsible for transforming complex data into actionable insights to guide our clients' marketing strategies and improve overall campaign performance. In this role, you will work closely with various teams, to analyze data from multiple sources, including Google Analytics, Google Ads, social media platforms, and CRM systems. You will develop intuitive dashboards, automate reporting processes, and create compelling visualizations that highlight key performance indicators (KPIs), helping stakeholders make data-driven decisions.

Pay range monthly: PHP 140,000 - PHP 160,000 monthly
Location: Remote-Philippines (100% Work From Home)
Work Schedule: 8AM to 5PM Central Standard Time
Employment Type: Independent Contractor (40 hours/week)

KEY RESPONSIBILITIES:

Develop and maintain interactive dashboards, ensuring stakeholders have real-time insights.
Collect, analyze, and interpret data from digital marketing platforms (e.g., Google Analytics, Google Ads, Facebook Insights) to track campaign performance.
Automate reporting processes to streamline data collection and distribution across multiple departments.
Collaborate with marketing and client services teams to define KPIs and provide insights that optimize campaign strategies.
Ensure data quality and integrity by validating and cleaning data before analysis.
Conduct ad-hoc analysis to uncover trends, opportunities, and insights that drive marketing effectiveness.
Requirements:
Knack for “figuring it out” when taking on new tasks or processes
Strong desire to grow and learn more, highly coachable
Technically savvy, able to understand how systems work and interact quickly
Proficiency in SQL, Google Analytics, Google Tag Manager, Excel/Sheets, and BI tools.
Strong understanding of digital marketing metrics and performance tracking.
Excellent problem-solving skills and the ability to communicate complex data insights.
Reporting against defined performance KPI standards
Setting up conversion tracking for digital analytics and ad pixels
Experience with Paid Search platforms (Google Ads, Microsoft Ads)
Experience with Paid Social platforms (Meta Ads, LinkedIn Ads, TikTok Ads)
Experience with Python or R is a plus.

EDUCATION AND EXPERIENCE:

4-year college degree or equivalent experiential knowledge
Prior experience working in a professional services organization
0-3 years professional experience in digital marketing

PHYSICAL REQUIREMENT:
Prolonged periods sitting at a desk and working

BENEFITS:
10 Paid Vacation Days, 5 Paid Sick Days
10 Paid Company Holidays
Maternity, Paternity, Bereavement Leave
Performance Bonus Plan