Deskripsi Pekerjaan
Are you a data-driven professional passionate about uncovering actionable insights? Staff Domain Inc is seeking a talented Digital Data Analyst to join our growing team. In this pivotal role, you will leverage your expertise in Google Analytics 4 (GA4), Google Tag Manager (GTM), and Looker to track, analyze, and optimize our digital performance. We are looking for a mid-level professional who can translate complex data into clear, actionable business strategies.
You will work closely with our marketing and product teams to ensure data accuracy, drive growth through evidence-based decision-making, and improve our overall user experience. If you thrive in a dynamic environment and love solving problems through data, we want to hear from you.
Tanggung Jawab
- Manage and optimize Google Analytics 4 (GA4) implementations to ensure accurate tracking of user behavior and conversions.
- Utilize Google Tag Manager (GTM) to create and manage event tracking codes for marketing campaigns.
- Develop and maintain interactive dashboards in Looker to visualize key performance indicators (KPIs) for stakeholders.
- Perform regular data audits to ensure data integrity, accuracy, and compliance with privacy regulations.
- Collaborate with cross-functional teams to define data requirements and interpret findings to improve digital strategies.
- Analyze funnel performance and user segments to identify bottlenecks and opportunities for optimization.
- Generate weekly and monthly performance reports highlighting trends, insights, and growth areas.
Kualifikasi
- 3+ years of experience as a Digital Data Analyst or similar role in a web-focused environment.
- Strong proficiency in Google Analytics 4 (GA4) and Google Tag Manager (GTM).
- Advanced knowledge of Looker or Google Data Studio (Looker Studio) for data visualization.
- Familiarity with SQL and databases to extract and manipulate data for analysis.
- Experience with other data visualization tools such as Tableau or PowerBI is a plus.
- Bachelor’s degree in Statistics, Mathematics, Computer Science, Marketing, or a related field.
- Strong analytical mindset with excellent attention to detail.