Data Analyst
About Our Client
Our client is a fast-growing company that operates multiple online dating platforms. They specialize in direct media buying and scaling high-converting traffic sources. With a focus on innovation, premium traffic partnerships, and data-driven growth, their goal is to become a leader in the online dating industry.
Job Summary
We are seeking a detail-oriented Data Analyst to help track, evaluate, and optimize over $1M in monthly media campaigns. You’ll analyze performance metrics, uncover key trends, and provide strategic insights to improve ROI across a wide range of traffic sources and platforms.
Key Responsibilities
Monitor key performance indicators (KPIs) such as CPA, CTR, and ROAS across campaigns on Facebook, Google, native ads, and other traffic channels.
Analyze conversion funnels to identify bottlenecks and recommend optimization strategies.
Develop and maintain dashboards and reports using tools like Google Analytics, Tableau, or Looker Studio.
Design and interpret A/B tests for creatives, landing pages, and targeting segments.
Collaborate closely with media buyers to refine campaign strategies based on data insights.
Requirements
2+ years of experience in data analysis, preferably within digital marketing, media buying, or e-commerce.
Proficient with analytics and BI tools such as Google Analytics, Looker Studio, Tableau, etc., and with ad tracking platforms like Voluum or ClickMagick.
Experience working with large datasets and performing statistical analysis.
Excellent communication skills to translate complex data into clear, actionable insights.
Prior experience in the online dating or gaming industry is a plus, but not required.
Why Join This Project?
Work in a dynamic, fast-paced environment with a high-performing team.
Have a direct impact on multi-million dollar campaigns.
Collaborate with experts in media buying, creative, and tech.
Opportunity to grow within a rapidly expanding industry.
- Department
- Analytics & Data
- Role
- Data Engineer
- Locations
- Europe
- Remote status
- Fully Remote
- Employment type
- Full-time

Data Analyst
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