תיאור המשרה
#li-hybrid Bigabid is an innovative technology company led by data scientists and engineers devoted to mobile app growth. Our proprietary ad platforms powered by machine learning are the outcome of that devotion.
We deliver valuable results and insights for a fast-growing clientele of major app developers using elite programmatic user acquisition and retargeting technologies. Our ever evolving, state-of-the-art machine learning platform targets high value users in real-time at their peak potential to ensure our client’s app growth.
We are looking for a highly motivated, data-driven User Acquisition Manager who is detail-oriented and result-driven to deliver flawless campaign execution.
You will have an exciting career combining creative thinking, analytical skills, attention to detail, and problem solving to help meet and exceed client’s business goals and KPIs.
Bigabid is a fantastic place to work. We reward talent. Our employees support each other to advance individually and as a team. Most of all, we exceed our client’s expectations while still having fun.
Responsibilities:
- Manage a portfolio of large scale budget campaigns with a goal-oriented approach and strong analytical capabilities
- Analyze and optimize audience-based campaigns on an ongoing basis to exceed client KPI’s
- Work with product and data science teams to gather trends and campaign-specific insights to improve performance for campaigns and technology platforms
- Strong analytial and critical thinking skills
- Troubleshooter, problem-solver who knows how to navigate trade-offs
- Highly skilled in Excel – pivots, vlookup, advanced formulas
- Excellent communication skills
- English – High level (oral & written) – a must
- SQL experience - advantage
- Ability to handle fast-paced environments with effective time-management skills
- Must be able to prioritize and meet deadlines
- Bachelor’s degree (preferably in the quantitative discipline)
Manage goal-oriented campaigns with strong analytical capabilities. Work with product and data science teams to improve performance for campaign.
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