OPEN TO FILIPINO CITIZENS WHO ARE CURRENTLY RESIDING IN THE PHILIPPINESPosition: Paid Ads Marketing AnalystWork Hours (Client : M-F EST 9AM-5PMWork Hours (MNL) : M-F 9PM-5AM Manila timePay Range:$ 900- 1800 USD (Philippine candidate)/month (depending on interview assessment and client's approval) Please take note that pay will be given in USDJob Summary:As a Paid Ads Marketing Analyst, you will be responsible for managing and optimizing campaigns across various digital platforms, including Amazon, Facebook, Google, Apple Search Ads, and other channels. The ideal candidate should have a strong analytical mindset, preferably with a technical degree, and experience in managing PPC and Facebook campaignsKey Responsibilities:- Manage Apple Search Ads campaigns, including launching new campaigns and optimizing bidding over time.- Launch and optimize Google Ads campaigns to achieve key performance indicators.- Develop and scale Facebook Ads campaigns and ad sets to enhance app visibility and drive performance.- Test and explore new channels such as TikTok and LinkedIn.- Analyze performance data across all advertising platforms and provide strategic recommendations for campaign optimization.- Design and implement experiments to test new strategies, audiences, and creative assets.- Collaborate closely with the creative team to build new assets that align with campaign objectives.- Provide insights and feedback based on data analysis to refine creative strategies and improve ad performance.- Create comprehensive performance reports, highlighting key metrics and insights to inform stakeholders.- Stay updated on industry trends and best practices, and apply new insights to improve campaign performanceRequirements- 2+ years of experience creating, managing, and scaling digital ad campaigns on major platforms (Google Ads, Facebook Ads Manager, Apple Search Ads, and TikTok Ads).- Passion for uncovering innovative tactics and tools to stay ahead of the curve, with a strong focus on experimentation and optimization.- Strong quantitative and data analysis skills, with the ability to quickly synthesize data to make informed campaign decisions.- Exceptional attention to detail and experience working in a team environment.- Preferred educational background: Technical university degree in engineering, mathematics, computer science, statistics, information systems, accounting, or a related quantitative field.
