About Us
Aarki is an AI company that builds advertising solutions to drive mobile revenue growth. We use AI to find audiences in a privacy-first world using trillions of contextual bidding signals coupled with proprietary behavioral models. Our audience engagement platform includes a full-service agency team and a Unified Creative Strategy that delivers ad creative ideation and execution. We have worked with hundreds of advertisers over 14 years and see 5M mobile ad requests per second from over 10B devices, driving performance for publishers and brands. The company is headquartered in San Francisco, CA, with offices in the United States, EMEA, and APAC.
Role Overview
As an Analyst at Aarki, Inc., you will play a critical role in driving data-driven decision-making processes and optimizing our advertising strategies. You will work closely with cross-functional teams to analyze large datasets, uncover actionable insights, and contribute to the continuous improvement of our advertising campaigns. Your expertise in data analysis and your ability to communicate findings effectively will be essential in shaping our success.
This role requires in-office presence five (5) days a week and will be based in our office in Beijing, China.
Responsibilities

• Run campaign optimization, data trend analysis, and missing opportunity analysis to identify areas of improvement and growth for assigned accounts.
• Collaborate with key members of the Product, Data Science, Engineering, and Business Development teams by providing data-driven insights and recommendations.
• Drive growth of the organization through analytical and business development projects.
• Own analytics-related conversations with clients and drive success for the assigned accounts.

Skills & Experience

• Graduate of Mathematics, Statistics, Engineering, Computer Science, or any other analytical field.
• 2-5 years of hands-on analytics experience in the programmatic media advertising/ad tech industry.
• Comfortable in a fast-paced startup environment.
• Experience using BI tools (Tableau, Sisense, etc.).
• Foundational knowledge and experience using SQL, Python, R, and related data query tools.