Data-Driven Decision Maker
3 weeks ago
About Aarki
Aarki is a pioneering AI company that specializes in building innovative advertising solutions to drive mobile revenue growth. Our team uses AI to find audiences in a privacy-first world by leveraging trillions of contextual bidding signals and proprietary behavioral models. We offer a full-service agency team and a Unified Creative Strategy that delivers ad creative ideation and execution. Our audience engagement platform has worked with hundreds of advertisers over 14 years, processing 5M mobile ad requests per second from over 10B devices, driving performance for publishers and brands. Our headquarters is in San Francisco, CA, with offices in the United States, EMEA, and APAC.
Role Overview
As a Data-Driven Decision Maker at Aarki, 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 and will be based in our Bengaluru office.
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.
Requirements
- Graduate of Mathematics, Statistics, Engineering, Computer Science, or any other analytical field.
- At least 2 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.
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