Analyst - BLR

Who are we?

RZR Global is an AI-driven company specializing in mobile advertising solutions designed to fuel revenue growth. We leverage AI to discover audiences in a privacy-first environment through trillions of contextual bidding signals and proprietary behavioral models. Our audience engagement platform includes creative strategy and execution. We handle 5 million mobile ad requests per second from over 10 billion devices, driving performance for both publishers and brands. We are headquartered in San Francisco, CA, with a global presence across the United States, EMEA, and APAC.

The role?

As an Analyst at RZR Global, 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 and will be based in our Bengaluru office.

What will you do?

• 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.
  
  

• At least 2 years of hands-on analytics experience (required) in the programmatic media advertising/ad tech industry.
• Graduate of Mathematics, Statistics, Engineering, Computer Science, or any other analytical field.
• 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.