Growth Analyst (m/f/d)

Kayzen is a mobile demand-side platform (DSP) dedicated to democratizing programmatic advertising. We enable leading apps, agencies, media buyers, and brands to run programmatic customer acquisition, retargeting, and brand performance campaigns through our self-serve and managed service options. Built on the three core pillars of performance, transparency, and control, Kayzen powers the world’s best mobile marketing teams with bespoke solutions that fuel business growth and deliver a competitive advantage. With an unprecedented scale of 300B+ daily ad requests from 1.6B+ unique users worldwide, we serve up to 1B+ ads per day in 180 countries. Kayzen is accessible through our APIs and user interface.

The Trading team is responsible for creating growth through the management and optimization of mobile performance advertising campaigns for clients utilizing the managed service offering. The goal of the team is to deliver on the client's objectives through established or new trading best practices and communicate account status regularly and effectively with their CSM counterparts. 

This is a hands-on trading role where you'll manage mobile programmatic campaigns across verticals like gaming, fintech, and betting, optimizing toward CPA/ROAS targets while learning to scale efficiently. You'll work closely with senior growth analysts and cross-functional partners, gaining exposure to advanced analytics, LLM-powered workflows, and trading strategies that go well beyond what most desks offer at this level. If you're analytical, curious about automation, and want to accelerate your programmatic career, this is the role for you.

• Manage day-to-day campaign optimization across a set of advertisers; monitor and hit KPI targets (CPA, ROAS, retention) with guidance from senior growth analysts.
• Execute supply-side and audience optimization tactics including publisher management, bid adjustments, and dayparting across ad formats (banner, video, native, CTV).
• Run A/B tests on bids, budgets, creatives, and geos as part of broader testing roadmaps; document results and contribute learnings to the Trading Playbook.
• Monitor pacing and budget allocation daily, flagging risks and under-delivery proactively.
• Build a working understanding of mobile attribution (postback flows, attribution windows, MMP integrations) and how attribution models affect how we measure and optimize campaign performance.
  
  

• Use SQL to pull and analyze campaign data from internal databases; build comfort with joins, CTEs, and window functions over time.
• Learn to leverage LLMs (GPT/Claude) for recurring analyses, data briefs, and performance diagnostics,  this is a core part of how our team works.
• Support the creation and maintenance of dashboards and reporting tools used by the trading team.
• Develop your analytical instincts: learn to ask the right questions, understand what's driving performance, and use available tools (SQL, AI, BI tools) to find answers.

• Work with CSMs to understand client goals and communicate campaign status clearly.
• Support QBR preparation and client-facing deliverables alongside senior growth analysts.
• Collaborate with Product Support to troubleshoot delivery issues and with Supply on inventory quality questions.

Since I am based in Argentina and other key product and customer success team members are located mostly across EMEA and India, we are open to a remote setup of this position. For optimal overlap with customers’ time zones and internal teams your main working location should preferably be close to the CET time zone.

• 1–3 years of programmatic ad buying, ad operations, or adjacent adtech experience.
• Familiarity with MMPs (AppsFlyer, Adjust, Singular) and attribution concepts; hands-on experience preferred.
• Analytical mindset; basic SQL ability or a demonstrated willingness to learn quickly.
• Curiosity about AI and automation — you don't need to be an expert, but you should be excited to use LLMs as part of your daily workflow.
• Nice-to-have: Any exposure to Python, CTV/OTT, or mobile in-app DSP platforms.
• Solution-oriented with a bias toward action.
• Clear communicator who's comfortable asking questions and collaborating across teams.