Jobs · Full-time

Growth Analyst at Kayzen - Remote EMEA & LATAM — Columbus

LocationColumbus
CompanyKayzen
Sourcejobicy
Posted2026-11-09 19:31:02

Traveler-Friendly Insight

Location Flexibility: This role is explicitly open to remote candidates across EMEA, LATAM, and India — a broad geographic scope that suits digital nomads well. The key constraint is a preference for CET-adjacent time zones, which covers popular nomad hubs like Lisbon, Barcelona, Berlin, Warsaw, Cape Town, and Buenos Aires. Southeast Asia (Bangkok, Bali) would be a stretch at UTC+7/+8, making afternoon/evening shifts likely necessary.

Async vs. Sync: The role involves daily campaign monitoring and cross-functional collaboration with CSMs and product teams, suggesting regular sync touchpoints are expected. It is not purely async. Nomads should plan to be available during CET business hours (roughly 9am–6pm CET), which works well from Europe, Africa, and the Americas (LATAM).

Visa Considerations: With EMEA and LATAM coverage, strong visa options include:

  • Portugal — Digital Nomad Visa (D8), popular and accessible
  • Spain — Digital Nomad Visa, requires proof of remote employment
  • Colombia (Medellín) — Nomad visa or tourist visa (90 days extendable)
  • Argentina — Rentista visa or tourist entry with easy extensions

Perks for Nomads: The $500 home-office setup budget can cover a portable monitor, keyboard, or coworking day passes. The $1,000 annual L&D budget could fund AdTech or SQL courses. No explicit coworking or travel allowance is mentioned, so budget for coworking separately.

🌎 Remote from EMEA or LATAM
Remote from India

Hello 👋 I am Willian, Trading and Analytics Lead at Kayzen, and I am now looking for a Growth Analyst to join our team 🙌

About Kayzen

Kayzen is the Apps DSP: an AI-native platform built on its own bidding engine, for buying app inventory across mobile and connected TV screens. App developers, agencies, media buyers and ad platforms use Kayzen to drive full-funnel outcomes across both screens, from awareness and consideration to installs, purchases and calls. Available through self-serve and managed services, Kayzen combines machine-learning optimisation with bid- and impression-level transparency, granular control over buying decisions, and AI capabilities that connect campaign data to the AI assistants teams already use. Kayzen's vision is to democratise programmatic marketing by making it accessible to every team. Headquartered in Berlin, Kayzen operates globally.

The Team

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.

Why This Role

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.

What You'll Do

Trading Excellence

  • 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.

Analytics & Automation

  • 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.

Cross-Functional Impact

  • 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 the hiring manager is 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 for 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.

Requirements

  • Minimum 1–3 years of programmatic ad buying, ad operations, or adjacent adtech experience is a must.
  • Familiarity with MMPs (AppsFlyer, Adjust, Singular) and attribution concepts; hands-on experience preferred.
  • Analytical mindset; 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.

What We Offer

  • Competitive compensation with a performance-based component
  • Exceptional career growth and learning possibilities — you'll be mentored by experienced growth analysts and exposed to advanced workflows (LLMs, ClickHouse, audience strategy) earlier than at most organizations
  • A unique opportunity to be part of an experienced team of industry experts and entrepreneurs who bring massive change to the AdTech market
  • A high degree of responsibility and independence
  • Direct, day-to-day work with management
  • A fun, driven, and multinational team located across Germany, India, Argentina, Ukraine, Spain, the UK, and many more countries
  • A flexible work-from-home arrangement: work from our Berlin, London, or Bangalore office, or fully remote — you decide
  • A $500 home-office setup budget
  • A $1,000 annual learning and development budget

Frequently Asked Questions

What regions are eligible to apply for this Growth Analyst role?
Kayzen is open to candidates based in EMEA, LATAM, and India. The role is fully remote, though applicants are encouraged to be in or near the CET time zone for optimal overlap with internal teams and clients.
Is this role fully remote or is office attendance required?
The position is flexible — you can work fully remotely or from Kayzen's offices in Berlin, London, or Bangalore. The choice is yours.
What level of SQL experience is required?
A basic SQL ability or a demonstrated willingness to learn quickly is sufficient. The role will gradually develop your comfort with joins, CTEs, and window functions over time.
What is the compensation structure for this role?
Kayzen offers competitive compensation with a performance-based component, but no specific salary figures are listed in the job posting. Additionally, there is a $500 home-office setup budget and a $1,000 annual learning and development budget.
Do I need prior experience with LLMs or AI tools to apply?
No prior LLM expertise is required. Kayzen values curiosity and openness to using tools like GPT or Claude as part of daily workflows; you will learn these on the job alongside senior analysts.
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