Growth Analyst

Kayzen

. Manage day-to-day campaign optimization across advertisers and monitor CPA, ROAS, and retention KPIs .

Posted 10/22/2026full-timeRemoteJuniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in programmatic ad buying and campaign optimization, utilizing SQL for data analysis and leveraging LLMs for performance diagnostics. Strong understanding of mobile attribution and experience with MMPs to drive client success and optimize advertising strategies.

Highest-signal resume keywords

Programmatic Ad BuyingSQL Data AnalysisMobile AttributionCampaign OptimizationClient Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Campaign OptimizationSQLA/B TestingData AnalysisMobile AttributionBid AdjustmentsCPA MonitoringROAS MonitoringPerformance DiagnosticsPython

Soft Skills

Analytical MindsetClear CommunicationCuriositySolution-OrientedCollaboration

Tools & Technologies

MMPsAppsFlyerAdjustSingularDashboardsReporting ToolsLLMsGPTClaudeCTV/OTT Platforms

Industry Keywords

Ad OperationsAdtechCampaign ManagementClient GoalsInventory Quality

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Manage day-to-day campaign optimization across advertisers and monitor CPA, ROAS, and retention KPIs
Execute publisher management, bid adjustments, and dayparting across banner, video, native, and CTV ad formats
Run A/B tests on bids, budgets, creatives, and geographies; document results and contribute to the Trading Playbook
Monitor pacing and daily budget allocation, proactively flagging risks and under-delivery
Build understanding of mobile attribution, including postback flows, attribution windows, and MMP integrations
Use SQL to pull and analyze campaign data using joins, CTEs, and window functions
Leverage LLMs such as GPT and Claude for recurring analyses, data briefs, and performance diagnostics
Support dashboards and reporting tools for the trading team
Work with CSMs on client goals and campaign status
Support QBR preparation and client-facing deliverables
Collaborate with Product Support on delivery issues and Supply on inventory quality questions

Requirements

What you’ll need

Minimum 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
SQL ability or demonstrated willingness to learn quickly
Curiosity about AI and automation and willingness to use LLMs in daily workflow
Nice-to-have exposure to Python, CTV/OTT, or mobile in-app DSP platforms
Solution-oriented with a bias toward action
Clear communicator comfortable asking questions and collaborating across teams

Benefits

Comp & perks

Competitive compensation with a performance-based component
Exceptional career growth and learning possibilities
Mentorship by experienced growth analysts
Exposure to advanced workflows, including LLMs, ClickHouse, and audience strategy
High degree of responsibility and independence
Direct, day-to-day work with management
Flexible work-from-home arrangement; work from the Berlin, London, or Bangalore office or fully remote
$500 home-office setup budget
$1,000 annual learning and development budget
Multinational team