AI Automation & Insights Analyst (ASO, UA, CRM)

New

Remote in EuropeFull-TimeSenior

Salary not disclosed

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Job Details

Languages: Excellent English communication (written and verbal)
Experience: 2–5 years of experience
Required Skills: PythonSQLArtificial IntelligenceJavascriptMicrosoft Power BITypeScriptTableauAirflowRESTful APIsJSONCRMAnalytical thinkingBigQuery

2–5 years of experience in analytics, growth analytics, marketing analytics, BI, or a similar function in a fast-paced environment
Strong SQL skills (BigQuery preferred) and comfort working with real-world, imperfect datasets
Ability to translate analysis into actionable recommendations for non-technical audiences
Working knowledge of at least one: ASO, UA/performance marketing, or CRM/lifecycle marketing
Familiarity with AI-assisted workflows and tools (prompting, structured outputs, code-assisted analysis)
Comfort with APIs, automation concepts (webhooks, JSON), and building repeatable processes
Excellent English communication (written and verbal)
n8n (or Zapier/Make/Airflow) experience building reliable automations (Nice to have)
Experience with mobile measurement and privacy constraints (MMPs, attribution concepts, SKAN, incrementality) (Nice to have)
Hands-on exposure to UA platforms (Meta, Google, TikTok, Apple Search Ads) or CRM tooling (Nice to have)
Python and/or JavaScript/TypeScript for scripting and automation (Nice to have)
Experience building dashboards or report templates (Looker Studio, Tableau, Power BI, or code-based charting) (Nice to have)

Build end-to-end automated pipelines: data pull → transformation → analysis → narrative → deck/report output
Create automated insight workflows for ASO: keyword and conversion funnel insights, category and competitor monitoring, experiment ideas
Create automated insight workflows for UA: channel/campaign performance, creative insights, efficiency diagnostics, scaling recommendations
Create automated insight workflows for CRM: cohort/retention analysis, segmentation, lifecycle performance, churn and reactivation insights
Work hands-on in BigQuery (including via MCP servers where relevant) to query, model, and validate data
Use AI tools (e.g., Claude Code, Codex, Gemini CLI) to accelerate SQL, analysis, visualization, and narrative generation while keeping quality high
Integrate data via APIs and orchestrate workflows using automation tools like n8n
Produce clear, decision-ready storytelling: concise takeaways, charts with context, and recommended actions
Add guardrails: QA checks, validation rules, and human-in-the-loop review for critical outputs

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