Senior Data Analyst (San Nicolás de Los Arroyos)

Improvado Ver todas las vacantes

  • San Nicolás de los Arroyos, Provincia de Buenos Aires
  • Permanente
  • Tiempo completo
  • Hace 1 día
Improvado is an AI-powered marketing data platform built for mid‑market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like ASUS, Docker, Activision, and H&R; Block rely on us to simplify analytics and improve marketing performance.
We’re a fast‑growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high‑quality execution.
About The Role
The Senior Marketing Analyst’s primary responsibility is to help clients maximize value from their marketing data. You’ll own client delivery end‑to‑end for your assigned accounts — from data modeling through final reporting. You’ll design and maintain dashboards across BI platforms, ensure data quality, and deliver clear, actionable reporting. This role also involves managing data transformations in dbt and working with complex, multi‑source data architectures. You’ll leverage AI tools (e.g. Codex, Claude) to accelerate your workflows.
We are looking for someone who is reliable, responsible, quality‑minded, keeps commitments, takes ownership of their work, and can confidently present results to clients.
ResponsibilitiesSupport clients directly — understand their requirements, translate them into data solutions, and deliver clear insights
Build and maintain dashboards and reports in Looker, Power BI, and Tableau — depending on client setup
Design and maintain data models that consolidate data from multiple marketing platforms and sources
Map and document data flows across complex, multi‑source schemas
Proactively identify opportunities, trends, or risks in marketing data and communicate findings clearly
Write, optimize, and troubleshoot SQL queries for reporting, analysis, and investigations
Manage and enhance data transformations with dbt
Conduct QA/UAT to ensure data accuracy, consistency, and trustworthiness
Use Git for version con

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