Senior Solutions Engineer, Marketing Analytics

Improvado·Удалённо·Удалённо·2д. назад

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 Solutions Engineer'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.

Responsibilities

Build and maintain dashboards and reports in Looker, Power BI, and Tableau — depending on client setup.
Write, optimize, and troubleshoot SQL queries for reporting, analysis, and investigations.
Manage and enhance data transformations with dbt where necessary.
Support clients directly — understand their requirements, translate them into data solutions, and deliver clear insights.
Conduct QA/UAT to ensure data accuracy, consistency, and trustworthiness.
Use Git for version control and collaboration.
Proactively identify opportunities, trends, or risks in marketing data and communicate findings clearly.
Leverage AI tools to be 10x more productive than the average analyst.

Must Have Qualifications

3+ years of experience as Data Analyst with marketing data
Expert-level proficiency in at least one BI platform (Looker, Power BI, or Tableau), with the ability to deliver projects across all.
Proficiency in SQL
Proficiency in data modelling (dbt preferred)
Knowledge of Google Analytics (advanced level, for business understanding)
Experience with Git
English C1 level with excellent written and verbal communication (client-facing role)
Strong analytical skills, proactive problem-solving, and high attention to detail
Comfortable with ambiguity and able to drive clarity with clients and internal teams
Hands-on experience with QA/UAT processes
Proficiency with AI tools and ability to learn new ways of working is essential