Pipefy is seeking a Data Analyst specialized in Marketing to boost our results through strategic analysis and actionable insights. In this position, you will combine the best of both worlds: data-driven precision with strategic marketing vision.

About Pipefy

We are a leading SaaS platform for process management and workflow automation, enabling companies to optimize operations without coding. We value data-driven decision-making and constant innovation. Our culture fosters collaboration, critical thinking, and measurable impact.

Key Responsibilities

Create and maintain performance dashboards and reports for different stages of the marketing and sales funnel (traffic, MQLs, SQLs, pipeline, revenue);
Provide visibility into various campaigns and acquisition channels;
Conduct ROI analysis of campaigns and channels in partnership with the performance team, applying critical thinking to evaluate cost and return of each action;
Develop predictive models that turn into tangible goals and support strategic marketing investment decisions;
Propose, implement, and test different attribution models (online/offline) to accurately measure campaign effectiveness;
Ensure data integration and governance across paid media platforms, web analytics, and CRM systems, guaranteeing data quality and reliability;
Participate in technical meetings with partners such as Google, Meta, LinkedIn, Bling, and software marketplaces (Gartner, G2, etc.);
Collaborate to improve tracking, events, and conversion data;
Act as a bridge between the technical data team and marketing stakeholders;
Translate business questions into actionable analyses and communicate complex insights clearly.

Requirements and Qualifications

Essential Requirements

Proven experience in data analysis applied to marketing or growth, preferably in a B2B or SaaS context;
Proficiency in SQL and data visualization tools such as Tableau for building strategic dashboards;
Experience with paid media platforms (Google Ads, Meta Ads), web analytics (GA4), and CRM systems (Hubspot, Salesforce);
Ability to build clear, objective, and decision-oriented dashboards;
Experience with ROI and attribution models to measure campaign effectiveness;
Advanced English for communication with international stakeholders and partners.

Desirable Qualifications

Experience with predictive modeling, including regression, time series, and forecasting;
Knowledge of Python and ETL tools for automating data processes;
Familiarity with modern data stack technologies such as Snowflake, dbt, or Airflow.

Ideal Profile

We are looking for an analyst who stands out for their meticulous attention to detail and ability to interpret complex data into actionable insights. You will thrive in this role if you: