Senior Data Analyst

Curitiba, Paraná, Brasil Full-time Allows remote

Pipefy is currently searching for an analytically strong, technically proficient and startup-ready professional to be our Data Analyst.

Pipefy is the lean management platform. We help anyone take control of their daily work, in areas from employee onboarding to customer service to agile development. Our software puts the proven benefits of lean management within easy reach, including greater agility, improved efficiency and higher quality outcomes. Since we started in 2015, Pipefy has helped thousands of doers around the world solve business problems on their own. Today, companies in over 150 countries use Pipefy, from startups to industry leaders such as Accenture, Visa, GE and Volvo.

What You´ll Do:

  • Collaborate with leadership and customer-facing functions to prioritize, develop and act on product data analyses and experimental hypotheses.
  • Own the data environment for the company that enables us to run experiments and act on data we collect, as well as collaborate with engineering to ensure that the environment evolves with our needs and scale.
  • Partner to drive the case for vendors, partners and implementation methods (e.g. tech stack, tools, core competencies, machine learning strategies) in our data environment, teams and related workflows.
  • Gain a deep understanding of the Pipefy lean management platform and its myriad use cases through data as well as interactions with customer-users and internal stakeholders.
  • Adopt a data-driven approach to analyze the implementation of features for business and customer impact.
  • Develop predictive models of customer expansion and churn and partner with customer-facing teams to integrate them into workflows, refine practices and messaging accordingly.
  • Analyze behavioral analytics to support experimentation and campaign optimization.

What We Need You to Have:

  • At least 4 years work experience in a Data Analysis function.
  • Ability to analyze, troubleshoot, problem solve, and present data for cross-functional action.
  • Experience making data-driven decisions and recommendations to a senior group.
  • Demonstrated examples of implementing data pipelines and related workflows.
  • Expert-level SQL and data-visualization/management tool familiarity.
  • Near-expert data-oriented programming languages (Python or R) -- but don’t worry you will have Engineering support for production-quality implementations.
  • Basic familiarity with AWS cloud computes and storage architectures.
  • Good storytelling and aptitude for data visualization.
  • Collaborative skills, including comfort with distributed teams.
  • Bachelor's degree required.
  • Excellent verbal and written English communication skills to effectively collaborate with cross-functional teams and with customers.

It Would Be Awesome if You Had:

  • A Mathematical or Computer Science concentration or you have a degree in a related field (we are more interested in your professional work).
  • A Familiarity with enterprise IT, SaaS, systems integration and/or cloud technologies a plus (engineering experience is not required).
  • A Client-facing experience in consulting capacities.


  • Semi-Flexible Hours (40h/ week).
  • A casual and international environment – be who you are and meet other cultures every day.
  • A competitive compensation package.
  • Gympass.
  • Health and Dental Insurance.
  • Meal Allowance.
  • Bus Pass.

Pipefy: The Lean Management Platform – Meet Us:

Lean management principles have proven to be transformative–but only for people with access to extensive training and resources. Pipefy changes that, with the first lean management platform. We believe that when doers have the tools they need to improve their work, without relying on anyone else, there’s no limit to what they can accomplish.

We make it easy for anyone to streamline recurring business processes on their own, from employee onboarding to customer service to agile development. Our customizable, template-driven software helps people eliminate wasted time and effort and become more agile and efficient