Data and Business Analyst

F
FortiveAnalytics
Candidates must be currently based in Brazil.Full-TimeMiddle
Salary not disclosed
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Job Details

Experience
4–5 years
Required Skills
PythonSQLMicrosoft Power BISalesforceSnowflakeTableauData modeling

Requirements

  • 4–5 years of experience using SQL for data extraction and transformation.
  • 4–5 years of experience using Python for advanced analytics, automation, or modeling.
  • Hands-on experience with forecasting and predictive modeling.
  • Experience working with modern data warehouses such as Snowflake, Amazon Redshift, or Google BigQuery.
  • Strong understanding of data modeling concepts, including star and snowflake schemas, and normalized vs. denormalized designs.
  • Advanced proficiency with BI and visualization tools such as Power BI or Tableau.
  • Proven ability to lead analytics projects end-to-end—from business requirements through analysis and executive recommendations.
  • Experience delivering measurable business impact through analytics, reporting, or revenue operations.
  • Excellent communication skills for translating complex analyses into actionable insights for senior stakeholders.
  • Nice-to-have: Experience working with CRM platforms such as Salesforce.
  • Nice-to-have: Familiarity with automated data pipelines or reporting automation.

Responsibilities

  • Transform data into actionable insights that support revenue growth, operational efficiency, and strategic planning.
  • Identify and contribute to the development of scalable data tools that improve how data is transformed, managed, and accessed.
  • Build predictive and forecasting models to support revenue growth, marketing effectiveness, and improved customer experiences.
  • Lead analytics and modeling projects that translate organizational data into clear, data-driven recommendations.
  • Design and maintain interactive dashboards and reports aligned to key performance indicators (KPIs).
  • Implement modern tools and techniques to analyze, visualize, and communicate data trends effectively.
  • Partner with business teams to support operational improvements and growth initiatives.
  • Prepare executive-level summaries and detailed analytical reports with visual storytelling.
  • Present findings and recommendations to senior leadership, including options and trade-offs.
  • Collaborate closely with Finance and executive stakeholders to support recurring business review and planning cycles.
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