Data Visualization Analyst at Minerva Foods transforming complex data into clear and actionable insights. Leading visual strategies to support strategic decision-making across the organization.
Responsibilities
Minerva Foods is a leading beef exporter in South America and also operates in the processed foods segment, marketing its products to more than 100 countries. In addition to Brazil, Minerva Foods has operations in Paraguay, Argentina, Uruguay, Colombia, and operates specialized sheep processing plants in Australia.
We are seeking a Senior Data Visualization Analyst to turn complex data into clear, visual, and actionable stories, supporting strategic decision-making at various levels of the organization.
Requirements
Design analytical visual experiences, from understanding the business problem to delivering the final dashboard or report. Participate in discussions with the client area to ensure the best outcome for the dashboards;
Translate strategic questions into structured visual narratives, defining the best presentation format for each audience (executive, tactical, and operational);
Experience with Power BI and orchestration of data sources to optimize table merges for dashboards, ensuring quality and performance;
Ensure the company's best-practice data modeling guide and Power BI publishing policy to guarantee performance and stability of environments;
Work closely with business areas to refine questions, hypotheses, and key indicators;
Support BI and Analytics teams in selecting visualizations, storytelling, and analytical design best practices;
Conduct critical reviews of existing dashboards, proposing simplification, standardization, and increased analytical value;
Contribute to the evolution of the company's analytical culture by disseminating best practices and training users.
Benefits
Solid experience in Data Visualization and Visual Analytics in corporate environments using Power BI and Grafana;
Proficiency in visualization tools such as Power BI and proven historical experience with the tool;
Strong knowledge of data storytelling and information design;
Experience interacting with business areas and understanding metrics;
Knowledge of UX/UI principles applied to dashboards;
Ability to translate complex data into clear and objective messages;
Experience with basic data modeling for analytical purposes;
Attention to detail and critical judgment in choosing charts and metrics.
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