




Job Summary: An experienced professional in creating interactive reports, automated workflows, and data analyses to optimize decision-making in Business Intelligence and automation projects. Key Highlights: 1. Application of AI to data and integration of diverse sources 2. Development of BI solutions using Microsoft Fabric 3. Creation of dashboards for sustainability and risk management Job Description The Data Management, Analysis, and Visualization team supports projects with Business Intelligence and automation solutions to deliver dashboards, reports, and intelligent workflows that optimize decision-making for our clients. We seek an experienced professional skilled in creating interactive reports, automated workflows, and data analyses using tools such as Microsoft Power BI, Power Automate, and Fabric. Future development opportunities include applying artificial intelligence to data, integrating diverse data sources, building pipelines in Fabric, and developing more advanced analytical solutions. Responsibilities: * Create and/or coordinate the creation of new ETLs (Extract, Transform and Load) to support dashboard development projects; * Support existing ETLs (Extract, Transform and Load) and dashboards by assisting project teams in resolving specific issues, continuously improving performance, and adding new functionalities; * Build and/or coordinate the development of new dashboards for projects covering various topics related to environment, sustainability, and risk management—such as Contaminated Site Management, Environmental Licensing, Mergers and Acquisitions, and Due Diligence; * Develop and/or coordinate the development of BI solutions using Microsoft Fabric capabilities—including pipelines, notebooks, dataflows, and lakehouses—for data integration and orchestration; * Apply Artificial Intelligence capabilities within BI solutions, leveraging predictive models, automated data analysis, and insight generation to support decision-making; * Conduct alignment meetings regarding scope, estimated effort (in hours), and deadlines with project teams, and monitor progress of assigned tasks; * Ensure adherence to internal procedures and best practices for data management and visualization. Technical Skills: * Advanced knowledge of Microsoft Power BI: experience developing interactive dashboards and reports, with emphasis on user experience; * Advanced knowledge of data modeling and commonly used DAX functions (CALCULATE, FILTER, variable declarations, SUMMARIZE, CALCULATETABLE), M language (logical IF statements, date operations, table append and merge), and API querying; * Proficiency in Microsoft Office (especially Excel—advanced level): pivot tables, chart creation, database modeling and structuring; * Intermediate English proficiency. Behavioral Skills: * Agile, dynamic, independent, and curious when solving complex problems; * Strong organizational, communication, and task delegation skills; * Systems thinking and commitment to continuous improvement; * Focus on user experience and full dedication to client needs; * Ability to switch between projects covering different topics; * Commitment to staying updated on software updates and emerging tools in the Data Science and BI market; * Familiarity with online communities to find solutions for development challenges related to the tools used. Desirable but not mandatory: * Programming knowledge in R and/or Python; * Experience with Microsoft Power Automate platform; * Hands-on experience with Microsoft Fabric tools and features; * Use of Artificial Intelligence capabilities applied to BI and automated analytics; * Experience in environmental consulting. Relevant Differentiators: * Knowledge of SQL and database structuring using Azure and/or other platforms; * Familiarity with ESRI tools; * Experience with environmental data management software—EQuIS. Required Education and Experience: * Bachelor’s degree in Engineering, Environmental Management, Chemistry, Computer Science, Information Systems, Systems Analysis and Development, or related fields; * Minimum of 4 years of professional experience.


