Emiliano has over ten years of experience as a Data Analyst across diverse industries, including finance, telecommunications, and gaming.

A BI Consultant with over a decade of experience in the data field, holding a robust proficiency in SQL Server, Oracle, PostgreSQL, Python, Power BI, Tableau, Qlik Sense, SAS, Teradata, and SSIS. Presently, skills are being expanded through the study of JavaScript. Proficient in English.

A seasoned professional with over a decade of expertise in Procurement, Supply Chain, Purchasing, and Logistics, specializing in problem-solving and data analysis, this candidate demonstrates significant proficiency in areas such as Materials Planning and Inventory Management. With a robust skill set in Purchasing processes, Supplier Assessment, and KPI reporting, the individual has successfully implemented key projects that enhanced operational efficiency, including the restructuring of reporting protocols for federal compliance and the establishment of a Transportation Control Tower project aimed at cost reduction. The candidate possesses advanced knowledge of relevant software tools including SAP ECC MM and SD, Power BI, and SQL, bolstered by a solid educational background in Logistics and Port Management. Expertise in Lean and Six Sigma methodologies further underscores a commitment to continuous improvement and optimal resource utilization.

Lucia is an Industrial engineer with a special interest in operations and data analysis. Lucia led several teams at different production sites, and has over 10 years of experience in Supply Chain & Ops roles.

Data scientist with over two years of experience and a degree in Aeronautical Engineering, specializing in data engineering and data science projects. Expertise includes utilizing statistical analysis and machine learning methodologies to solve complex problems, with proficiency in tools such as Python, R, Power BI, and SQL. Recent accomplishments involve developing machine learning models for industrial applications, creating ETL tools for carbon emission reporting, and designing management dashboards to improve decision-making processes. Holds multiple certifications in Data Science and relevant technologies, demonstrating a commitment to continuous professional development.

A qualified professional with over 10 years of experience in information management, specializing in identifying gaps through statistical analysis to inform decision-making. Proficient in BI tools such as Power BI and Tableau, as well as programming languages including R and SQL, alongside advanced Excel capabilities. Demonstrates extensive experience in analyzing sales processes (Sell In and Sell Out), pricing strategies, strategic planning, and enhancing business routines across various regions, channels, and products/categories. Displays a strong aptitude for rapid learning of new activities and technologies, continuously updating knowledge on market trends and innovations.

With over six years of experience in the IT sector specializing in business and data analysis, this professional has focused primarily on projects involving Business Intelligence (BI) and Big Data. Key competencies include requirement gathering, screen prototyping, ETL processes, database management and modeling, and dashboard creation. These skills have consistently been leveraged to deliver substantial value to client businesses in the domains of BI and Big Data.

Nicolas has worked for ten years as a systems engineer in server administration, SRE, and DevOps roles. The last few years have given him the opportunity to work with sophisticated cloud infrastructure, including automation and security.

Einstein Analytics, now known as Tableau CRM, is a cloud-based analytics platform integrated with Salesforce that enables users to analyze data, gain insights, and make data-driven decisions. It provides tools for creating interactive dashboards, visualizing complex datasets, and leveraging AI to predict trends and outcomes within the Salesforce ecosystem.

An Einstein Analytics expert must have skills in Salesforce CRM, data modeling, and ETL processes. Proficiency in SAQL (Salesforce Analytics Query Language) and JSON is essential for advanced data manipulation and dashboard customization. Knowledge of AI and machine learning within the Salesforce ecosystem, as well as experience with creating and managing datasets, lenses, and dashboards, is crucial.

How to hire a Einstein Analytics (Salesforce) expert

Einstein Analytics, initially launched in 2014 by Salesforce, was developed to enhance data visualization and analytics capabilities within the Salesforce ecosystem. It aimed to provide users with advanced tools for analyzing data, creating interactive dashboards, and leveraging AI for predictive insights. Over time, it evolved and was rebranded as Tableau CRM following Salesforce's acquisition of Tableau in 2019.

About Einstein Analytics (Salesforce)

Strengths of Einstein Analytics include seamless integration with 

, advanced AI-driven insights, and user-friendly interactive dashboards. Weaknesses involve a steep learning curve for new users and potentially high costs for full-feature access. Competitors include 

Einstein Analytics (Salesforce)

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About Einstein Analytics (Salesforce)

How to hire a Einstein Analytics (Salesforce) expert

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