Geovani Lima Cardoso

Experience

• 

  Unilever

  Jul 2019 - Jun 2022

  1 - Stock analysis: Assessing stock status to prevent stockouts and excess inventory, ensuring supply chain efficiency.2 - Product analysis: Conducting analyses of innovative products from Unilever and market offerings, identifying opportunities for improvement.3 - Reports in Power BI: Creating interactive reports in Power BI for visualization and tracking of the analyses performed.4 - ETL process in Alteryx: Working on the ETL (Extract, Transform, Load) process for large datasets, optimizing the flow of information.5 - Data querying and analysis in Tableau: Performing quick data queries and analyses in Tableau to generate insights that served other areas of the company. Show less At Unilever, I was responsible for managing e-commerce sell-out data, ensuring its consolidation and processing for strategic analysis. My main activities included:1 - Data reception and processing: Integration of data from various formats (CSV, Excel) and consolidation of information.2 - Data cleaning and preparation: Using R programming language to standardize and unify files into a single output.3 - Automation with Alteryx: Creating workflows for data processing and cross-referencing with other internal datasets.4 - Dashboard development: Developing interactive dashboards in Power BI for monitoring results and trends. Show less

  • Business Intelligence Intern

    Feb 2021 - Jun 2022

  • Business Intelligence Apprentice

    Jul 2019 - Jan 2021
• 

  Grupo DPSP

  Sept 2022 - Jan 2024

  Junior Data Analyst

  1 - Data extraction via SQL: Extracting data to provide information to other areas of the company, supporting the creation of reports and analyses.2 - Management of Excel reports: Administering sales reports used by field managers and directors to evaluate sales performance.3 - Participation in campaigns: Collaborating on campaign initiatives by parameterizing data to assess the performance of products from partner industries.4 - Creation of reports in Qlik Sense: Developing reports and dashboards in Qlik Sense for data visualization and analysis.5 - Automation with Power Query and Python: Using Power Query to automate Excel datasets and Python to implement additional data process automations. Show less

• 

  Vidalink

  Jan 2024 - Nov 2024

  Mid-Level Data & Analytics

  1 - Case and study analysis: Conducting analyses of cases and studies to answer specific questions, such as understanding the reasons behind the strong performance of a particular medication or product in general.2 - Dashboard creation in Metabase: Developing and managing dashboards in Metabase for KPI monitoring.3 - Occasional use of Power BI: Sporadically creating reports in Power BI to meet specific demands.4 - Data extraction with SQL: Intensively using SQL for extracting data necessary for analyses, managing the PostgreSQL database, and creating query codes, views, procedures, and functions.5 - Metrics modeling and KPI design: Developing custom metrics and designing strategic KPIs to monitor product and business area performance, providing valuable insights and guiding strategic decisions. Show less

• 

  Oliver Latin America

  Nov 2024 - now

  Business intelligence Analyst