Renan G.
Financial Analyst

Skills

Sql

Python

Postgresql

Renan is available for hire

Hire Renan G.

All Howdy Candidates are vetted for skills and english proficiency.

Bio

A graduate of Control and Automation Engineering from the Federal University of Lavras, holding a robust interest in the technological advancements shaping contemporary dynamics, with current responsibilities encompassing significant contributions in Business Intelligence (BI). Proficiencies include transforming raw data into actionable insights using Power BI, specializing in data analysis to enhance decision-making processes within diverse teams. Additionally, capabilities include the automation of intricate processes, which markedly diminishes manual workloads.

Business Intelligence Assistant
10/1/2022 - 1/1/2024

Developed expertise in data extraction from data lakes and proficiently modeled and created data warehouses. Utilized Databricks to transform and automate data flows through scheduling, making the process more efficient and reducing manual intervention. Advanced SQL query processing was directly integrated with Power BI to build functional and dynamic dashboards. These dashboards were instrumental in presenting complex data insights to Sales, Compliance, Registration, CX, CS, Product, Operations, and C-Level teams. Demonstrated a high level of proficiency in automating company operations targets, reducing the target-setting process from 2 hours to 15 minutes. Monthly calibration of these targets involved close collaboration with area managers to ensure alignment and accuracy.
Analytics Intern
10/1/2021 - 10/1/2022

Gained substantial expertise in Tableau, Power BI, and DAX, leveraging these tools to create dynamic and interactive data visualizations for business intelligence purposes. Developed proficiency in Python and SQL for data analysis and manipulation, utilizing Databricks and metabase for enhanced data processing and visualization capabilities. Worked extensively with Dbeaver and Azure environments, focusing on the development and maintenance of Data Warehouses and Data Lakes.

Implemented and optimized ETL processes using various tools and services including Athena and AWS, ensuring efficient data pipeline management for Big Data projects. Demonstrated strong database management skills and the ability to handle large-scale data infrastructures. Utilized Businessmap and Shortcut to map out business processes and streamline project workflows.

Collaboratively managed projects and tasks using Trello, ensuring timely delivery and effective communication among team members. Advanced knowledge in Excel was frequently leveraged, including the creation of complex VBA Macros to automate data tasks. Enhanced collaborative efforts and visual planning through Miro and Figma, aiding in the design and planning stages of data projects.