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Work Background
StradaData Analyst
Jan. 2024São Paulo, BrasilI work as a data analyst, working mainly in the areas of Growth, Customer Experience, Banking and the use of AI applications in the corporate environment. I have performed several analyses, for example: analyses to understand user behavior, carbon emissions (CO2), analyses to improve processes and workflows, use of the company's products and I also help with the translation of business problems into technical solutions. I use the following tools in my day-to-day: Looker, SQL, Big Query, Power BI, Python (for analysis and machine learning frameworks), Jira, Confluence and Github.
ZubaleGrowth Data Analyst
May. 2023 - Jul. 2023São Paulo, BrasilI actively participate in the campaign cycle, such as planning, using tools such as Google Ads/Facebook ads, helping to project the number of users reached and/or impacted. I assist in the development of dashboards to analyze KPIs CPA, CAC, Average Ticket, LTV, CTR, CPC, CVR, among others, using data visualization tools such as Looker, in order to measure the success or points for improvement of the campaign carried out and generate insights, through tools such as Google Analytics/Looker, which can be used in future decisions or to analyze possible changes in user behavior, helping to optimize the company's results in line with the established goals.
BRFPricing Data Science Analyst
Jan. 2022 - May. 2023São Paulo, BrasilCurrently I work, among other activities, in the development and automation of Dashboards in the Data Science Pricing area, using several data visualization tools, including Power BI. To ensure the reliability and veracity of the information provided, the extraction process is carried out, via Azure database and/or Data Lake using SQL, and data treatment (ETL) from internal and external sources, as well as alignment with the area to ensure adherence to pre-established expectations and deadlines. Occasionally, analyzes are also made, using Python, R or Excel, and presentations to the board, in order to generate insights and, together with the KPIs made available through Power BI, make decision-making more Data-Driven, in order to contribute to the company's competitiveness and sustainable growth.
GPAAdministrative Assistant - Data Science
May. 2021 - Jan. 2022São Paulo, São Paulo, BrazilI worked in the development and automation of Dashboards and/or routines in the Data Science area of Demand Planning, using several data visualization tools, including Power BI. To ensure the reliability and veracity of the information provided, the process of extracting large (Millions) amounts of data is carried out, via the Teradata database using SQL or through network files, and data processing (ETL) from internal sources, through tools such as Knime and Alteryx, as well as alignment with the business area to ensure adherence to pre-established expectations and deadlines. Occasionally, analyzes are also made, using Python or Excel, and presentations for coordination, in order to generate insights or identify trends and, together with the KPIs made available through Power BI, make decision-making more Data-Driven, in order to contribute. with the company's competitiveness and sustainable growth.
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