Work experience with Business Intelligence, Data Analysis, Analytics Engineer and Data Governance. 7+ years of experience in data.As Analytics Engineer- Data Modeling and Optimization: Created and optimized 100+ data models, centralizing information from 10+ sources, processing billions of records daily. Enabled 200+ employees to access high-quality, consistent data using DBT.- Optimization of Complex Models: Refactored complex models, reducing processing time from 10 hours to 1h, allowing for intra-day updates.- Data Governance and Quality: Built monitoring workflows with automated tests and dashboards, ensuring data integrity.- Data Catalog, Lineage, and Glossary: Documented data models, mapping sources and destinations both technically and in business terms.- ETL Processes: Implemented Data Lakes in Google BigQuery, with Python and Airbyte for extraction, SQL for transformation, and loading data from 20 sources.As Data analyst / BI Analyst- Data Visualization: Proficient with Power BI, Metabase, Looker Studio, and Excel. Built and maintained 30+ dashboards for 300 employees and managers.- Machine Learning Implementation: Developed and implemented a clustering algorithm that grouped 50,000 customers based on consumption patterns, resulting in an increase in conversion rates from 3% to 15% in targeted marketing campaigns.- Operational Monitoring: Implemented near real-time system, updating millions of records every 30 minutes, optimizing operational capacity.Tools and Technologies- Data Manipulation & Modeling: DBT, SQL, Python- Databases: Postgres, SQL Server, Google BigQuery, Amazon Redshift, MongoDB- Data Visualization Tools: Power BI, Looker Studio, Metabase, Excel- Programming Languages: Python, R- Cloud Platforms: Google BigQuery, Google Cloud Storage, Google Virtual Machines, Amazon Redshift, Amazon Athena, Amazon S3- Machine Learning: Proficient in Python and R, with experience in implementing or studying techniques such as linear regression, logistic regression, decision trees, random forests, SVM, KNN, Naive Bayes, K-Means Clustering, neural networks, and gradient boosting machines.I love data projects. Therefore, I have created a github where I will host some projects I have already done. If you want to take a look, just access https://github.com/nahdaveiga/projects
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Data SpecialistAthenahqUnited States -
Analytics EngineerCaf Oct 2022 - Present- Data Modeling and Optimization: Created and optimized 100+ data models, centralizing information from 10+ sources, processing billions of records daily. Enabled 200+ employees to access high-quality, consistent data using DBT.- Optimization of Complex Models: Refactored complex SQL models, reducing processing time from 10 hours to 1h, allowing for intra-day updates.- Data Governance and Quality: Built monitoring workflows with automated tests and dashboards, ensuring data integrity.- Data Catalog, Lineage, and Glossary: Documented data models, mapping sources and destinations both technically and in business terms. Creation of the first data catalog for the company.- Data Visualization: Proficient with Power BI and Metabase. Built and maintained 10+ dashboards for 200 employees and managers. -
Analytics EngineerDaten - Data Analytics May 2022 - PresentSanta Cruz Do Sul, Rio Grande Do Sul, Brasil- ETL Processes: Implemented Data Lakes in Google BigQuery, with Python and Airbyte for extraction, SQL for transformation, and loading data from 20 sources.- Data Visualization: Proficient with Power BI, Metabase, Looker Studio, and Excel. Built and maintained 30+ dashboards for 300 employees and managers.- Machine Learning Implementation: Developed and implemented a clustering algorithm that grouped 50,000 customers based on consumption patterns, resulting in an increase in conversion rates from 3% to 15% in targeted marketing campaigns.- Cohort and Retention Analysis: Conducted cohort and retention analysis to identify behavioral patterns over time, helping the company better understand customer lifecycles and the effectiveness of retention strategies. These analyses allowed for the redirection of marketing and acquisition strategies toward user profiles that remained engaged with the product over longer periods. -
Data AnalystMk Solutions Jan 2022 - Oct 2022Santa Cruz Do Sul -
Senior Sales AnalystExcelsior Alimentos S.A Apr 2019 - Jan 2022 -
Junior Sales AnalystKopp Apr 2015 - Apr 2019
Natã Blum Skills
Natã Blum Education Details
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Business Administration And Management, General
Frequently Asked Questions about Natã Blum
What company does Natã Blum work for?
Natã Blum works for Athenahq
What is Natã Blum's role at the current company?
Natã Blum's current role is Data Specialist.
What schools did Natã Blum attend?
Natã Blum attended Unopar - Universidade Norte Do Paraná.
What skills is Natã Blum known for?
Natã Blum has skills like Microsoft Excel, Microsoft Word, Pesquisa, Vendas, Planejamento, Estudos De Viabilidade, Atendimento Ao Cliente, Trabalho Em Equipe, Relacionamentos Interpessoais, Flexibilidade.
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