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Hi, I’m Yago Fiscina Menezes Dias, a data analyst with a knack for turning messy data into clear insights. I specialize in ETL, data pipeline orchestration, and BI solutions using Python, SQL, Airflow, and Power BI. I’ve built automated pipelines that cut processing times dramatically (for example, a contract cancellation workflow reduced run time by over 90%), developed predictive models with strong accuracy, and delivered dashboards that support strategic decisions.…Hi, I’m Yago Fiscina Menezes Dias, a data analyst with a knack for turning messy data into clear insights. I specialize in ETL, data pipeline orchestration, and BI solutions using Python, SQL, Airflow, and Power BI. I’ve built automated pipelines that cut processing times dramatically (for example, a contract cancellation workflow reduced run time by over 90%), developed predictive models with strong accuracy, and delivered dashboards that support strategic decisions.

Yago Fiscina Menezes Dias

Data Analyst, Data Scientist, Project Manager

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Hi, I’m Yago Fiscina Menezes Dias, a data analyst with a knack for turning messy data into clear insights. I specialize in ETL, data pipeline orchestration, and BI solutions using Python, SQL, Airflow, and Power BI. I’ve built automated pipelines that cut processing times dramatically (for example, a contract cancellation workflow reduced run time by over 90%), developed predictive models with strong accuracy, and delivered dashboards that support strategic decisions.…Hi, I’m Yago Fiscina Menezes Dias, a data analyst with a knack for turning messy data into clear insights. I specialize in ETL, data pipeline orchestration, and BI solutions using Python, SQL, Airflow, and Power BI. I’ve built automated pipelines that cut processing times dramatically (for example, a contract cancellation workflow reduced run time by over 90%), developed predictive models with strong accuracy, and delivered dashboards that support strategic decisions.

Available to hire

Hi, I’m Yago Fiscina Menezes Dias, a data analyst with a knack for turning messy data into clear insights. I specialize in ETL, data pipeline orchestration, and BI solutions using Python, SQL, Airflow, and Power BI.

I’ve built automated pipelines that cut processing times dramatically (for example, a contract cancellation workflow reduced run time by over 90%), developed predictive models with strong accuracy, and delivered dashboards that support strategic decisions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

Portuguese

Fluent

English

Advanced

Work Experience

Senior BI Analyst at Cyrela

August 1, 2023 - Present

Developed a dashboard versioning structure to ensure data reliability and governance through controlled updates and internal committee oversight. Refactored the Geoimovel real estate dataset pipeline, reducing processing time from 12+ hours to under 1 hour using incremental updates and database optimization.

Mid-Level BI Analyst at Cyrela

November 1, 2021 - August 1, 2023

Designed and implemented a fully automated Apache Airflow pipeline for daily monitoring of customer contract cancellations, incorporating predictive algorithms to replace a manual monthly process that took 2 days with a 2-hour automated flow. The pipeline extracted CRM data, performed transformations in Python, applied statistical modeling to refine churn insights, stored results in a SQL database, and published outputs to SharePoint and Power BI dashboards for executive committee review.

Data Trainee at Conta Zap

May 1, 2021 - October 1, 2021

Created dashboards to centralize marketing performance metrics using data from Google Ads and Facebook campaigns for deeper data analysis. Enabled the marketing team to monitor ad performance by tracking clicks, costs, ROI, and campaign trends, leveraging statistical modeling for ROI forecasting.

Data Consultant - Manufacturing Sector

January 1, 2021 - Present

Independent project: Built a real-time dashboard with machine learning algorithms to monitor production stages, detect bottlenecks, and improve decision-making in staffing across manufacturing lines. Enabled faster intervention in operational flow through enhanced data analysis, significantly increasing team response time and production efficiency.