Jhonathan Wesley Faria Dias Alves
$20/hr
Data Analytics & Data Science | Machine Learning | Gen AI | Dashboards
Jhonathan Wesley Faria Dias Alves
Data Analyst | SQL · Python · Power BI · ETL · Data Engineering
GO, Brazil | C1 English (EFSET Certified)
SUMMARY
Data Analyst with 3+ years of experience transforming large-scale, complex datasets into actionable business
intelligence. Proven track record building end-to-end ETL pipelines, developing 30+ dashboards across
e-commerce, retail, and telecom, and delivering data solutions adopted by 50+ stakeholders. Proficient in
SQL, Python, Power BI, and Google BigQuery, with hands-on expertise in data quality, pipeline orchestration
with Apache Airflow, and dimensional modeling (Star and Snowflake schemas). Currently completing a B.S. in
Data Science.
PROFESSIONAL EXPERIENCE
Data Analyst — Accenture Brazil, Remote
April 2025 – Present
• Automated manual reporting routines saving 30+ hours/month and eliminating human error risk (Python,
Pandas).
• Evolved and maintained ETL pipelines processing 1M+ rows daily for churn analytics of a major telecom
client (MSSQL, SAS, Pentaho).
• Designed and delivered daily dashboards and business reports distributed to 50+ stakeholders, halving
report delivery time through Power BI and SharePoint integrations.
• Performed ongoing data quality validation and root cause analysis to ensure accuracy and consistency
of churn metrics.
• Maintained continuous stakeholder communication to align deliverables with evolving business rules and
KPI definitions.
Data Analyst — TXC, Goiânia, GO
August 2024 – April 2025
• Led end-to-end delivery of an e-commerce analytics solution: gathered requirements, mapped business
rules, designed ingestion pipelines and ETL orchestration (Python, Apache Airflow, BigQuery, REST
APIs), modeled queries, and built dashboards in Power BI — immediately adopted by the e-commerce
team to track sales performance, stock levels, inconsistencies, and inform marketing campaigns.
• Reduced total analysis time for sales teams by 100+ hours/week by implementing automated data
integration pipelines across multiple sources (SQL, DAX, Power Query, Git, Pandas, Postman).
• Developed 35+ operational and managerial dashboards for e-commerce, franchise, and sales
representation teams (Power BI, Looker Studio).
• Implemented dimensional modeling (Star and Snowflake schemas) and optimized complex SQL queries
in Google BigQuery, improving dashboard performance and enabling self-serve analytics across the
organization.
• Delivered a broad data architecture overview enabling autonomous design and agile implementation of
new data integrations across the business.
EDUCATION
Bachelor's Degree in Data Science (in progress, expected 2027)
UNESA — Goiânia, GO
Feb 2025 – Present
Continuing Education in AI Engineering
Scoras Academy
Aug 2025 – Present
SKILLS & COMPETENCIES
Analytics & BI: Power BI (Desktop, Service, DAX, Power Query), Looker Studio, data visualization, KPI
dashboards, ad hoc analysis
Data Engineering: ETL/ELT pipelines, Apache Airflow, data warehouse (BigQuery), data modeling (Star,
Snowflake, ER), OLTP/OLAP, Data Lake
SQL & Databases: Google BigQuery, SQL Server, PostgreSQL, MySQL, MariaDB, SQLite, Oracle —
complex queries, optimization, data validation
Python: Pandas, Matplotlib, automation, API integration, web scraping, FastAPI, Django, LangGraph, RAG,
MCP, AI agents
Data Quality: Data validation, data normalization, root cause analysis, data governance, pipeline monitoring,
inconsistency resolution
Tools & Platforms: Git & GitHub, Docker, Linux, Bash, VS Code, Postman, Figma, SAS, Pentaho,
SharePoint
Soft Skills: Stakeholder management, cross-functional collaboration, technical documentation, business
rules mapping
CERTIFICATIONS
C1 English Proficiency — EFSET
Credential: https://cert.efset.org/utAkPU
July 2024
