Silvia Verónica Noriega
Data AnalystAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with 1+ years in SQL & Data Visualization
I'm a motivated Associate Data Engineer with 1+ year of experience in SQL supporting a US-based transportation company in financial reporting, bookkeeping, and executive assistance. I'm detail-oriented, curious, and good at spotting numerical patterns with an analytical mindset. I've been exposed to tools like Excel, Sheets, SQL, BigQuery, Power BI, and Looker, to name a few. I've gained hands-on experience on cleaning data and performing transformations, like joins, pivot tables, among others, to turn raw data into insights and develop reports. I'm a lifelong learner and eager to keep growing. I welcome feedback and I communicate my doubts openly. I'm reliable, accountable and strive for accuracy when delivering reports so the company can make informed decisions to operate successfully. I'm good at English written and verbal communication, and I follow instructions with critical thinking.
Universidad Nacional Abierta y a Distancia
Finance and International businesses
January 1, 2025 – Present
Instituto Universitario “Antonio José de Sucre”
Architectural Designer
January 1, 1999 – October 1, 2002
Wirks Moving & Storage
Data Analyst, Bookkeeper, Executive assistant.
February 1, 2025 – Present
GA, USA
Associate Data Engineer in SQL
DataCamp
April 1, 2026 – Present
Data Visualization with Seaborn
Datacamp
January 1, 2024 – Present
Data Analytics Bootcamp
Le Wagon
January 1, 2024 – Present
Databricks Lakehouse Fundamentals
Databricks academy
October 1, 2023 – Present
Data Engineering fundamentals with MS Azure
SmartData
August 1, 2023 – Present
Joining Data with Pandas
Datacamp
March 1, 2023 – Present
Cultural Fit Analysis
The candidate's diverse background, including an architectural design degree and current enrollment in finance, suggests adaptability and a broad perspective. Their proactive pursuit of multiple data-related certifications (DataCamp, Le Wagon, Databricks, SmartData) indicates a strong growth mindset and eagerness to learn, which aligns well with a dynamic, learning-oriented culture. The combination of data analysis with bookkeeping and executive assistance roles shows versatility, but also a potential lack of deep specialization in pure data analysis roles.
Soft Skills & Operational Fit
The candidate demonstrates strong organizational skills through managing executive calendars and communications, and a detail-oriented approach in financial reporting and data analysis. Their self-description highlights reliability, accountability, and good communication, which are valuable for operational fit. The ability to work remotely is also a plus.