AI Data Analyst — Junior

Flintworks; Venezuela; A distancia; VES 10.499.000 - 15.748.000; Jornada completa

Descripción de la vacante

Flintworks is seeking a junior AI Data Analyst to join its growing analytics practice. You will collect, clean, and analyze data, build interactive dashboards, and help drive data-driven decisions using AI-assisted tools.

You will work with cross-functional teams, engage in ETL and data visualization, and contribute to predictive analytics while developing your skills in cloud platforms and modern BI tools.

Formación

• Bachelor's degree in Statistics, Computer Science, Mathematics, Economics, Engineering, Business Analytics, or related field.
• 0–2 years of experience (bootcamps, portfolio projects, academic work count).
• Experience with AI-powered data tools and analytics practices.

Responsabilidades

• Analyze large datasets to identify patterns, trends, and insights that drive business decisions.
• Develop and maintain interactive dashboards and reports to visualize KPIs.
• Perform data cleansing, transformation, and validation to ensure data accuracy and integrity.
• Use AI-powered tools to accelerate data exploration, anomaly detection, and insight generation.
• Collaborate with cross-functional teams to understand business requirements and translate them into data solutions.
• Support data warehousing and ETL pipeline processes.
• Create compelling data visualizations and storytelling presentations for stakeholders.
• Prepare analytical and trend reports with clear recommendations.
• Contribute to predictive analytics initiatives using statistical methods.
• Document data processes, models, and findings.

Conocimientos

SQL proficiency

Python for data analysis

Data visualization tools

Advanced Excel

Databases basics

ETL concepts

Descriptive statistics

Cloud fundamentals

Git version control

Jupyter Notebooks

Educación

Bachelor's degree in Statistics, Computer Science, Mathematics, Economics, Engineering, Business Analytics

0–2 years of experience

Herramientas

Power BI

Tableau

Looker

PostgreSQL

MySQL

SQL Server

AWS S3/Redshift

Azure Synapse

GCP BigQuery

Descripción del empleo

About this Role

As an AI Data Analyst — Junior, you will join our data analytics practice to help clients make data‑driven decisions. You will collect, clean, analyze, and visualize data using modern tools enhanced by AI capabilities, turning complex datasets into clear, actionable insights.

This is a Talent Pool position — we are building a pipeline of junior data talent with AI skills to support our growing analytics practice.

Responsibilities

• Analyze large datasets to identify patterns, trends, and insights that drive business decisions
• Develop and maintain interactive dashboards and reports to visualize KPIs
• Perform data cleansing, transformation, and validation to ensure data accuracy and integrity
• Use AI‑powered tools to accelerate data exploration, anomaly detection, and insight generation
• Collaborate with cross‑functional teams to understand business requirements and translate them into data solutions
• Support data warehousing and ETL pipeline processes
• Create compelling data visualizations and storytelling presentations for stakeholders
• Prepare analytical and trend reports with clear recommendations
• Contribute to predictive analytics initiatives using statistical methods
• Document data processes, models, and findings

AI & Cloud Certifications (Required)

• Claude Certified Architect — Foundations

Data Analytics Certifications (Preferred)

• Google Data Analytics Professional Certificate
• Microsoft Certified: Power BI Data Analyst Associate
• AWS Certified Data Analytics

Technical Skills

• SQL proficiency (queries, joins, aggregations, subqueries)
• Python for data analysis (Pandas, NumPy, Matplotlib/Seaborn)
• Data visualization tools (Power BI, Tableau, or Looker)
• Advanced Excel (pivot tables, VLOOKUP, conditional formatting, macros)
• Basic understanding of databases (PostgreSQL, MySQL, or SQL Server)
• Familiarity with ETL concepts and data pipeline basics
• Descriptive statistics, probability, and basic regression analysis
• Cloud platform fundamentals (AWS S3/Redshift, Azure Synapse, or GCP BigQuery)
• Version control with Git
• Jupyter Notebooks for exploratory data analysis

Soft Skills

• English proficiency B2 minimum (written and verbal)
• Strong analytical and critical thinking
• Data storytelling and presentation skills
• Attention to detail and data accuracy
• Collaborative mindset and teamwork

Education

• Bachelor's degree in Statistics, Computer Science, Mathematics, Economics, Engineering, Business Analytics, or related field
• 0–2 years of experience (bootcamps, portfolio projects, academic work count)
• Work with cutting‑edge AI technology as part of the Anthropic Claude Partner Network
• Continuous learning environment with access to the latest data science and AI research
• Culture of innovation — your ideas shape real analytics solutions
• Competitive compensation package
• Certification sponsorship (Google, Microsoft, AWS, Tableau)