Data Analyst

Factored; Ciudad de México; Presencial; MXN 366,000 - 550,000; Jornada completa

Descripción de la vacante

A technology company in Mexico City is seeking a talented Data Analyst to collect, analyze, and interpret large datasets. The successful candidate will use SQL, Python, or R to uncover insights that drive strategic decisions. The role requires excellent problem-solving and communication skills, as well as proficiency in data visualization tools like Tableau or Power BI.

Formación

• Proficiency in data analysis tools such as SQL, Python, or R.
• Understanding of statistical concepts and analysis methods.
• Experience with ETL processes, APIs, or web scraping.

Responsabilidades

• Collect and clean data from various sources.
• Perform data analysis to identify trends.
• Develop data models and visualizations.

Conocimientos

Data analysis

SQL

Python

R

Statistical analysis

Data visualization

Problem-solving

Communication skills

Herramientas

Tableau

Power BI

Descripción del empleo

Factored was conceived in Palo Alto, California by Andrew Ng and a team of highly experienced AI researchers, educators, and engineers to help address the significant shortage of qualified AI & Machine-Learning engineers globally. We know that exceptional technical aptitude, intelligence, communication skills, and passion are equally distributed around the world, and we are very committed to testing, vetting, and nurturing the most talented engineers for our program and on behalf of our clients.

We are currently looking for an exceptionally talented Data Analyst to join our team. As a Data Analyst, you will be responsible for collecting, analyzing, and interpreting large sets of data to uncover valuable insights that will drive strategic decisions and improve business performance.

Functional Responsibilities:

• Collect, clean, and transform raw data from various sources into structured datasets for analysis.
• Perform thorough data analysis using statistical techniques and tools to identify patterns, correlations, and trends.
• Develop and implement data models, algorithms, and visualizations to present findings in a clear and concise manner.
• Monitor and track key performance indicators (KPIs) to assess the effectiveness of strategies and initiatives.
• Identify opportunities for process improvements and develop data-driven solutions.
• Collaborate with cross-functional teams to understand business requirements and provide data-driven insights and recommendations.

Qualifications:

• Strong proficiency in data analysis tools and programming languages such as SQL, Python, or R.
• Solid understanding of statistical concepts and experience applying statistical analysis methods.
• Experience consuming datasets from APIs, ETL, databases, or web scraping processes.
• Familiarity with data modeling, data warehousing, and database management systems.
• Proficient in data visualization techniques using tools like Tableau, Power BI, or similar platforms.
• Excellent problem-solving skills with the ability to think critically and translate complex data into actionable insights.
• Excellent verbal and written communication skills in English.