Data Analytics Trainee: Insights & Modeling

Banamex; Xico; On-site; MXN 250,000 - 350,000; Full time

Job summary

Citi is seeking a Spec Analytics Analyst trainee in Veracruz, Mexico. The role involves handling large data sets, applying analytical methods, and supporting business strategy implementations.

You will document data requirements, perform data processing and exploratory analysis, and may work as a Data Scientist with potential focus areas in marketing, risk, digital and AML. The position requires a bachelor’s degree or equivalent, and strong data-related skills, with emphasis on Python, SQL, and

Qualifications

• Previous related experience preferred.
• Ability to retrieve and manipulate data.
• Working experience in a quantitative field.
• Possess analytic ability and problem solving skills.
• Excellent communication and interpersonal skills, be organized, detail oriented, and adaptive to matrix work environment.

Responsibilities

• Work with large and complex data sets to evaluate, recommend, and support implementing business strategies.
• Identify and compile data sets using tools (e.g. SQL, Access) to help predict, improve, and measure the success of key B2B outcomes.
• Document data requirements, collection/processing/cleaning, and exploratory data analysis; may include statistics models/algorithms and data visualization techniques.
• Role often referred to as Data Scientist.
• Specialization in marketing, risk, digital and AML fields possible.
• Assess risk in business decisions, ensuring compliance with laws and Citi's policies and protecting clients and assets.

Skills

Analytical thinking

Problem solving

Data manipulation

Communication skills

Teamwork in matrix environments

Education

Bachelor’s degree or equivalent experience

Tools

Python

SQL

Apache Spark

Job description

Citi is seeking a Spec Analytics Analyst trainee in Veracruz, Mexico. The role involves handling large data sets, applying analytical methods, and supporting business strategy implementations.

You will document data requirements, perform data processing and exploratory analysis, and may work as a Data Scientist with potential focus areas in marketing, risk, digital and AML. The position requires a bachelor’s degree or equivalent, and strong data-related skills, with emphasis on Python, SQL, and