Survey Data Analyst II: Automation & Insights (Python & SQL)

The Nielsen Company; Ciudad de México; Presencial; MXN 270.000 - 450.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

IMSS Mexican Social Security

Life Insurance

Major Medical Expense Insurance

31-50 days year-end bonus

9% Food Stamps

13% Savings Fund

Christmas bonus

Vacation days

Descripción de la vacante

The Nielsen Company in Mexico City is seeking a data analytics professional with a focus on survey sampling and automation. The role involves supporting sampling, estimating needs, selecting records, and maintaining sampling applications in Python.

You will also extract data via SQL and build visualizations using Tableau and other BI tools. You should have 1-2 years in research/data analytics, knowledge of sampling methodologies, and strong Python/R skills.

Formación

• 1-2 years of relevant research and data analytics experience

Responsabilidades

• Support and enhance existing sampling processes.
• Estimate sample needs by reviewing performance metrics.
• Select sample records based on specifications.
• Complete recurring operational tasks.
• Monitor data collection to ensure study is progressing as planned and meeting timelines, and that quota groups are being met.
• Develop, test, and maintain sampling applications in Python.
• Extract data from platforms using SQL.
• Utilizes tools such as Python, Tableau, SAS, etc. to perform complex data analysis, develop tools for automating procedures, and create visualizations to deliver insights into survey performance.

Conocimientos

English Spanish communication

Time management

Analytical thinking

Python (Pandas)

R

Herramientas

Python

R

SQL

PySpark

Tableau

SAS

MS Office

Descripción del empleo

The Nielsen Company in Mexico City is seeking a data analytics professional with a focus on survey sampling and automation. The role involves supporting sampling, estimating needs, selecting records, and maintaining sampling applications in Python.

You will also extract data via SQL and build visualizations using Tableau and other BI tools. You should have 1-2 years in research/data analytics, knowledge of sampling methodologies, and strong Python/R skills.