Data Analyst - CDMX, Mexico

2 Months ago • Upto 2 Years • Data Analyst • Undisclosed

About the job

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Job Description

This Data Analyst role in Mexico City involves integrating, summarizing, validating, and disseminating data from various sources (flat files, spreadsheets, databases) to provide data-driven recommendations to clients. Responsibilities include utilizing data blending tools, identifying data anomalies, adhering to best practices, and meeting project deadlines. The ideal candidate will have a Bachelor's degree in a related field with strong statistics, econometrics, and mathematics skills. Advanced Excel skills and advanced English proficiency are essential.

Must have:

Integrate data from disparate systems
Generate summary reports
Identify data anomalies
Bachelor's degree in related field
Advanced Excel skills
Advanced English proficiency

Are you passionate about data? Are you driven by curiosity and enjoy solving problems? Are you known for your impeccable organization? Are you committed to providing high-quality results to your clients? As a Data Analyst, you will play a key role in delivering first-class assessments and data-driven measurement options to support client decision-making in a reliable and efficient manner.

Responsibilities

Integrate, assemble, summarize, validate, and disseminate data from numerous disparate systems (flat files, spreadsheets, relational databases, etc.) to present recommendations to clients.
Utilize data blending tools to generate summary reports from multiple data sources.
Identify anomalies within data; comply with all best practices, interaction rules, and data protocols.
Meet project deadlines and contracts.

Requirements

Advanced students or recent graduates with a Bachelor's degree in Economics, Actuarial Science, Mathematics, Industrial Engineering, or other related fields with high levels of Statistics, Econometrics, and Mathematics in their curricula.
0-2 years of experience with database management.
Advanced Excel skills.
Advanced English language proficiency.
Passion for data.

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