Data Analyst

Transmex Inc sa de cv; Claussville (PA); On-site; USD 65,000 - 95,000; Full time

Job summary

Transmex Inc sa de cv is seeking a Data Analyst to transform business data into actionable insights, reports, and analytical tools that support decision-making across Finance, Operations, HR, and other functions. You will build dashboards and analyses using multiple data sources and collaborate with stakeholders to define KPIs and deliver scalable reporting solutions.

The ideal candidate has strong analytical and technical skills, with the ability to communicate with both technical and

Qualifications

• 1–5 years of experience in Data Analytics, BI, Reporting, or similar roles.

Responsibilities

• Transform business data into actionable insights and dashboards.

Skills

SQL

Tableau

Power BI

Python

Excel

Data formats (CSV/JSON/XML)

AI / Generative AI familiarity

Education

Bachelor's degree

Tools

Microsoft SQL Server

PostgreSQL

DB2

Snowflake

Job description

Data Analyst

About the Role

We are seeking a Data Analyst to transform business data into actionable insights, reporting solutions, and analytical tools that support decision-making across multiple areas of the organization, including Finance, Operations, Human Resources, Maintenance, and other corporate and operational functions.

This role will be responsible for developing reports, dashboards, datasets, and analytical solutions using information from multiple business systems and data sources. The Data Analyst will work closely with stakeholders to understand business requirements, define key performance indicators, identify trends, and deliver reliable and scalable reporting solutions.

The ideal candidate combines strong analytical and technical capabilities with business understanding and the ability to communicate effectively with both technical and non-technical teams.

Education

Bachelor’s degree in Data Analytics, Data Science, Computer Science, Information Technologies, Computer Systems, Industrial Engineering, Finance, Statistics, Mathematics, or a related field.

Requirements

• 1–5 years of experience in Data Analytics, Business Intelligence, Reporting, Data Engineering, Operations Analytics, Financial Analytics, or a similar role.
• Strong proficiency in SQL and experience working with relational databases such as Microsoft SQL Server, PostgreSQL, DB2, Snowflake, or similar platforms.
• Experience developing dashboards and analytical reports using Tableau, Power BI, Excel, or comparable BI and visualization tools.
• Experience working with large datasets and multiple data sources.
• Working knowledge of Python for data analysis, automation, or scripting (pandas, polars, numpy or similar data-processing libraries).
• Experience working with structured and semi-structured data formats such as Excel, CSV, JSON, XML, logs, and API responses is desirable.
• Familiarity with Artificial Intelligence, Machine Learning, Generative AI, or AI-enabled business tools is desirable. The candidate is not expected to be an AI specialist but should be comfortable learning, testing, and working with these technologies.