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Data Analyst

LA Technologies

Publicado el viernes, 28 de noviembre de 2025

Fuente del empleo

Descripción del puesto:


                Data Analyst — Role Description
The Data Analyst plays a critical role in transforming raw information into meaningful insights that support strategic planning, operational efficiency, and informed decision-making. This position focuses on gathering, analyzing, and interpreting datasets to uncover trends, evaluate performance, and provide clear, data-driven recommendations. The Data Analyst collaborates with cross-functional teams to define analytical needs, improve data quality, and support the development of tools, dashboards, and reporting frameworks that enhance organizational transparency.
Core responsibilities include collecting and organizing data from multiple sources, ensuring accuracy, consistency, and completeness in all datasets. The analyst performs exploratory data analysis, identifies patterns, and applies quantitative techniques to understand business challenges and opportunities. They develop reports, visualizations, and dashboards that simplify complex information and enable stakeholders to make well-informed decisions.
The role involves maintaining and updating databases, working with analytical tools, and contributing to data governance practices. The Data Analyst is responsible for performing quality checks, resolving discrepancies, and improving data workflows to support clean and reliable data environments. They also support performance monitoring by tracking metrics, analyzing variances, and highlighting factors that influence outcomes.
Collaboration is central to this role. The Data Analyst works closely with business units, technical teams, and leadership to clarify requirements, design analytical approaches, and communicate insights. They assist in developing models, supporting forecasting efforts, and conducting research to evaluate the business impact of operational or strategic initiatives.
Success in this position requires strong analytical thinking, attention to detail, and the ability to translate complex findings into clear, actionable insights. The analyst must be organized, resourceful, and capable of managing multiple projects in a dynamic environment. Curiosity, problem-solving skills, and a commitment to accuracy are essential as they explore data to identify opportunities for improvement and support evidence-based decisions.
By delivering thoughtful analysis, effective reporting, and reliable data management, the Data Analyst plays a key role in driving organizational performance and supporting continuous improvement efforts.
Qualifications
- Strong analytical and quantitative skills with the ability to interpret complex datasets.
- Proficiency with data analysis tools, spreadsheet software, and visualization platforms.
- Ability to create clear dashboards, reports, and visualizations that communicate insights effectively.
- High attention to detail and strong commitment to data accuracy and consistency.
- Strong problem-solving abilities and the capability to identify trends, anomalies, and improvement opportunities.
- Ability to manage and organize large datasets and maintain structured workflows.
- Good communication skills for translating technical findings into understandable business insights.
- Understanding of data governance practices, data structures, and analytical processes.
- Ability to collaborate with cross-functional teams and support diverse analytical needs.
- Adaptability, reliability, and a proactive approach to supporting data-driven initiatives.
              

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