Data Analyst Reporting & Visualization

Puesto: Data Analyst  Reporting & Visualization 1861
We are looking for a  Data Analyst – Reporting & Visualization  to transform complex datasets into  clear, actionable dashboards and reports  that support strategic and operational business decisions.

Reporting directly to the  Data Architect , this role will work across the organization’s  Microsoft Azure-based data ecosystem , partnering with business and technical stakeholders to deliver reporting solutions that are both technically robust and visually compelling.

This position is ideal for someone who cares equally about  data quality, accuracy, and consistency  and the usability and impact of the dashboards they create.

Key Responsibilities
Design, build, and maintain  Power BI dashboards and reports  across multiple business areas.

Develop and maintain  Python scripts  for data extraction, transformation, and automation.

Partner with the Data Architect to build and enhance  data pipelines and integration workflows using Azure Data Factory .

Query and manage data within  Azure SQL Database , ensuring accuracy, reliability, and performance.

Apply  data warehouse and dimensional modeling principles , including Star Schema and Snowflake Schema.

Translate business requirements into reporting specifications and deliver solutions  end-to-end .

Document data sources, transformations, business rules, and report logic to ensure maintainability and knowledge sharing.

Identify  data quality issues  and collaborate with upstream teams to resolve them.

Follow organizational policies, procedures, and applicable  data governance requirements .

Perform other related duties as assigned.

Requisitos    3+ years of experience  in a Data Analyst, Business Intelligence, or similar role.

Strong proficiency in  Power BI , including:
DAX

Data modeling

Dashboard and report development

Report publishing

Solid  Python  skills, particularly for data wrangling and transformation using  Pandas, Num Py , or similar libraries.

Hands-on experience with  Azure Data Factory , including building and monitoring data pipelines.

Working knowledge of  Azure SQL Database , including:
SQL queries

Query optimization

Schema design

Data access patterns

Strong understanding of  Data Warehousing and Dimensional Modeling  concepts.

Ability to communicate technical findings clearly to  non-technical stakeholders .

Strong attention to detail with a focus on clean, accurate, and well-documented work.

Preferred Qualifications

Experience with  Azure Synapse Analytics  or  Databricks .

Familiarity with  Git  and version control practices.

Exposure to  Medallion Architecture (Bronze / Silver / Gold)  or similar layered data architectures.