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 idóneo 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.

📌 Data Analyst Reporting & Visualization 1861 (Mexicali)
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