Data Analytics Specialist — BI Dashboards & Pipelines

Quantum Technologies. LLC; Trenton (NJ); Presencial; USD 90.000 - 130.000; Jornada completa

Descripción de la vacante

Quantum Technologies. LLC in New Jersey seeks a data-focused professional to gather requirements, cleanse data with Python/SQL, and design scalable data pipelines and BI dashboards. You will work across analytics, engineering, and product teams to translate business needs into robust data architectures and automated reporting.

Responsibilities include modeling data, validating pipelines, and documenting processes to ensure reliable insights for management and clients.

Formación

• Experience gathering requirements and translating into technical specs.
• Proficiency with Python and SQL for data cleansing.
• Ability to design data pipelines, ETL workflows, and data models.
• Experience building dashboards and BI reports for stakeholders.

Responsabilidades

• Engage with stakeholders to identify data and reporting needs and translate them into technical specs.
• Develop and implement data cleansing and preprocessing procedures using Python and SQL.
• Analyze data workflows and dashboards to identify performance gaps and propose enhancements.
• Design and configure data pipelines including ingestion, ETL, storage, and BI tool integration.
• Create logical/physical data models and ERDs to support analytics.
• Build, deploy, and maintain interactive dashboards and reports for management and clients.
• Validate data quality, run end-to-end tests, and monitor pipelines.
• Prepare thorough technical documentation for data processes and architectures.
• Collaborate with data engineers, software developers, and analysts to scale data solutions.

Conocimientos

Python

SQL

Data analysis

ETL

Data visualization

Descripción del empleo

Quantum Technologies. LLC in New Jersey seeks a data-focused professional to gather requirements, cleanse data with Python/SQL, and design scalable data pipelines and BI dashboards. You will work across analytics, engineering, and product teams to translate business needs into robust data architectures and automated reporting.

Responsibilities include modeling data, validating pipelines, and documenting processes to ensure reliable insights for management and clients.