Hybrid BI & Data Analyst – Manufacturing

aspenview; Argentina; Híbrido; ARS 1.800.000 - 3.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive base

Benefits package

Flexible work model

Growth opportunities

Diversity & inclusion

Descripción de la vacante

AspenView Technology Partners is seeking a Business Analyst to drive data modernization for a vertically integrated manufacturing environment. You will translate business needs into actionable insights using Power BI, Dynamics 365/AX, and Azure data services.

You will collaborate with Manufacturing, Finance, Sales, and Operations, document KPIs, ensure secure and timely dashboards, and guide data governance and process mapping to enable analytics-led decisions.

Formación

• 3–5 years in Business Analysis or Data Analysis roles.
• Experience writing functional requirements and BI documentation in Agile environments.
• Knowledge of ERP/ manufacturing data (Dynamics 365/AX) and data governance.
• Ability to facilitate workshops and present findings to executives.

Responsabilidades

• Engage with stakeholders across Manufacturing, Finance, Sales, and Operations to define reporting needs.
• Deliver analytics by designing Power BI datasets and dashboards aligned to objectives.
• Map data flows, govern data quality, and work with Data Engineers on analytics-ready data.
• Identify opportunities for automation and self-service analytics to improve processes.

Conocimientos

Business Analysis

Data Analysis

Stakeholder Engagement

Workshops Facilitation

Agile Methodologies

Herramientas

Power BI

SQL

Dynamics 365 / AX

Azure DevOps

Microsoft Fabric

Descripción del empleo

AspenView Technology Partners is seeking a Business Analyst to drive data modernization for a vertically integrated manufacturing environment. You will translate business needs into actionable insights using Power BI, Dynamics 365/AX, and Azure data services.

You will collaborate with Manufacturing, Finance, Sales, and Operations, document KPIs, ensure secure and timely dashboards, and guide data governance and process mapping to enable analytics-led decisions.