Hybrid Analytics Engineering Lead: Data Platform & Strategy

Clarios, LLC; San Pedro; Híbrido; MXN 900.000 - 1.300.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

Global collaboration

Descripción de la vacante

Clarios, LLC is seeking an Analytics Engineering Lead to translate global analytics strategy into scalable and secure analytics solutions. You will lead technical design, development, and delivery of analytics products, dashboards, data models, and reporting capabilities across the organization.

You will partner with data scientists, architects, and delivery teams to drive measurable business value. The role requires strong leadership, governance adherence, and a passion for data-driven decision

Formación

• Minimum 5 years building BI analytics solutions.
• Strong SQL, data modeling, and data quality practices.
• Experience with Power BI, SSAS or similar BI tools.
• Experience in Agile delivery with onshore/offshore teams.
• Excellent communication with business stakeholders.

Responsabilidades

• Lead design, development, and delivery of analytics products and dashboards.
• Translate business needs into scalable analytics solutions.
• Ensure data governance and security across platforms.
• Collaborate with data scientists, architects, and infra teams.
• Drive delivery backlog, roadmap, and project status to stakeholders.

Conocimientos

BI analytics

SQL

Power BI

Agile delivery

Stakeholder mgmt

Educación

Bachelor's degree in CS/IS/Math/Stats

Herramientas

Azure

Snowflake

ETL/ELT

Descripción del empleo

Clarios, LLC is seeking an Analytics Engineering Lead to translate global analytics strategy into scalable and secure analytics solutions. You will lead technical design, development, and delivery of analytics products, dashboards, data models, and reporting capabilities across the organization.

You will partner with data scientists, architects, and delivery teams to drive measurable business value. The role requires strong leadership, governance adherence, and a passion for data-driven decision