7 publicaciones de empleo destacadas de analytics engineer it en querétaro, que (¡Están contratando!)

Analytics Engineer IT
Dana Incorporated —Querétaro, Qro.
- Oracle
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- DevOps
Performance & Analytics Trainee
Siemens Energy —Querétaro, Qro.
- Tiempo completo
- Microsoft Powerpoint
- Microsoft Excel
- Análisis de datos
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HSS Analysis & Reporting Specialist MQT
Autoliv Mexico —Querétaro, Qro.
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HSS Analysis & Reporting Specialist MQT
Autoliv Inc. —Querétaro, Qro.
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Full stack Engineer
ADI Global Distribution —Querétaro, Qro.
- Tiempo completo
- Azure
- Inglés
- SQL
HSS Engineer (ergonomics engineer) AST
Autoliv Mexico —Querétaro, Qro.
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- Habilidades de comunicación
12d
Scheduler - Industrial and Data Center Projects
Turner & Townsend —Querétaro, Qro.
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Performance & Analytics Trainee
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Analysis of the performance parameters of test beds. Under the supervision of the AGT team, you will analyze performance parameters of test beds to detect any…
14d

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Analytics Engineer IT

Dana Incorporated -
Querétaro, Qro.

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Información del empleo

Cualificaciones

Hyperion
Power BI
Modelado de datos
SAP SuccessFactors
Oracle
SAP HANA
Salesforce
DevOps
Oracle EBS
Git
SQL
SAP ERP
Python

Descripción completa del empleo

Analytics Engineer IT

Queretaro, Querétaro, MX, 76120

Tlalnepantla, Mexico State, MX, 54180

Escobedo, NLE, MX, 66052

Requisition: 64617

Job Purpose

Job Description Content for Job Profiles is a work in progress. If you need content to finalize this requisition for posting, please send a message to [email protected].

We are seeking a highly skilled and motivated Analytics Engineer to join our growing data team. In this role, you will be responsible for designing, building, and maintaining robust data models and solutions using Microsoft Fabric, sql /dbt(data build tool), and Power BI. You will play a critical role in transforming raw data into clean, reliable, and analytics-ready datasets that empower business users and data scientists across the organization.

#OCCDANAMEXICO

#COMM

Job Duties and Responsibilities

Design and implement scalable data models and transformations using dbt within the Microsoft Fabric ecosystem.
Collaborate with business stakeholders to understand data needs and deliver high-quality datasets.
Ensure data quality, consistency, and governance through testing, documentation, and version control.
Optimize performance of data transformations and queries across large datasets.
Monitor and troubleshoot data workflows and proactively resolve issues.
Contribute to the development of best practices and standards for data modeling, transformation, and source control.

Education and Qualifications

+5 years of experience in data engineering, analytics engineering, or a related field.
Proficiency with SQL, ideally in dbt (Core or Cloud) for data transformation and modeling.
Hands-on experience with Microsoft Fabric, including OneLake, Lakehouse, Warehouse, and Power BI artifacts.
Strong SQL skills and experience working with large-scale data warehouses or lakehouses.
Familiarity with Git-based version control and CI/CD practices.
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration skills.
Experience with Power BI semantic models and DAX.

Skills and Competencies

Experience with data models for SAP ECC, Oracle EBS, and/or QAD strongly preferred.
Experience with data models for Salesforce, GetPaid, iNexus, Concur, SAP S4/HANA, SAP SuccessFactors, Hyperion Financial Management, Hyperion Planning (PBCS), Siemens Teamcenter.
Knowledge of data governance, lineage, and observability tools.
Familiarity with Python or other scripting languages.
Experience working in Agile or DevOps environments.

Join our team of 28,000 problem solvers who are fostering a culture of innovation by leveraging the diverse perspectives of our global team. We believe in facing challenges head-on by finding opportunity and uncovering possibility, where roadblocks and barriers become targets instead of obstacles. We are One Dana with limitless opportunity.

Our Values

Value Others
Inspire Innovation
Grow Responsibly
Win Together

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