Job Description

Ciudad de México

Nivel de estudios

Bachelor’s Degree in Computer Science, Computer Engineering, Data Analytics, Information Systems or equivalent. Advanced degree preferred.

Experiencia Requerida

5+ years delivering enterprise-level Business Intelligence solutions.

Habilidades

Soft Skills

• Team Player: Excellent communication and interpersonal skills, working effectively as part of a team and collaborating with stakeholders across different locations. Ability to tell a story with data.
• Adaptability: Thrive in a dynamic, fast-paced work environment and adapt quickly to changing business needs.
• Attention to Detail: Meticulous attention to detail, ensuring data accuracy and maintaining high-quality standards in all deliverables.

Technical Skills

• A minimum of 5 years of professional hands-on experience developing Enterprise BI solutions.
• SQL Proficiency: Demonstrate strong SQL skills, including the ability to write complex queries
• Business Intelligence Tools: Experience with business intelligence tools like Power BI, Tableau, or QuickSight platforms.
• Experience with clould deployment preferred.
• Data Visualization: Familiarity with data visualization best practices and the ability to present data in a visually compelling and insightful manner.
• Analytical Thinking: Strong analytical and problem-solving skills, with the ability to transform data into actionable insights
• Understanding of cloud BI infrastructure/tools a plus.
• Experience in a manufacturing or industrial environment preferred.

Resumen

You will prepare and implement Business Intelligence products to support all areas of Digital Manufacturing. In this roll you will gather, contextualize, analyze and visualize data to identify trends and patterns that will enable business teams to make data-driven decisions. You will be responsible for the entire project life cycle from conception through commissioning of projects that support business initiatives such as Overall Equipment Effectiveness (OEE), Key Performance Indicators (KPI), self-service Business Intelligence (BI) projects and ad-hoc analytics.

Responsabilidades

1. Business Intelligence Solutions: Design, develop, and maintain self-service business intelligence solutions, dashboards, and reports that provide valuable insights to stakeholders across different departments, enabling data-driven decisionmaking.
2. Data Extraction and Analysis: Collaborate with cross-functional teams to understand business requirements and develop data queries using SQL and/or BI tools to extract and analyze information from our various data sources, including data bases and other data repositories.
3. Data Visualization: Present data and findings in a clear, visual manner using data visualization tools, allowing stakeholders to quickly grasp key insights and trends.
4. Data Integrity and Quality Assurance: Ensure data accuracy and reliability by conducting regular data integrity checks and implementing quality assurance measures throughout the data lifecycle.
5. Utilize scripting, queries and BI tools to produce reports, data files, and dashboards summarizing operational and performance data for review by executives, managers or other stakeholders.
6. Identify, analyze, and interpret trends or patterns in complex data sets.

Location

Ciudad de Mexico, Mexico

Additional Locations

Job Type

Full time

Job Area

Operations and Production

Equal Opportunity

Constellation Brands is committed to a continuing program of equal employment opportunity. All persons have equal employment opportunities with Constellation Brands, regardless of their sex, race, color, age, religion, creed, sexual orientation, national origin or citizenship, ancestry, physical or mental disability, medical condition (cancer or genetic characteristics), marital status, gender (including gender identity or gender expression), familial status, military or veteran status, genetic information, pregnancy, childbirth, breastfeeding, or related conditions (or any other group or category within the framework of the applicable discrimination laws and regulations).