Senior Data Engineer - Analytics & Visualization Lead

PwC México; Ciudad de México; On-site; MXN 600,000 - 900,000; Full time

Job summary

PwC Acceleration Center Mexico seeks a Senior Associate Data Engineer to turn large datasets into actionable insights for clients and internal teams. You will build data models, dashboards, and pipelines while collaborating with cross-functional stakeholders.

You will mentor junior analysts and apply advanced analytics, statistics, and ML techniques to forecast outcomes, contributing to strategic decisions and client value creation.

Qualifications

• Bachelor degree required.
• At least 2 years of professional experience.
• Oral and written proficiency in English required.

Responsibilities

• Analyzing complex datasets to extract actionable insights and support data-driven decision-making.
• Developing and implementing data models and algorithms to optimize business operations.
• Utilizing tools such as Alteryx, Power BI, and Tableau for data visualization and dashboard creation.
• Building and maintaining data pipelines to validate data integrity and quality.
• Conducting exploratory data analysis to identify trends and patterns in large datasets.
• Collaborating with stakeholders to understand business needs and translate them into technical requirements.
• Leveraging statistical analysis and predictive modeling techniques to forecast business outcomes.
• Supporting the development of data-driven strategies to enhance client operations and achieve strategic goals.
• Integrating data from various sources to create comprehensive data warehouses and support analytics initiatives.
• Mentoring junior team members in data analysis techniques and methodologies.

Skills

Data analysis

Data visualization

Mentoring

Communication

Education

Bachelor degree

Tools

Alteryx

Power BI

Tableau

MS SQL

Job description

PwC Acceleration Center Mexico seeks a Senior Associate Data Engineer to turn large datasets into actionable insights for clients and internal teams. You will build data models, dashboards, and pipelines while collaborating with cross-functional stakeholders.

You will mentor junior analysts and apply advanced analytics, statistics, and ML techniques to forecast outcomes, contributing to strategic decisions and client value creation.