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Sobre esta vaga de Acceleration Center - Data Engineer - Manager na PwC

PwC · Presencial · Mexico City

Industry/Sector

Not Applicable

Specialism

Domestic Tax Compliance

Management Level

Manager

Job Description & Summary

The Opportunity

Join our Acceleration Center Mexico and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference—every day.

As an Acceleration Center - Data Engineer - Manager, you will focus on utilizing advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. Within our Tax practice, you will leverage skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems. As a Manager, you will enhance your leadership style, motivating and developing your team to deliver quality results. You will be responsible for coaching, leveraging team members' unique strengths, and managing performance to meet client expectations. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way.

In this role at PwC Acceleration Center Mexico, you will take ownership of projects, confirming their successful planning, budgeting, execution, and completion. You will work with team leadership to validate collective ownership of quality, timelines, and deliverables. By embracing technology and innovation, you will enhance your delivery and encourage others to do the same. This position offers the opportunity to develop skills outside your comfort zone and effectively mentor others, contributing to the success of our firm.

Responsibilities

- Leading data analysis workstreams to drive insights and support strategic decision-making
- Utilizing advanced analytics techniques to extract meaningful insights from complex datasets
- Developing and implementing data-driven solutions to optimize client operations
- Managing and mentoring teams to leverage their strengths and deliver quality outcomes
- Building and maintaining data pipelines and integration processes to validate data integrity
- Creating and deploying data visualization tools using platforms like Tableau and Power BI
- Conducting exploratory data analysis to identify trends and opportunities for improvement
- Applying statistical modeling and predictive analytics to solve complex business problems
- Collaborating with stakeholders to address data challenges and enhance business performance
- Promoting innovation and embracing technology to improve data analysis capabilities

What You Must Have

- At least a High School Diploma or the equivalent degree
- At least 4 years of experience
- Oral and written proficiency in English required

What Sets You Apart

- Preference for at least one of the following fields of study: Accounting, Engineering, Data Processing/Analytics/Science, Computer and Information Science, Economics, Finance
- At least one of the following: A Certification in databases (Databricks, MS SQL), visualization tools (Power BI), cloud platforms (AWS, Azure, GCP), or predictive modeling/ML (Python, SAS)
- Demonstrating proficiency in data analysis and visualization tools
- Utilizing advanced data modeling and data pipeline techniques
- Excelling in complex data analysis and data-driven insights
- Leading teams in data integration and data quality improvement
- Mentoring others in data science and machine learning applications

Travel Requirements

Job Posting End Date

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Sobre a PwC

Are you ready to make a difference? Want to unlock new value by applying your unique perspective and talents? You can grow exponentially at PwC. Here, you can uncover hidden talents, build lifelong relationships rooted in trust and empathy and turn challenges into opportunities for innovation. We’ll help you grow your skills through challenging, meaningful work so you can go further.

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