Application Guide

How to Apply for Data Analytics & Visualization Lead

at AECOM

🏢 About AECOM

AECOM is a global infrastructure consulting firm that stands out for its commitment to building sustainable legacies through innovative engineering and environmental solutions. Working here means contributing to large-scale projects that shape communities and address critical challenges like climate resilience and urbanization, offering a unique opportunity to apply data analytics to real-world infrastructure problems.

About This Role

As the Data Analytics & Visualization Lead at AECOM, you'll be responsible for building and optimizing data pipelines using SQL Server and ETL frameworks to integrate diverse datasets like EAM, GIS, and operational data. You'll develop Power BI dashboards that drive decision-making across engineering, maintenance, and capital planning, directly impacting how AECOM manages infrastructure projects and utility operations.

💡 A Day in the Life

A typical day might involve optimizing SQL Server data pipelines to integrate new GIS datasets, collaborating with engineering teams to refine KPI frameworks for utility management, and enhancing Power BI dashboards that support capital planning decisions. You'll also spend time mentoring junior analysts on best practices for data modeling and visualization, ensuring alignment with AECOM's operational goals.

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🎯 Who AECOM Is Looking For

  • Has hands-on experience with SQL Server stored procedures and ETL frameworks, specifically for integrating engineering and operational datasets
  • Can demonstrate a portfolio of Power BI dashboards that support operational KPIs and leadership decision-making
  • Has experience mentoring junior data analysts and providing technical oversight in a data analytics environment
  • Understands how to build semantic data models that optimize performance for large-scale infrastructure datasets

📝 Tips for Applying to AECOM

1

Highlight specific experience with EAM (Enterprise Asset Management) or GIS data integration in your resume, as these are mentioned in the job description

2

Include concrete examples of Power BI dashboards you've developed for engineering or utility management contexts

3

Mention any experience with infrastructure, environmental, or engineering datasets, as this aligns with AECOM's focus

4

Quantify your impact with metrics like 'reduced data processing time by X%' or 'improved dashboard load time by Y seconds'

5

Tailor your application to emphasize how your skills support sustainable infrastructure solutions, referencing AECOM's mission

✉️ What to Emphasize in Your Cover Letter

['Explain how your experience with SQL Server and ETL frameworks has enabled data integration for operational or engineering datasets', 'Describe a specific Power BI dashboard project that supported decision-making in areas like maintenance or capital planning', "Highlight your mentoring experience and how you've provided technical oversight to junior data analysts", "Connect your skills to AECOM's focus on sustainable infrastructure and innovative solutions"]

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → Explore AECOM's recent infrastructure projects and sustainability initiatives to understand their focus areas
  • → Research the types of engineering and utility management challenges AECOM addresses (e.g., water resources, transportation, environmental remediation)
  • → Look into AECOM's use of technology in infrastructure projects, such as digital twins or IoT integration
  • → Review AECOM's corporate reports or case studies to identify how data analytics supports their project delivery

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 Walk me through your experience building data pipelines with SQL Server stored procedures for ETL processes
2 How would you approach integrating EAM, GIS, and operational datasets into a centralized analytical model?
3 Describe a Power BI dashboard you developed that influenced operational or strategic decision-making
4 What methods do you use for mentoring junior data analysts and ensuring technical quality in their work?
5 How do you optimize semantic data models for performance with large-scale engineering datasets?
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⚠️ Common Mistakes to Avoid

  • Submitting a generic resume without highlighting experience with SQL Server, Power BI, or ETL frameworks specific to engineering/data integration
  • Failing to provide examples of mentoring or technical oversight in previous roles, as this is a key requirement
  • Not tailoring your application to AECOM's focus on infrastructure and sustainability, making it seem like you're applying to any data role

📅 Application Timeline

This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.

Typical hiring timeline:

1

Application Review

1-2 weeks

2

Initial Screening

Phone call or written assessment

3

Interviews

1-2 rounds, usually virtual

✓

Offer

Congratulations!

Ready to Apply?

Good luck with your application to AECOM!

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