Data & Automation Analyst — Power BI & ETL (Hybrid)

AECO; Manchester; Hybrid; GBP 55,000 - 75,000; Full time

Job summary

AECOM seeks a data analytics professional in London to drive automated data workflows and create Power BI dashboards that visualize project performance. You will work with the information management team to translate data needs into effective visual solutions and support ongoing data modeling efforts.

With a hybrid work model from Aldgate Tower, you will learn SQL basics, contribute to small software tooling tasks, and help maintain documentation and data quality across projects.

Qualifications

• Bachelor's degree in a relevant field or equivalent practical experience.
• Power BI proficiency with data modelling and DAX is a plus.
• Analytical and problem-solving skills to understand project data.
• Technical aptitude with a willingness to learn new technologies.
• Excellent written and verbal communication to explain insights.

Responsibilities

• Automation Development: develop automated data processes and ETL workflows.
• Power BI Development: create dashboards and reports to visualize performance metrics.
• Data Exploration & Analysis: identify trends and potential improvements in project data.
• Software Development Support: assist senior team members with small tooling tasks and SQL basics.
• Documentation & Data Quality: maintain process docs and ensure data accuracy.

Skills

Power BI

Analytical Skills

Technical Aptitude

Communication Skills

Creativity

Education

Bachelor's degree

Tools

SQL

Data visualization tools

PM methodologies

Job description

AECOM seeks a data analytics professional in London to drive automated data workflows and create Power BI dashboards that visualize project performance. You will work with the information management team to translate data needs into effective visual solutions and support ongoing data modeling efforts.

With a hybrid work model from Aldgate Tower, you will learn SQL basics, contribute to small software tooling tasks, and help maintain documentation and data quality across projects.