Project Data & BI Specialist (Hybrid)

AECO; Birmingham; Hybrid; GBP 28,000 - 40,000; Full time

Job summary

AECOM is seeking an early-career Data & Analytics professional to join our London-based Information Management team. You’ll help automate data processes, build Power BI dashboards, and support project tools across data sources, ETL workflows, and data models.

You’ll learn SQL, contribute to data quality, and collaborate with senior analysts to translate requirements into visual solutions. A hybrid work environment offers growth opportunities.

Qualifications

• Education: Bachelor's degree in a relevant field (e.g., Data Science, Business Analytics, Engineering, Statistics) or equivalent practical experience.
• Industry: Training within Design and Information Management will be provided.
• Skills: Power BI basic/intermediate, data modelling, DAX; analytical, communication and creativity.

Responsibilities

• Automation Development: developing automated data processes and ETL workflows from various project sources.
• Power BI Development: create dashboards and reports to visualise performance, trends and metrics.
• Data Exploration & Analysis: identify trends, anomalies and areas for improvement.
• Software Development Support: assist with developing project tools and basic programming tasks.
• Creative Problem Solving: propose innovative data-driven solutions.
• Documentation: maintain docs for processes, reports, models, and tools.
• Data Quality: contribute to data accuracy across projects.

Skills

Power BI

Analytical Skills

Technical Aptitude

Communication Skills

Creativity

Education

Bachelor's degree in Data Science / Analytics / Engineering / Statistics or equivalent

Tools

SQL

Data Visualization Tools

Job description

AECOM is seeking an early-career Data & Analytics professional to join our London-based Information Management team. You’ll help automate data processes, build Power BI dashboards, and support project tools across data sources, ETL workflows, and data models.

You’ll learn SQL, contribute to data quality, and collaborate with senior analysts to translate requirements into visual solutions. A hybrid work environment offers growth opportunities.