Data Analyst - Automotive

Data Analyst - Automotive

Mission

Are you passionate about transforming complex data into meaningful insights? Do you enjoy building automated solutions, creating impactful dashboards, and solving real business challenges? If so, we have an exciting opportunity for you to join a forward-thinking Manufacturing Engineering team as a Data Engineer.

What You'll Do

In this role, you'll be at the heart of data-driven decision-making, working closely with engineering, management, and digital teams to unlock the value of operational data. You'll identify opportunities for improvement, automate data processes, and develop innovative solutions that help teams perform at their best.

Key Responsibilities

Design and develop engaging Tableau dashboards that turn data into actionable insights.

Extract, clean, transform, and model data from multiple sources.

Automate data extraction and transformation processes to improve efficiency.

Build and maintain Power Apps and Power Automate solutions to close business process gaps.

Collaborate with stakeholders across Manufacturing Engineering and Digital teams to understand business needs and deliver impactful solutions.

Drive continuous improvement through data-led decision making.

Profile

Strong experience creating dashboards and reporting solutions using Tableau.

Experience with Google Cloud Platform (GCP).

SQL expertise with proven data extraction and transformation experience.

Knowledge of data modelling and relational databases.

Experience automating data processes and workflows.

Power Apps and Power Automate development experience.

Excellent communication, stakeholder management, and problem-solving skills.

Bonus Points For

Python development skills.

Relevant Data Engineering, Data Analytics, or STEM qualifications.

Why Join Us?

This is an opportunity to make a visible impact in a business that values innovation, collaboration, and continuous improvement. You'll work with cutting-edge technologies, influence key business decisions, and help shape the future of data-driven manufacturing.