Data Analyst - Transport

Hayes
4 days ago
Create job alert

Our client is a well-established logistics company supporting the transportation of passengers around Heathrow and the surrounding areas of West London. Due to the continued success of the business, they are looking for a Transport Performance Analyst to join their office located just outside of Heathrow.

The successful candidate will be responsible for tracking transportation data extensively, performing quantitative analysis, and identifying and recommending improvements to in-house systems and the company's processes. They will play a key role in helping the company implement new policies and procedures.

Data Analyst - Transport - Position Overview

Undertake analysis and reporting on all aspects of transport performance data.
Identify discrepancies in the transportation systems and recommend improvements.
Contribute to both qualitative and quantitative assessments of operational performance and travel trends.
Support the development and maintenance of a central intelligence hub and data library.
Monitor transport industry trends, standards, and practices to identify developments in logistics planning.

Data Analyst - Transport - Position Requirements

Bachelor's or Graduate's Degree in business, business administration, computer science, information technology, or equivalent experience.
Fluency in statistics, frameworks, and performance analysis.
A collaborator with a focus on continuous improvement.
Relevant experience in analytical tasks or projects, particularly working with data.
Strong analytical and problem-solving skills, with the ability to interpret data and apply findings.
Ability to work collaboratively within a team as well as independently.
Proficiency in Microsoft Word, Excel, and PowerPoint.
Ability to execute SQL queries.
Experience within Transport and/ or Logistics industry

Data Analyst - Transport - Position Remuneration

Basic gross salary of £40,000.00 per annum.
Hybrid work pattern: Flexible schedule with 3 days on-site and 2 days remote.
25 days of annual leave + 8 bank holidays.
Auto-enrolment in the company pension scheme.
Free on-site car parking.
Streamline Search is a technical recruitment agency based in Chichester, West Sussex, operating across the United Kingdom. We are acting as a recruitment agency in relation to this vacancy, and in accordance with GDPR. By applying to this post, you grant us consent to process your data and contact you regarding this application

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data analyst

Data Analyst

Data Analyst

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Leadership for Managers: Strategies to Motivate, Mentor, and Set Realistic Goals in Data-Driven Teams

Machine learning (ML) has become an indispensable force in the modern business world, influencing everything from targeted marketing campaigns to advanced medical diagnostics. As industries integrate predictive algorithms and data-driven decision-making into their core operations, the need for effective leadership in machine learning environments has never been greater. Whether you’re overseeing a small team of data scientists or spearheading an enterprise-scale ML project, your leadership style must accommodate rapid innovation, complex problem-solving, and diverse stakeholder expectations. This guide provides actionable insights into how you can motivate, mentor, and establish achievable goals for your machine learning teams—ensuring they thrive in data-driven environments.

Top 10 Books to Advance Your Machine Learning Career in the UK

Machine learning (ML) remains one of the fastest-growing fields within technology, reshaping industries across the UK from finance and healthcare to e-commerce, telecommunications, and beyond. With increasing demand for ML specialists, job seekers who continually update their knowledge and skills hold a significant advantage. In this article, we've curated ten essential books every machine learning professional or aspiring ML engineer in the UK should read. Covering foundational theory, practical implementations, advanced techniques, and industry trends, these resources will equip you to excel in your machine learning career.

Navigating Machine Learning Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Machine learning (ML) has swiftly become one of the most in-demand skill areas across industries, with companies leveraging predictive models and data-driven insights to solve challenges in healthcare, finance, retail, manufacturing, and beyond. Whether you’re an early-career data scientist aiming to break into ML, a seasoned engineer branching into deep learning, or a product manager exploring AI-driven solutions, machine learning career fairs offer a powerful route to connect with prospective employers face-to-face. Attending these events can help you: Network with hiring managers and technical leads who make direct recruitment decisions. Gain insider insights on the latest ML trends and tools. Learn about emerging job roles and new industry verticals adopting machine learning. Showcase your interpersonal and communication skills, both of which are increasingly important in collaborative AI/ML environments. However, with many applicants vying for attention in a bustling hall, standing out isn’t always easy. In this detailed guide, we’ll walk you through how to prepare meticulously, pitch yourself confidently, ask relevant questions, and follow up effectively to land the machine learning opportunity that aligns with your ambitions.