Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Analyst

Aptean
Leicester
1 year ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Overview

Data Analyst

Enderby, UK

Are you ready for what’s next, now? We’re looking for a Data Analyst in our Enderby office in. The position is 4 days per week and office based. You’ll join an awesome team to support our growing customer base.

About the Role

We seek a highly skilled and detail-oriented Data Analyst to join our dynamic team. The successful candidate will analyse logistics data to improve our supply chain operations, increase efficiency, and reduce costs. This role involves working closely with various departments to provide actionable insights and support decision-making processes.

Key Responsibilities:

Data Collection and Analysis: Gather, process, and analyse logistics data from various sources (e.g., transportation, warehousing, inventory systems). Develop and maintain databases, data systems, and data analytics tools. Conduct detailed analysis to identify trends, patterns, and insights. Reporting and Visualization: Create and maintain dashboards, reports, and visualisations to communicate findings to stakeholders. Present data-driven insights and recommendations to senior management. Performance Monitoring: Monitor key performance indicators (KPIs) related to logistics operations, including delivery times, costs, and efficiency metrics. Identify areas for improvement and recommend solutions to optimise logistics processes. Forecasting and Modelling: Develop predictive models to forecast future logistics needs and challenges. Utilize statistical and machine learning techniques to enhance data analysis. Collaboration and Support: Work closely with logistics, supply chain, and IT teams to understand data requirements and provide analytical support. Assist in the implementation of new logistics technologies and systems. Compliance and Risk Management: Ensure compliance with industry regulations and company policies in data management. Identify and mitigate risks associated with logistics data and operations.

About you

To be ahead of the pack, you might have:

Bachelor’s degree in Logistics, Supply Chain Management, Data Science, Statistics, or a related field. Advanced degree or relevant certifications (e.g., APICS, Six Sigma) is a plus. Minimum of 2-3 years of experience in data analysis, preferably within the logistics or supply chain industry. Proven experience with data analysis tools and software (e.g., QlikSense, SQL, Python, R, Tableau, Power BI). Strong analytical and problem-solving skills. Proficiency in data visualisation and reporting tools. Excellent communication and presentation skills. Ability to work independently and as part of a team. Detail-oriented with a high level of accuracy. Advanced knowledge of Microsoft Excel. Familiarity with ERP systems (e.g., SAP, Oracle) and logistics software.

Personal Attributes:

Strong organizational and time-management skills. Ability to handle multiple projects simultaneously. Adaptability and willingness to learn new tools and techniques. Proactive and innovative mindset.

What’s in it for you?

Aptean offers competitive pay and robust benefit plans along with the opportunity to grow your career in a fast-paced, flexible and casual environment, an outstanding opportunity for career development and growth.

About Aptean

At Aptean, our mission is to solve tomorrow’s unique challenges today with unrivaled, purpose-built software and superior customer experiences from people who care. Aptean is a global provider of mission-critical, industry-specific software solutions. Aptean’ s purpose-built ERP and supply chain management solutions help address the unique challenges facing process and discrete manufacturers, distributors and other focused organizations. Aptean’ s compliance solutions are built for companies serving specific markets such as finance, healthcare, biotech and pharmaceuticals, over 10,000 highly specialized organizations in more than 20 industries and 80 countries rely on Aptean to streamline their everyday operations. “At Aptean, our global and diverse employee base is our greatest asset. It is through embracing and understanding our differences that we are able to harness our individual power to maximize the success of our customers, our employees and our company.” –TVN Reddy

Aptean pledges to promote a company culture where diversity, equity and inclusion are central. We are committed to applying this principle as we interact with our customers, build our teams, cultivate our leaders and shape a company in which any employee can succeed, regardless of race, color, sex, national origin, sexuality and gender identity, religion, disability or age.

Celebrating our diverse experiences, opinions and beliefs allows us to embrace what makes us unique and to use this as an asset in bringing innovative solutions to our customer base

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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 Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.