Junior Data Analyst

ASSYSTEM; England; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading construction logistics firm in the UK is seeking a Junior Data Analyst to support data-driven decision making in material distribution. The role involves gathering and analyzing logistics data, generating actionable insights, and providing reports to stakeholders. Ideal candidates will have experience in logistics or supply chain management, proficiency in tools like Power BI and Excel, and excellent communication skills. The position offers hybrid working, competitive benefits, and a chance to contribute to impactful projects.

Benefits

Hybrid Working Opportunity

Flexible working hours

Pension scheme

25 days paid annual leave

Professional fees reimbursed

Employee referral scheme

Competitive Sick Pay

Income Protection & 3x Salary Death-in-Service Cover

Free Digital Gym Access

24/7 Employee Support Line

Qualifications

• Experience in logistics, supply chain management, data analytics, or a related field.
• Proven experience in logistics or materials management with a strong emphasis on data analysis.
• Experience using Power BI and Excel for data analysis, performance monitoring, and decision-making.

Responsibilities

• Gather and analyze logistics data including delivery performance and material flow efficiency.
• Provide regular detailed reports on logistics performance to stakeholders.
• Use data analysis tools to generate actionable insights supporting decision-making.
• Monitor key performance indicators related to material distribution and operational efficiency.
• Leverage data to forecast potential disruptions and recommend corrective actions.

Skills

Data Analytics

Microsoft Access

SQL

Power BI

Data Visualization

Data Management

Data Mining

SAS

R

Data Analysis Skills

Tools

Microsoft Office

Power BI

Job description

The Job Mission

The Junior Data Analyst is responsible for collating data required to support data-driven decision making to support the effective distribution of materials across the construction areas. They must analyse logistics data identify potential bottlenecks or delays and make suggestions that align with project timelines and safety standards. While the primary decision-making responsibility lies with the Construction Logistics Leads the Junior Data Analyst plays a crucial role in providing key insights highlighting potential risks and recommending solutions. Their ability to assess data resolve distribution issues and collaborate with other teams ensures that decisions are made promptly and effectively contributing to the smooth flow of materials and the overall success of the project.

Key responsibilities include:

• Data Collection and Analysis: Gather and analyse logistics data including delivery performance material flow efficiency and identification of operational bottlenecks.
• Reporting: Provide regular and detailed reports to key stakeholders including the Construction Logistics Lead (Distribution) and senior management to give visibility on logistics performance.
• Actionable Insights: Use data analysis tools such as Power BI and Excel to generate actionable insights that support decision-making and help identify trends or areas for improvement.
• Performance Tracking: Monitor key performance indicators (KPIs) related to material distribution and operational efficiency ensuring that logistics goals align with project milestones.
• Forecasting and Issue Resolution: Leverage data to forecast potential disruptions or delays and recommend corrective actions to keep material deliveries on schedule.

Qualifications :

Knowledge & Skills:

The ideal candidate will have a background in construction logistics combined with a strong understanding of data analytics to monitor and optimise logistics performance. This individual should possess excellent problem-solving abilities and the capacity to work with various teams to overcome challenges in material flow and distribution. Additionally the candidate must have excellent communication skills to relay complex logistics data to both technical and non-technical stakeholders ensuring alignment with project goals and timelines. Key skills and qualifications include:

Qualifications & Experience:

• Experience in logistics supply chain management data analytics or a related field.
• Proven experience in logistics supply chain or materials management with a strong emphasis on data analysis.
• Experience using business intelligence tools such as Power BI and Excel for data analysis performance monitoring and decision-making.
• Experience in Regulated Industries: Prior experience working in regulated industries such as nuclear aerospace or rail is an advantage.

Tools and Software

The jobholder will be expected to have knowledge of and to use the following (or similar equivalent) software tools:

• Microsoft Office software (Excel Word PowerPoint Access).
• Power BI (Business Intelligence Analytics).

Additional Information :

Why Apply

This is a unique opportunity to contribute to one of the most impactful nuclear programmes in the UK supporting the safe and efficient delivery of essential logistics and digital operations. You will join your future team at a time of growth influence service excellence and help shape data-driven delivery processes across a major infrastructure programme.

Benefits include:

Hybrid Working Opportunity

Flexible working hours

Pension scheme (8% company contribution / 4% personal contribution)

25 days paid annual leave bank holidays option to buy or sell days

Professional fees reimbursed

Employee referral scheme

Competitive Sick Pay Support when you need it

Income Protection & 3x Salary Death-in-Service Cover

Free Digital Gym Access Expert-led fitness classes

24/7 Employee Support Line Mental health financial & legal help

We are committed to equal treatment of candidates and promote as well as foster all forms of diversity within our company. We believe that bringing together people with different backgrounds and perspectives is essential for creating innovative and impactful solutions. Skills talent and our peoples ability to dare are the only things that matter !. Bring your unique contributions and help us shape the future.

Key Skills

• Data Analytics
• Microsoft Access
• SQL
• Power BI
• R
• Data Visualization
• Tableau
• Data Management
• Data Mining
• SAS
• Data Analysis Skills

  Remote Work

  No

  Employment Type

  Full-time