Senior Data Analyst

EMR Group; Warrington; Hybrid; GBP 45,000 - 65,000; Full time

Job summary

EMR Group is looking for a Senior Data Analyst in Warrington to turn complex data into meaningful business insights. You will partner with commercial and operational teams to uncover opportunities, develop data-driven solutions and drive performance.

You will build and maintain reports and dashboards, work with Data Engineers to curate datasets, and communicate clear recommendations to stakeholders across the business. A strong analytics background and commercial mindset are essential.

Qualifications

• Strong SQL and Python programming skills with complex datasets.
• Experience creating reports and dashboards in Tableau or Power BI.
• Advanced analytical, statistical and modelling abilities.
• Experience applying machine learning and AI to business challenges.
• Proven track record delivering data-driven solutions that improve outcomes.
• Excellent stakeholder management and communication skills.
• Commercial awareness and ability to align analytics with business goals.
• Knowledge of cloud-based analytics environments and data technologies.

Responsibilities

• Delivering commercial insight: partnering with teams to improve performance and support decision-making.
• Turning data into action: analysing complex datasets to uncover trends and translate findings into recommendations.
• Developing reporting and analytics: building dashboards using Tableau or Power BI and improving reporting processes.
• Improving data capabilities: collaborating with Data Engineers to curate datasets across internal and external sources.
• Leading analytical projects: owning projects from requirements to delivering insights and recommendations.
• Influencing and collaborating: building relationships across departments to promote data-driven work.
• Exploring new technologies: applying advanced analytics, statistical modelling and ML to business challenges.
• Championing data quality and governance: promoting accuracy, consistency and security.

Skills

SQL

Python

Data visualization

Statistical analysis

Machine learning

Stakeholder management

Commercial awareness

Cloud analytics

Tools

Tableau

Power BI

Job description

About our opportunity

Are you passionate about turning complex data into meaningful insights that drive better business decisions? Do you enjoy solving problems, challenging the status quo, and helping organisations unlock the true value of their data?

We’re looking for a Senior Data Analyst to join our Commercial Department and play a key role in shaping our data-driven future.

Working closely with our Data Analytics Manager, Data Engineers, and stakeholders across the business, you’ll identify opportunities to use data to improve commercial performance, support better decision-making and deliver measurable business benefits.

Combining strong technical expertise with commercial awareness, you’ll transform complex datasets into clear, actionable insights using SQL, data visualisation, and advanced analytical techniques. You’ll build relationships across the organisation, influence stakeholders and help embed a culture where data is at the heart of how we make decisions.

This is an exciting opportunity to use your analytical expertise to influence business strategy, drive continuous improvement and contribute to our wider ambitions around People, Profit and Planet.

What you’ll be doing

• Delivering commercial insight: Partnering with teams across the business to understand challenges, identify opportunities and develop data-driven solutions that improve performance and support commercial decision-making.
• Turning data into action: Analysing complex datasets to uncover trends, patterns, and opportunities, translating your findings into clear recommendations that stakeholders can understand and act upon.
• Developing reporting and analytics: Building and maintaining insightful reports and dashboards using tools such as Tableau or Power BI, while identifying opportunities to improve reporting capabilities and analytical processes.
• Improving our data capabilities: Working closely with Data Engineers to develop, enhance and curate datasets, bringing together relevant internal and external data sources to support business needs.
• Leading analytical projects: Taking ownership of analytical projects from understanding business requirements through to delivering insights and supporting the implementation of recommendations.
• Influencing and collaborating: Building strong relationships across Commercial, Operations, Finance, Marketing and other departments, helping stakeholders understand the value of data and embrace better ways of working.
• Exploring new technologies: Applying advanced analytical techniques, statistical modelling, machine learning and AI to solve complex business challenges and uncover new opportunities.
• Championing data quality and governance: Promoting data accuracy, consistency, and security, ensuring data is used responsibly and in line with relevant governance, ethical and data protection standards.
• Driving continuous improvement: Keeping up to date with developments in data analytics, visualisation and emerging technologies, identifying innovative ways to strengthen our data capabilities.

Throughout everything you do, you’ll ensure our three pillars – People, Profit and Planet – remain central to your approach and decision-making.

About you

You’re a naturally curious and commercially minded analyst who enjoys getting to the heart of a problem, asking the right questions, and using data to make a real difference. You’re confident working with complex datasets, but just as importantly, you know how to turn technical findings into meaningful insights that influence decisions and deliver results.

You’ll bring a combination of technical expertise, analytical thinking, and strong communication skills, alongside the confidence to challenge existing approaches and build relationships across the business.

What you’ll bring

• Strong SQL and programming skills, particularly in Python, with experience working with complex datasets from multiple sources.
• Experience developing reports and interactive dashboards using data visualisation tools such as Tableau, Power BI or equivalent.
• Advanced analytical, statistical, and modelling skills, with the ability to identify trends, solve complex problems and translate findings into actionable insights.
• Practical experience applying machine learning and artificial intelligence techniques to real‑world business challenges.
• A track record of delivering data‑driven solutions that support business improvement and measurable commercial outcomes.
• Strong communication skills, with the ability to explain complex technical concepts and present insights to both technical and non‑technical audiences.
• Excellent stakeholder management and influencing skills, with the confidence to challenge constructively and bring people along with you.
• Commercial awareness and the ability to understand business priorities and align analytical solutions to organisational objectives.
• Knowledge of cloud‑based analytics environments, modern data technologies, and contemporary approaches to data management.

And just as importantly, you’ll be someone who:

• Has a curious and inquisitive mindset, with a genuine passion for uncovering insights and solving complex problems.
• Is an innovative thinker who challenges existing ways of working and looks for better, smarter ways to do things.
• Is collaborative and relationship‑focused, able to work effectively with colleagues across different teams and disciplines.
• Demonstrates ownership, accountability, and a results‑driven approach, taking responsibility for delivering meaningful outcomes.
• Is resilient and adaptable, comfortable working in a changing environment and managing competing priorities.
• Is committed to continuous learning, sharing knowledge and helping build a stronger data‑driven culture across the organisation.

Experience within commodity trading, recycling, manufacturing, logistics or a related industry would be advantageous, but above all, we’re looking for someone who can combine technical excellence with commercial thinking and a passion for making data work harder for the business.