Data & Reporting Analyst

WHAT IS ON OFFER
Alfred H Knight has an exciting opportunity for a Data & Reporting Analyst to join our Operational Data Strategy team based at our global head office in Prescot (Liverpool).
As our business continues its rapid global growth and ongoing digital transformation, we are heavily investing in turning operational, commercial, and financial data into actionable business intelligence. Operating within a complex Testing, Inspection, and Certification (TIC) environment across 35+ countries, you will work closely alongside a Senior Data & Reporting Analyst to build high-quality Power BI dashboards, paginated reports, and robust data models that empower strategic decision-making
across global leaders.
This is a hands-on, high-visibility role for an analytical professional who loves delving into datasets, crafting DAX measures, and translating complex metrics into clear, visual stories for senior stakeholders.
ABOUT US
Alfred H Knight is a totally independent, family owned business spanning five generations. A global network of strategically placed offices and laboratories enable global trade by providing independent inspection, analysis and consultancy services to the metals and minerals, solid fuels and agriculture industries.
We have honed and carefully crafted our reputation. Delivering knowledge and professionalism in all aspects of weighing, sampling and analysis. We thrive by continuing to re-invest in our facilities, technology and people. Click here to find out more about AHK.
DO YOU HAVE WHAT IT TAKES?
To be successful at Alfred H Knight you will need to display the following:
REQUIRED KNOWLEDGE AND WORK EXPERIENCE
Essential
Power BI Capability: Strong, demonstrable hands-on capability in Power BI, including building interactive dashboards, custom reports, and data visualisations.
DAX & Power Query: Solid experience developing data models, writing DAX measures, and creating repeatable ETL transformations using Power Query.
Data Preparation & Validation: Proven ability to clean, transform, and validate complex datasets sourced from multiple enterprise systems (such as CRM, LIMS, Finance, or ERP).
Spreadsheet Capabilities: Advanced Excel skills for data manipulation, pivot tables, and independent reconciliation of data discrepancies.
Stakeholder Insights: Strong ability to interpret complex operational data and translate it into concise, decision- useful insights for non-technical stakeholders.
Required Competencies
Detail-oriented: High attention to detail with a curious, analytical, and problem-solving mindset.
Strong communicator: Clear verbal and written communication skills with the confidence to engage across cross-functional business teams.
Self-motivated & organised: Comfortable working independently under guidance within a dynamic digital transformation environment.
Eagerness to learn: Passionate about continuing to learn, adapt, and progress technical capabilities over time.
Required Work Experience
Practical experience operating in a dedicated Data Analyst, Reporting Analyst, or BI role.
Practical proficiency with SQL (querying, aggregating, and joining datasets) is advantageous.
Exposure to workflow automation tools (Power Automate / Power Apps) or KPI reporting frameworks is preferred.
Experience within TIC, laboratory, manufacturing, or supply chain environments is desirable.
Required Qualifications
Bachelor’s degree in Data Analytics, Information Systems, Business Intelligence, or a related analytical discipline (or equivalent practical industry experience).
BENEFITS
We are offering an excellent opportunity with a salary and benefits package to match including pension, life assurance and an employee assistance programme.
If you are invited to interview, please let us know if there are any reasonable adjustments we can make to the recruitment process that will enable you to perform to the best of your ability.
Alfred H Knight is committed to creating a diverse & inclusive environment and hence welcomes applications from all sections of the community.

Employment type
Full-Time

Work arrangement
No