WHAT IS ON OFFER
Alfred H Knight has an exciting opportunity for a Data Quality Analyst to join our Operational Data Strategy team based at our global head office in Prescot (Liverpool).
Driven by strong year-on-year operational growth of over 10% and continuous investment back into our digital capabilities, we are actively modernising our global data landscape. As our organisation advances its data maturity, you will play a key technical role in harmonising large, fragmented datasets across over 40 regional system instances following sustained periods of international growth.
Sitting right at the intersection of business operations and IT, you won't just be cleaning data - you will act as a vital technical bridge. You will work directly alongside business Data Owners and Data Stewards to profile, harmonise, and feed high-quality, standardised data into our enterprise Master Data Management (MDM) platform, directly enabling accurate global reporting and strategic decision-making across 35+ countries.
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
- Technical SQL Capabilities: Proven, hands-on experience writing SQL queries, scripts, and routines to extract, profile, audit, and clean large, multi-source datasets (multi-table joins, aggregations, window functions).
- Python Scripting: Practical proficiency in Python (e.g. Pandas, NumPy) for data manipulation, batch processing, and automation.
- Data Profiling & Quality: Demonstrable experience using data profiling tools (e.g. Microsoft Purview or similar) to evaluate large datasets and investigate root causes of data anomalies.
- Master Data Management (MDM): Working knowledge of or exposure to an enterprise MDM platform (e.g. Semarchy, Reltio, Informatica MDM, Profisee, SAP MDG).
- Bridging Tech & Business: Excellent communication and stakeholder skills, with the proven ability to explain technical data quality issues in clear, practical terms to non-technical business stewards and operational leads.
Required Competencies
- Detail-oriented: Structured, persistent approach to investigating data discrepancies across fragmented legacy systems.
- Collaborative team player: Comfortable working alongside cross-functional and multi-regional teams to establish shared standards.
- Proactive mindset: Ability to translate operational rules and regulatory compliance requirements into technical Data Quality rules.
Required Work Experience
- Demonstrable practical experience in a Data Quality, Data Analysis, or Data Support role within a complex, multi-system business environment.
- Experience working with unnormalised legacy database structures, inconsistent formatting, and disparate data sources.
- Exposure to Testing, Inspection, and Certification (TIC), laboratory environments (LIMS software), or ISO 17025 / 9001 frameworks is advantageous.
Required Qualifications
- Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related quantitative 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.
Skills Required
- Hands-on experience writing SQL queries, scripts, and routines for extracting, profiling, auditing, and cleaning large multi-source datasets, including joins, aggregations, and window functions.
- Practical proficiency in Python, including tools such as Pandas and NumPy, for data manipulation, batch processing, and automation.
- Experience using data profiling tools such as Microsoft Purview or similar to evaluate datasets and investigate data anomalies.
- Working knowledge of or exposure to an enterprise Master Data Management platform such as Semarchy, Reltio, Informatica MDM, Profisee, or SAP MDG.
- Excellent communication and stakeholder-management skills, with the ability to explain technical data quality issues to nontechnical stakeholders.
- Practical experience in a Data Quality, Data Analysis, or Data Support role within a complex, multi-system business environment.
- Experience working with unnormalised legacy databases, inconsistent formatting, and disparate data sources.
- Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related quantitative discipline, or equivalent practical industry experience.
- Exposure to Testing, Inspection, and Certification environments, laboratory environments, LIMS software, or ISO 17025 and ISO 9001 frameworks.
What We Do
Alfred H Knight is a leading global provider of independent inspection, analytical, and technical consultancy services. With over 140 years of experience, the company serves the metals, minerals, solid fuels, and agricultural industries, ensuring accurate and reliable results through a global network of strategically located laboratories and inspectors across more than 45 countries.
