Data Quality Analyst

AHK Group; Knowsley; Presencial; GBP 40.000 - 62.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Pension

Life Assurance

Employee Assistance Programme

Descripción de la vacante

Alfred H Knight invites a Data Quality Analyst to join our Operational Data Strategy team at our Prescot head office near Liverpool. You will harmonise large, multi-source datasets and feed high-quality data into our enterprise MDM platform to enable accurate global reporting across 35+ countries.

As a bridge between business operations and IT, you will profile data, implement quality controls, and collaborate with Data Owners and Data Stewards to enforce shared data standards and regulatory

Formación

• Hands-on SQL for data extraction, profiling, and cleaning across multiple sources.
• Proficient Python (Pandas, NumPy) for data manipulation and automation.
• Experience using data profiling tools to identify data quality issues.
• Familiarity with enterprise MDM platforms and data governance.
• Strong communication to explain data quality to non-technical stakeholders.
• Detail-oriented with a methodical approach to data discrepancies.
• Collaborative with cross-functional and multi-regional teams.
• Ability to translate business rules into data quality controls.

Responsabilidades

• Profile, harmonise, and feed high-quality data into the enterprise MDM platform.
• Collaborate with Data Owners and Data Stewards to enforce shared data standards.
• Investigate and resolve data quality issues across fragmented legacy systems.
• Support global reporting and regulatory/compliance needs across 35+ countries.

Conocimientos

SQL queries

Python scripting

Data profiling

MDM knowledge

Bridging tech & business

Attention to detail

Collaborative teamwork

Proactive mindset

Educación

Bachelor’s degree in Computer Science / Data Science / Information Systems

Herramientas

Semarchy

Reltio

Informatica MDM

Profisee

SAP MDG

Microsoft Purview

Descripción del empleo

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

• 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.
• 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.