Data Analyst

Job Title: QA Data Analyst

Company:Moston (FM Asset Management)

Location:Leeds

Work:Hybrid

Role Overview:

The QA Data Analyst is responsible for establishing and maintaining the standards, processes, and tools that govern data quality defined by the specific project scope. They will ensure that all asset data is complete, accurate, consistent, and aligned with agreed project taxonomy.

As a QA Data Analyst, you will play a pivotal role in shaping Moston’s data management framework, driving the quality and trustworthiness of our project deliverables.

Key Responsibilities:

Data Governance:

• Uphold data quality standards, policies, and processes.
• Collaborate with the asset technical team to define data standards and key data quality metrics for each project.
• Provide weekly reporting on progress and provide specific feedback on surveyor output/data quality.
• Ensure adherence to data quality standards, validation rules, and exception reporting, identifying issues such as duplicates, missing assets, and inconsistencies.
• Drive continuous improvement by recommending process enhancements, technology tools, and automation opportunities.
• Communicate data quality findings, metrics, and improvement initiatives to the wider asset management team.
• Provide final reports for submission to the client.
• Serve as an expert resource, advising on how to structure, maintain, and govern their asset data.
• Ensure compliance with relevant data regulations, privacy laws, and corporate policies.
• Maintain documentation of data quality processes, standards, and improvements for audit and compliance purposes.

Qualifications & Experience:

Experience:

• 2+ years of experience working in data quality, data governance, or data management roles in the FM/Property/Construction sectors.
• Proven track record of developing and implementing data quality frameworks.

Technical Skills:

• Strong knowledge of asset data collection software, quality tools and technologies (Mobiess, Asseticom)
• High Proficiency in data analysis tools (Excel, BI dashboards)
• An understanding of Mechanical & Electrical assets, parent child relationships and industry standards such as CIBSE, SFG20, SPONS etc.

Soft Skills:

• Excellent communication skills, with the ability to translate technical findings into actionable recommendations for non-technical audiences.
• Strong analytical, problem-solving, and critical-thinking abilities.
• Detail-oriented, organised, and able to handle multiple priorities simultaneously.

Personal Attributes:

• Passionate about data accuracy, integrity, and value.
• Continuous improvement mindset, proactively seeking opportunities to enhance processes and systems.
• Collaborative team player with a customer-centric approach.
• Ethical and compliant in all aspects of data handling.