Data Analyst

Location: London
Business Unit: WPS (Wates Property Services)

Job Summary

WPS is seeking a detail-oriented and analytical Data Analyst to join our London-based team. The successful candidate will be responsible for collecting, analysing, and interpreting data to support business decision-making, identify trends, and improve operational performance. The role requires strong analytical skills, attention to detail, and the ability to communicate complex information clearly to stakeholders across the business.

Key Responsibilities

• Collect, clean, validate, and analyse large datasets from various sources.
• Develop and maintain dashboards, reports, and visualisations to support business objectives.
• Identify trends, patterns, and actionable insights that drive strategic decision-making.
• Work closely with stakeholders to understand reporting requirements and business needs.
• Monitor key performance indicators (KPIs) and provide regular performance reporting.
• Ensure data accuracy, integrity, and consistency across systems.
• Produce ad hoc analysis and reports to support operational and strategic initiatives.
• Present findings and recommendations to management and key stakeholders.
• Support the development and implementation of data quality and governance processes.
• Collaborate with cross-functional teams to improve business performance through data-driven insights.
• Assist in automating reporting processes and improving data efficiencies.

Skills & Experience

Essential

• Experience in a Data Analyst, Business Analyst, Reporting Analyst, or similar analytical role.
• Advanced Microsoft Excel skills, including pivot tables, lookups, and data modelling.
• Experience using Power BI to create dashboards and reports.
• Strong knowledge of SQL and database concepts.
• Excellent analytical and problem-solving skills.
• Strong attention to detail and commitment to data accuracy.
• Ability to manage multiple priorities and work effectively to deadlines.
• Strong communication and stakeholder management skills.

Desirable

• Experience with Python, R, or other data analysis tools.
• Knowledge of data warehousing and ETL processes.
• Experience working within construction, social housing, property services, facilities management, or related sectors.
• Understanding of statistical analysis and forecasting techniques.
• Experience with Microsoft Fabric or Azure data services.

Qualifications

• Bachelor's degree in Data Analytics, Mathematics, Statistics, Computer Science, Business, or a related discipline, or equivalent industry experience.
• Relevant professional certifications in Power BI, Data Analytics, SQL, or related areas are advantageous.

Personal Attributes

• Highly organised and methodical.
• Naturally curious with a passion for turning data into meaningful insights.
• Proactive and solutions-focused approach.
• Ability to explain technical information to non-technical audiences.
• Strong team player with a collaborative mindset.
• Committed to continuous improvement and innovation.

What We Offer

• Competitive salary and benefits package.
• Opportunities for professional development and career progression within Wates.
• Supportive and collaborative working environment.
• Access to industry-leading projects and technologies.
• Flexible and hybrid working opportunities where applicable.