Lead Data Analyst

Wates; Leatherhead; On-site; GBP 55,000 - 75,000; Full time

Job summary

Wates is seeking a highly skilled Lead Data Analyst to join its Data & Analytics team. This technical leadership role focuses on delivering high-quality analytics solutions while coaching members of the team. Key responsibilities include managing Data Analysts, designing data models, and engaging with stakeholders effectively. The ideal candidate will have a solid background in data analysis with expertise in tools like Power BI and Python, making data-driven decision-making integral to the organization.

Benefits

Travel covered to any of our sites

Private Medical

Pension 8% employers’ contribution

Health and Wellness programme

26 days holidays + bank holidays

Industry leading family leave benefits

Qualifications

• Strong background in data analysis, modelling, and visualisation.
• Expert in DAX, Python, data notebooks.
• Proficient in Power BI and Excel.

Responsibilities

• Manage Data Analysts, including workload planning and user story structuring.
• Design and build data models, implement metrics using tools like DAX.
• Gather requirements, translate them into actionable features for the data strategy.

Skills

Data analysis

Data modelling

Data visualisation

Storytelling with data

Stakeholder engagement

Education

Certification in Data Analytics Technology

Tools

Power BI

DAX

Python

Databricks

Microsoft Data Lake

Excel

Job description

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We are seeking a highly skilled Lead Data Analyst to join our growing Data & Analytics team. This is a technical leadership role focused on both delivering high-quality analytics solutions and coaching Assistant Data Analysts to ensure excellence across the team. You will act as the key link between business requirements and technical execution, enabling data-driven decision-making across the organisation.

Key Responsibilities:

• Day-to-day management of Data Analysts, including workload planning, prioritisation, and ensuring the correct structure of user stories and tasks.

2. Data Analysis & Development

• Characterise raw data to determine source of truth, granularity, dimensions, and transformation needs.
• Design and build data models (e.g. Star Schema), implement metrics using tools like DAX, and develop dashboards or hand off datasets for business use.

3. Requirements Gathering & Translation

• Work closely with business users to understand needs, refine them into actionable features aligned with data strategy and Wates standards.

4. Skills Development & Training

• Create and deliver training materials for team members and business units, promoting upskilling and a data-driven culture.
• Manage the ServiceNow queue for in-life data support, ensuring timely and accurate resolution of issues within SLA, while keeping stakeholders informed.

6. Stakeholder Engagement

• Communicate effectively with both technical and non-technical stakeholders, including senior leadership and 3rd-party vendors.
• May be required to join major project teams to provide data analysis expertise.

Requirements

Knowledge & Experience

• Strong background in data analysis, modelling, and visualisation.
• Expert in DAX, Python, and data notebooks (Databricks, Jupyter, or Azure Synapse).
• Proficient in Power BI and Excel.
• Familiar with Microsoft Data Lake and data modelling best practices.
• Proven experience managing data projects and stakeholder expectations.
• Strong ability to tell stories with data

Qualifications

• Certification in Data Analytics Technology (preferred)

Technical Skills

• Power BI & DAX
• Databricks
• Microsoft Data Lake
• Python (or similar)

WHAT WE OFFER

• Travel covered to any of our sites (subject to HMRC advisory rates)
• Extensive corporate benefits including, Private Medical, Pension 8% employers’ contribution, Health and Wellness programme, 26 days holidays + bank holidays and much more…
• Excellent range of learning and development activity to support your career progression.
• Industry leading family leave benefits to included 26 weeks fully paid maternity, 12 weeks fully paid paternity