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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
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