Lead Data Analyst

Data Analyst - Hybrid (London) - SQL - Python - BI - Up to £80,000

Why This Company?

I'm working with a global technology & data consultancy that delivers high-impact cloud, analytics and AI solutions to some of the most influential organisations in both the public and private sectors.

They combine the feel of a boutique consultancy with the backing of a global group, giving you the best of both worlds: complex, meaningful projects + a people-first culture where your ideas influence outcomes.

You Will Work With

• Leading analytical delivery across data platform and transformation programmes.
• Running workshops, defining requirements, mapping data flows and aligning stakeholders.
• Designing and overseeing delivery of data workflows, analytical services and reporting/BI solutions.
• Setting standards for documentation, QA, code quality, version control and release management.
• Guiding best practice across cloud, big data, analytics and AI-accelerated frameworks.
• Partnering with business teams (Product, Ops, Finance, Risk) to drive adoption and prioritise work.
• Supporting proposals and pre-sales, shaping analytics workstreams and estimating delivery.
• Developing reusable analytical assets, frameworks and toolkits.

Benefits

• Salary up to £80,000
• Flexible hybrid working (3 days onsite at client or local office)
• Supportive of returners & part-time options
• Strong career progression within a global consultancy
• Comprehensive benefits package
• Industry-leading training, certifications & development
• Values-driven, collaborative culture with a strong focus on people

Key Experience Required

• 3+ years leading analytical or data product delivery in complex, multi-team environments.
• Strong SQL and Python skills.
• Experience delivering outcomes on modern cloud platforms (DWH/lakehouse, BI modernisation, major migrations).
• Strong BI/analytics experience (Power BI, Tableau, Looker, semantic modelling, advanced analysis).
• Solid data modelling knowledge (dimensional; Data Vault a bonus).
• Experience working with data engineers, architects and cross-functional teams.
• Strong stakeholder communication skills at all levels.
• Comfortable leading iterative delivery using Agile practices.
• Exposure to tools such as dbt, Airflow/ADF/Dagster, Snowflake/Databricks/Fabric, and metadata/governance systems is beneficial.

Ready to Lead in a Role with Real Influence?

If you want ownership, visibility and the chance to shape analytical outcomes across major data programmes, this is a brilliant next step.Apply now or send your CV directly!