Job Description
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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. xsngvjr Apply now or send your CV directly!