> Markdown version of [/jobs/ext/3743116-senior-data-analytics-specialist-hybrid-london-up-to-65-000](https://www.wearedevelopers.com/jobs/ext/3743116-senior-data-analytics-specialist-hybrid-london-up-to-65-000). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data & Analytics Specialist | Hybrid London | Up to £65,000 - **Company:** Pearson Whiffin Recruitment Ltd - **Location:** London, UK - **Experience:** Expert - **Salary:** £60,000.0 - £65,000.0 - **Contract:** Permanent contract - **Skills:** Data Analysis, Big Data, Cloud Computing, Cloud Database, Data Architecture, Information Engineering, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Manipulation Languages, Data Transformation, Data Warehousing, Cloud Platform System, Sql Optimization, Data Analytics - **Published:** October 15, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5926468683 ## About the Role * Strong background in data engineering, BI, or analytics * Experience working with cloud data environments * Advanced SQL and data manipulation skills * Knowledge of data warehousing concepts and best practices * Experience with ETL, data transformation, or integration projects * Ability to communicate technical findings to non-technical stakeholders ## Description A growing organisation is looking for a skilled Data & Analytics Specialist to support the development of modern data platforms and deliver valuable business intelligence across the organisation. Working within a collaborative team, you'll be responsible for improving data architecture, enhancing reporting capabilities, and helping stakeholders make data-driven decisions. This role offers a blend of hands-on engineering and analytical work, with exposure to cloud-based technologies and large-scale datasets., * Develop and enhance data integration processes and workflows * Support cloud-based data platforms and storage solutions * Analyse large datasets to identify trends and opportunities * Create reliable data models and reporting solutions * Collaborate with business teams to understand data requirements * Ensure data quality, governance, and performance standards are maintained