About this role
Salary: £60,000 - 110,000 per year
Requirements: Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL, or similar technologiesExperience with data visualization using Tableau, QuickSight, or similar toolsExperience with one or more industry analytics visualization tools such as Excel, Tableau, QuickSight, MicroStrategy, or Power BIExperience with statistical methods such as t-test and chi-squaredExperience with a scripting language such as Python, Java, or RExperience with SQLExperience in the data/BI spaceKnowledge of data modeling and data pipeline designExperience with statistical analysis and correlation analysisMasters degree or advanced technical degree is preferred Responsibilities: Work with large datasets and distributed computing technologiesAnalyze large volumes of data in highly complex technical contextsDesign data models, ETL solutions, and business intelligence outputsWork hands-on with columnar databases such as Redshift and related AWS technologiesPartner with customers to identify strategic opportunities in decision intelligenceUse AI-assisted development tools such as Kiro and Claude to accelerate pipeline development, data analysis, and automationBuild AI skills and agents within the Amazon internal ecosystem, including AIM and MCP integrationsSurface data insights through AI-powered experiences such as Amazon Q and Quick AI featuresExplore agentic architectures, including AgentCore and Strands Agents, for complex data workflowsExtend AI tools by creating reusable components and proactively applying AI to business problemsWork as a self-starter in a fast-paced team that continuously learns and evolves Technologies: AIAWSRedshiftBusiness IntelligenceETLExcelJavaMCPNoSQLOraclePower BIPythonSQLTableauCloudAI AgentsSupportSecurity More:
We operate heavily within the agentic and generative AI space, combining traditional BI expertise with a builder mindset toward Amazons AI ecosystem. We value curiosity, innovation, and a passion for data and analytics. Our team works in a fast-paced, collaborative environment where we think big, pay careful attention to detail, and continuously learn and evolve. We are an equal opportunities employer and value diversity, inclusion, and privacy in our hiring process.
last updated 36 week of 2026