6 of 6 Remote/Hybrid Analytics Jobs in St Albans

social channels and community management tooling. Effective AI Usage: Demonstrated, practical fluency with modern AI tools (LLM-based writing/research assistants, AI-assisted analytics, content generation tools) and good judgment about when human review and accuracy checks are non-negotiable. Comfortable evaluating AI output critically rather than publishing ...

best practices - bidding strategies and best practices Excellent analytical skills to interpret data and adjust campaigns to meet objectives (proficiency in Google Analytics desired) A desire to see our clients succeed A strong attention to detail A growth mindset – you’ll be aware of your strengths and weaknesses and willing ...

Ability to manage multiple training projects simultaneously and coordinate with cross-functional teams. Additional Languages: Proficiency in other languages is a plus. Experience using analytics tools to measure training impact and derive insights for program improvements. Software Engineering Familiarity: A background in software engineering or experience working with developer-focused ...

Product Leadership: Drive the full product lifecycle within an Agile framework, leading cross-functional squads to deliver high-quality features in continuous cycles. User Analytics & Design: Lead the integration of advanced user analytics and partner with Design and User Research teams to create intuitive interfaces for complex scientific workflows. Stakeholder ...

Retail Human Resources plc is seeking a Merchandising Analyst for a 4-5 month fixed-term contract in St Albans. The role is hybrid (2 days in the office, 3 days at home) with a ...

Product Manager, Knowledge Platform drives strategy and development of Lightcast s knowledge-layer capabilities across taxonomy, ontology, analytics, and machine learning-powered data products. The role focuses on understanding customer problems, evaluating data and technical opportunities, and translating ambiguous challenges into clear product direction. Success requires strong product judgement, technical … feasibility, and validating opportunities. Translate complex data opportunities into clear product requirements, specifications, quality criteria, and investment decisions. Partner with engineering, data science, taxonomy, analytics, and commercial teams throughout product development. Balance customer value, data quality, technical feasibility, and business priorities when making product decisions. Communicate complex technical and data ...