Average Analytics Consultant salary in London

Based in London, our client is looking for an experienced data analyst to join their team as a Senior Analytics Consultant on a permanent and hybrid-working basis, with 2 days at home per week (Mon and Fri). This job would suit someone with at least 3 years' experience in data analytics using mainly SQL, with Python as well, with strong client facing skills and previous experience in driving commercial impact through the data on projects. This person will be responsible for delivering analytical and revenue management solutions within the hotel, holiday and travel sectors, with opportunities to lead both projects and product development. This company works with organisations to improve performance and decision-making by turning complex information into actionable insight. With experience across a range of industries, they help clients tackle operational and strategic challenges using a mix of technical know-how and practical business understanding. With recent success and growth having been seen within the hospitality sector, they are looking to expand the team due to the expansion of some key projects. The successful individual will have a strong data analytics background in a role where they are interpreting business data and interpreting how this affects the business and what can be ascertained from this. Excellent communication skills are a must due to the ongoing communications both internally and with external clients. Strong hands-on experience using SQL for multi-step/complex analytics is essential for this role. Experience in cloud platforms (GCP - BigQuery, Azure -Synapse, Snowflake) and exposure to data science tools/languages such as Python, dbt, D3, Github, GCP/AWS would be advantageous. (This is not a technical advanced data science role so advanced experience in these will not be relevant). Experience in the travel, hotel, holiday or related sectors is beneficial, but not essential and knowledge of revenue management Duties will include: Hands on analysis in commercially impactful topics around pricing, demand, web performance, impact of competitor actions, customer behaviourBuilding data transformation pipelines to support analytics and modelling often over large datasetsGathering project and requirements from clients/stakeholders and designing solutions/deliverablesPresenting project plans, deliverables & analysis to clientsDeveloping commercial analytics solutions in the travel sectorBuilding commercial credibility in Revenue Management, Competitor Insight and Customer BehaviourScaling and productising solutions in a multi-client environmentWorking alongside software development team to help productionise tools in solutionsReviewing & improving forecasting solutions and pipelines This is an exciting opportunity for an experienced data analyst to make a commercial difference and with the opportunity for additional responsibilities to come in the future as the company continues to develop its project offering. For more information about this role or any other Senior Analytics Consultant jobs in London, please contact me in confidence or visit our website www.mrkassociates.co.uk Every application will receive a response as this is the recognised working practice at MRK Associates. MRK Associates - AGY Helping you build the career you deserve

Duration - April 2026 As an Analytical Consultant in Large Customer Sales, you will serve as a strategic advisor, providing valuable insights to clients and agencies to help grow their businesses. Using your critical thinking, problem-solving, and communication skills, you will influence informed decision-making with our most advanced customers. Key Responsibilities: Leverage advanced data analytics to develop solutions and uncover opportunities that address clients' business and marketing challenges, driving long-term growth and customer satisfaction.Advise client partners on best practices for marketing and media analytics, data integration, and customer segmentation.Implement best-in-class measurement solutions and guide customers through industry standards and alternative approaches.Build and present data-driven business and media solutions to customers, based on industry trends and consumer insights.Cultivate relationships with marketing analytics counterparts, earning their trust and influencing key decisions.Collaborate with internal and external teams (product, research, data, and measurement) to deliver comprehensive analytical and measurement capabilities to customers. Minimum Qualifications: Bachelor's degree or equivalent practical experience.Proven experience in an analytical, research, or project management role, working with data to identify and communicate trends.Experience in digital marketing. Preferred Qualifications: Expertise in analyzing customer and market data to generate actionable insights and drive business objectives.Ability to create and deliver impactful presentations to both executive and operational teams.Strong ability to manage relationships with internal and external stakeholders.Knowledge of marketing analytics, return on investment (ROI), financial modeling, and statistical analysis.Proficiency in working with databases, SQL, and data visualization tools.

Data Analytics Engineer - Python, SQL, Airflow, DBT Central London - 2 days a week in the office - hybrid working. £60,000 - £70,000 depending on experience + shares. We’re hiring on behalf of a fast-growing data consultancy that’s transforming how leading organisations make high-impact, data-driven decisions. This is a standout opportunity for an ambitious Data Analytics Engineer to take a leading role in shaping data systems whilst solving real-world business challenges. This isn’t just another engineering position. You’ll be sitting at the crossroads of data engineering, advanced analytics, and technical strategy. Whether it’s building robust data pipelines, architecting scalable workflows, or working hand-in-hand with clients to translate data into actionable insights, the work is cutting-edge. What You’ll Be Doing Designing, building, and optimising scalable data pipelines using Python, SQL, and AirflowLeading the technical delivery of projects across diverse industry verticalsCollaborating directly with clients to understand their data challenges and craft tailored solutionsProviding mentorship and technical guidance to junior team membersShaping best practices and driving innovation in how the team approaches analytics engineering What skills you need: Strong hands-on experience with Python (including libraries like Pandas/Numpy)Deep working knowledge of SQL for complex data querying and transformationProven experience working with orchestration tools such as AirflowA background in analytics or data engineering, ideally in client-facing or cross-functional teamsAbility to lead technical conversations and articulate solutions to non-technical stakeholdersA collaborative mindset and genuine curiosity around solving data challenges Tech Stack Snapshot Python, SQL, AirflowAWS, Azure, & GCP depending on the projectBonus: Experience with dbt, Snowflake, or Looker would be amazing, as this business use these tools. If you're ready to step into a role where you can lead, innovate, and make a tangible difference - this is it. Click "APPLY" to be considered. Data Analytics Engineer - Python, SQL, Airflow, DBT Central London - 2 days a week in the office - hybrid working. £60,000 - £70,000 depending on experience + shares.