Average Analytics Manager salary in the UK

Analytics Solution Design - Contractor Opportunity??�????�?Let us introduce ourselves We're Intuita, a new kind of data partner. We're a collective of data-driven people ready to cut through complexity to solve business problems in a human-centric and sustainable way. We provide pragmatic end-to-end services, products and technologies combined with straight-talking strategic direction to unlock the true value of data and drive transformational change.?? The opportunity to contract with us;We're growing - fast - and have big ambitions across both the consultancy and technology spaces. In order to achieve these ambitions, we're seeking an Analytics based Solution Design Consultant to help in the support of our Analytical and AI discipline. This role will initially be on a contractor basis, but may attract the possibility of a longer-term, more permanent role as our team evolves.Directed by our Associate Director(s) and Managing Partner, this role will allow them to shape and take forward the overall discipline whilst allowing you to support their roles with day to day hands on activities, delivering analytical solutions at the highest level whilst remaining actively involved and hands-on with cutting-edge projects. You will ensure projects are moved forward in line with the aim of the discipline, whilst collaborating across our wider team on the solution(s) and project(s) supporting our team of talented professionals, collaborate with diverse clients, and play a pivotal role in delivering innovative AI-driven analytical solutions.This position is a great blend of hands-on technical expertise with client-facing responsibilities - the tasks expected would include:Project Delivery:o Lead the technical delivery of analytics and AI projects, ensuring alignment with client goals, timelines, and quality standards.o Work closely with clients to understand their business needs and provide actionable insights through data-driven solutions.o Leverage Python and SQL to build, optimise, and automate analytic models, ensuring data is processed efficiently and effectively.Data Analysis & AI Model Development:o Apply advanced analytics techniques, including machine learning, predictive modeling, and statistical analysis to solve complex business problems.o Develop AI-driven solutions tailored to the client's needs.o Maintain a focus on delivering practical solutions, ensuring models and insights lead to measurable client outcomes.Effective Communication & Storytelling:o Translate complex data and AI model outputs into clear, actionable insights for non-technical stakeholders.o Create compelling presentations and data visualisations, using tools like Power BI or Tableau, to tell the story behind the data.o Actively engage with stakeholders throughout the project lifecycle, ensuring they remain informed and aligned with the project goals.Innovation & Problem Solving:o Stay curious and constantly explore new analytics and AI methodologies and tools, bringing innovative solutions to clients.o Identify opportunities to improve processes and deliver higher value through automation or advanced analytics techniques.o Collaborate with internal teams to pilot and scale new AI solutions that enhance client outcomes.Client Management & Support:o Build strong relationships with clients, acting as a trusted advisor on analytics and AI.o Support business development efforts by identifying opportunities to expand existing accounts and presenting technical solutions to potential new clients.o Collaborate with cross-functional teams to ensure that all solutions meet the client's business requirements and are aligned with best practices.?? A bit about youBeing a consultant at Intuita means something a little different to being a consultant elsewhere, whether you are a contractor or permanent member of our team - we like to hire driven characters who share our passion and approach, bringing their style and flare. We see ourselves as trusted partners to our clients and believe in transparency, quality and integrity above all else, always pushing the boundaries to deliver the best outcomes for our clients. We also really value collaboration and teamwork, making sure we work together to solve problems and share learnings as a team.As a pivotal support to our team and goals, you'll not only share these values but demonstrate and lead by example, bringing your own personality and approach to our work.We're looking for someone with the following experience and qualities, but if you don't fit these exactly and are interested in working with us, get in touch anyway - we hire people, not job specs.- You will help to drive the design, implementation, and storytelling of data insights through analytics and AI models, ensuring clients derive tangible value from their data. - You must have a keen analytical mind, be an innovative problem-solver, and possess strong communication skills, capable of conveying complex insights in an engaging and understandable way.For this role, we'd expect:· An Innovative Problem Solver: Proactively identify and tackle complex client problems using cutting-edge analytics and AI solutions.· An Inquisitive & Curious mind: A passion for continuously learning and staying ahead of the curve in the fast-evolving AI and analytics field.· A Proven Strong Communicator: Able to explain technical concepts to a non-technical audience effectively, ensuring clients understand and value the insights provided.Your required skills & knowledge will include but not be limited to:· Python and SQL proficiency for data manipulation, analytics, and model building.· Experience with machine learning libraries· Strong ability to communicate complex concepts through data storytelling, using tools like Power BI or Tableau.· Proven track record in delivering analytics projects involving predictive modelling, machine learning, or AI.

Key Responsibilities: 1. Strategic Leadership: * Define and lead the data and analytics strategy to drive business growth across key functions, including product, marketing, customer retention, and business development. * Ensure data analytics efforts align with organizational objectives to enhance performance and growth. * Promote a culture of data-driven decision-making across the company. 2. Team Management: * Recruit, develop, and lead a high-performing data and analytics team, including data scientists, analysts, and engineers. * Encourage cross-functional collaboration to integrate data insights into product development, marketing, and operational strategies. * Oversee team hiring, training, and career development to build analytical expertise and capabilities. 3. Data Infrastructure & Systems: * Manage the development, maintenance, and optimization of data systems, pipelines, and analytics platforms for efficient data collection, processing, and reporting. * Partner with IT and engineering teams to enhance data architecture, ensuring data quality, consistency, and accessibility. 4. Analytics & Insights: * Utilize data analytics to identify growth opportunities and develop actionable strategies to enhance customer acquisition, retention, and lifetime value. * Lead advanced analytics, including predictive modeling, A/B testing, and statistical analysis, to optimize business performance. * Deliver regular reports and insights on key performance indicators (KPIs) to stakeholders across all levels. 5. Growth Optimization: * Leverage data insights to refine customer journeys, optimize product features, and enhance marketing channels to drive engagement and revenue. * Identify, track, and report on growth metrics such as conversion rates, customer behavior, and lifetime value. * Implement a continuous experimentation approach to improve efficiency and business results. 6. Cross-Functional Collaboration: * Partner with product and marketing teams to define success metrics, KPIs, and evaluation criteria for growth experiments. * Provide strategic insights and recommendations to executive leadership to inform business decisions. * Ensure seamless communication between data teams and other departments to achieve business goals. 7. Data Governance & Compliance: * Uphold data governance policies and maintain strict privacy and security standards across all data processes. * Stay informed on industry regulations regarding data privacy and ensure compliance in all data operations. Qualifications: Education: Bachelor's or Master's degree in Data Science, Statistics, Business Analytics, Economics, Computer Science, or a related field. Experience: * 5+ years of experience in data analytics, growth, or marketing analytics roles, with at least 3 years in a leadership position. * Strong experience leading data-driven growth initiatives, preferably in a high-growth tech or eCommerce company. * Proven track record of using data to drive measurable business results Preferred Qualifications: * Experience with growth hacking strategies and customer acquisition analytics. * Familiarity with machine learning models, data science, and AI techniques. * Experience with tools like Looker, Snowflake, or similar advanced analytics platforms. We request that candidates send their CV as a Microsoft Word document where possible. Quest Search and Selection is acting as an Employment Agency in relation to this vacancy.

We have partnered with the company that everybody wants to work for in the Lloyd's market to find them a Portfolio Analytics Manager. This is a great opportunity to work closely with an extremely impressive senior management team (Including the CUO who is an Actuary) and the best underwriters across Re/Insurance. The role is highly strategic and the successful person will drive an already hugely profitable book through portfolio analytics techniques. The role includes but is not limited to: Working for a company that prioritises actuarial input and hires actuaries straight into UW regularly. The business has a culture of utilising data for decision making from top to bottom.Reporting into, and working on a daily basis with the Chief Analytics Officer as well as dozens of other super talented people who are on the board of directors.Leading a small team of highly talented Portfolio Managers/Management analysts.Working closely with Underwriters, Actuaries, Data Scientists, Claims and Data/Tech teams to promote underwriting performance.Develop the portfolio analytics strategy and roadmap.Lead the design, delivery and embedding of pricing and analytics visualisation dashboard suites and other analytics tools to drive UW.Monitor portfolios, aid risk selection, strengthen pricing, challenge business planning amongst many other duties. This is a huge role and very crucial to the business so they need someone who can hit the ground running with a strong ability to drive profitability and good understanding of portfolio analytics.