Average Analytics Manager salary in City of London

As the Head of Analytics, you’ll take the lead in driving Sagacity’s analytics services, working closely with key stakeholders across the organisation. This is a dynamic, high-impact role where your leadership, communication, and organisational skills will ensure the seamless delivery of analytics solutions that meet and exceed client expectations. We’re looking for a proactive, self-motivated leader who thrives in a fast-paced environment and is passionate about turning data into business value. Principal responsibilities will involve: Management of the analytics team including identifying and assigning specialist resource to deliver the client projects and right-sizing / right skilling the analytics team to ensure projects are delivered in accordance with agreed client commitmentsLine management and coaching of a team of specialist data analysts and data scientists for the provision of analytical servicesOwnership and management of key client relationships for the delivery of analytical projectsLead and actively participate in the hands-on delivery of analytics projects, including data exploration, modelling, visualisation, data storytelling and drawing out actionable recommendations for our clientsQuality assurance of key client deliverables ensuring Sagacity’s quality standards are metOwn the overall analytics strategy, setting the vision and roadmap while leading the evolution of analytics and data science capabilities to drive innovation and business impactWorking with the cross functional teams to provide insights for new products, product enhancements and technical development roadmaps based-on learnings from the client engagement activities balancing the business / customer needs with technical / project constraints and timelinesProvision of client insights to inform future sales and customer engagement activities • Provision of reporting to the PMO in accordance with Sagacity’s delivery governance About the team you would be managing: Our Data Analysts and Data Scientists: Are experts in turning large quantities of complex client data into insights which can be used to inform decision making and drive business benefitAre experienced in producing data visualisations, detailed reporting and analytics underpinned with clear business commentaryApply advanced statistical techniques such as ML algorithms to deliver client outcomesInvest in research and development to keep up to date with the latest analytical and data science techniques in this rapidly evolving fieldBalance the technical and analytical demands of their role with the need for strong engagement with our clients and consultants alikeConduct data analytics for complex data sets including our Tier 1 Telecoms / Utilities clients and provide insights into a range of focus areas including marketing services, customer eligibility, compliance, financial vulnerability, credit risk, collections, value based management, discounts and promotions Competencies: You will have excellent communication, planning, prioritisation, organisation and leadership skills. You will demonstrate strong commercial awareness, which promotes and protects the interests of both Sagacity and our clients alike. Key competencies and requirements include: Extensive management and leadership skillsAdvanced analytical expertise with strong applied technical and analytical skills across a range of analytical programming languages (e.g. SQL, • python) and visualisation tooling (e.g. Power BI, Tableau)Expertise in advanced data science methodologies, including machine learning (classification, regression, clustering)A curiosity for data insights, new and emerging technologies, and innovationDelivery focused; budget awareExcellent planning and reportingClear and transparent communicationDelivery and deadline drivenHave a keen eye for detailLogical and structured approachCritical thinking and problem solvingDecision-makingTeam player, approachable, likeableTrustworthyAdaptabilityAccountability, effectivenessStress tolerancePresentable, professional, punctualFlexible to work across multiple locations

About Crowe Crowe is a leading national audit, tax, advisory and consulting firm with global reach and local expertise. We are an independent member of Crowe Global, one of the top 10 accounting networks in the world, with access to more than 40,000 people in over 140+ countries and across more than 800+ offices globally. Our vision is to be recognised as essential to the future success of our clients by helping them to answer tomorrow’s questions and make smart decisions that have lasting value through the highest quality audit, tax, advisory and consulting services. Crowe is where talented people can realise their potential, are successful and enjoy what they do by making a positive difference to our clients, communities and each other. At Crowe, our aim is to create a community where regardless of gender, identity, sexuality, race, ethnicity, education or background, everyone is valued, can flourish and achieve their full potential. Role Overview: The Financial Audit Data Analytics Specialist will be integral to our financial audit team, utilising data analytics to enhance audit processes and outcomes. This role requires expertise in data extraction, analysis, and visualisation, aimed at supporting financial audits achieve higher quality, efficiency, and insight in in their audits, through the use of innovative data enabled audit delivery solutions. Key Responsibilities: Data Extraction and Analysis: Utilise tools such as Alteryx, SQL, and IDEA/ACL to extract and analyse data from ERP systems (MS Dynamics, NetSuite) and various accounting packages (Agresso, Sage, Xero).Solution Development: Design and implement data-driven solutions to address specific challenges faced by the financial audit team, including automating reconciliation processes and consolidating data for reporting.Business Analysis: Collaborate with financial audit teams to understand their specific issues and requirements. Use analytical skills to design and develop tailored data analytics solutions that effectively address these challenges.Data Requirements Understanding: Identify and clarify data requirements by engaging with clients to determine what data is needed and the specific asks from the client, ensuring that solutions are aligned with audit objectives.Data Visualisation: Create compelling visualisations using tools like Power BI to present analytical findings, making complex data insights accessible and actionable for audit teams and stakeholders.Collaboration: Work closely with audit teams to identify data needs and provide analytical support, ensuring that insights are relevant to audit objectives.Relationship Management: Build and maintain strong relationships with client contacts in finance and technical data roles, facilitating effective communication and collaboration.Reporting and Presentation: Present analytical findings and insights clearly, ensuring relevance in the context of audit objectives. Qualifications: Experience: At least 5 years of experience in data analytics, specifically supporting financial audits.Qualification - A professional accounting qualification (ACA, ACCA, CPA) is desirable.Technical Skills: Proficiency in Alteryx, SQL, and data analysis tools such as IDEA/ACL. Strong experience with ERP systems (MS Dynamics, NetSuite) and accounting software (Agresso, Sage, Xero).Data Visualisation Skills: Experience with data visualisation tools (e.g., Tableau, Power BI) to create insightful dashboards and reports.Business Analyst Skills: Strong analytical skills with the ability to understand complex business problems and translate them into effective data solutions.Problem-Solving: Demonstrated ability to develop innovative data solutions that address complex audit challenges.Interpersonal Skills: Ability to collaborate effectively across teams and build strong relationships.Communication: Ability to convey complex data insights clearly through excellent verbal and written communication. Additional Responsibilities: Training and Mentorship: Provide guidance and support to junior team members in data analytics techniques and tools.Process Documentation: Maintain thorough documentation of data processes and solutions to ensure knowledge transfer and compliance with internal standards.Project Management: Participate in project planning and execution, ensuring timely delivery of data analytics support for audit engagements. Expectations: Demonstrate a proactive approach to identifying opportunities for data analytics to enhance audit efficiency and effectiveness.Contribute to a culture of continuous improvement within the audit team, sharing insights and best practices.

Head of Cyber Analytics£Competitive + Bonus & Benefits Location: Flexible (UK, Europe, North America, ANZ) / Hybrid Working A dynamic, fast paced, and collaborative global underwriting business is seeking a confident and accomplished cyber analytics leader to drive the development of cutting-edge cyber risk analytics and modelling capabilities. This is a unique opportunity to play a key role in building a best-in-class cyber underwriting proposition, partnering with senior stakeholders globally. This newly created position offers the chance to shape the global cyber analytics strategy. Working as part of a high-performing global team, you’ll use your expertise to develop actionable insights from a wide variety of data sources—ranging from modelling and pricing to incident response and real-time threat monitoring. You'll collaborate closely with underwriting, actuarial, and claims teams to refine strategy, optimise risk selection, and deliver a competitive edge in the cyber insurance market. Key Responsibilities: Lead the global cyber analytics strategy and enhance the business's position as a cyber market leader.Develop a data-rich platform to unlock insights across modelling, loss performance, and threat intelligence.Shape underwriting and distribution strategies based on advanced analytics.Collaborate with senior global leaders and regional teams to develop regional analytics capabilities.Evaluate cyber vendor models and build proprietary risk views.Guide strategic engagements with carrier and broker partners.Oversee cyber exposure management and support dynamic pricing strategies.Provide leadership on systemic risk and represent the business at industry events.Drive the adoption of next-gen analytics tools and platforms.Design impactful dashboards and reports using tools like Power BI. Key Requirements: Proven experience leading cyber analytics functions, ideally with expertise in cyber catastrophe vendor models (e.g. CyberCube, RMS).Deep understanding of performance metrics within a global insurance environment.Experience developing proprietary cyber risk models and delivering strategic insights to senior stakeholders.Advanced skills in SQL and Excel (including VBA); familiarity with Power BI and coding languages is advantageous.Strong commercial acumen, problem-solving ability, and excellent communication skills.A collaborative mindset, with the confidence to challenge and influence at all levels.Passion for innovation and continuous improvement in analytics capabilities. What’s on Offer: Competitive salary and benefits package.A genuinely collaborative, inclusive, and entrepreneurial environment.Opportunities to shape and influence the direction of a global cyber underwriting business.A culture where every voice is heard, and every individual can make a meaningful impact—both in the industry and in the community. For a full consultation on this pivotal role, send your CV today.