Senior Sales Analyst

Join to apply for the Senior Sales Analyst role at RELXGet AI-powered advice on this job and more exclusive features.About The Business LexisNexis® Risk Solutions provides customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. We use the power of data and advanced analytics to help our customers make better, timelier decisions. By bringing clarity to information, we ultimately help make communities safer, insurance rates more accurate, commerce more transparent, business decisions easier and processes more efficient. You can learn more about LexisNexis Risk at the link below, https://risk.lexisnexis.com/About The Team At Data Services, (part of the Risk division of RELX, a FTSE 20 business), our expertise delivers the trusted data and insights to power decisions that enable organizations and professions to confidently transform and shape their rapidly evolving world. We are a fast growth portfolio of specialised businesses that relies on a continuous focus on high performance, innovation and the best people, to maximise the value we deliver to customers to solve some of the world’s most important problems.About The Role The Sales Operations team is in a transformative phase, moving into our second full year in the business. We are looking for enthusiastic data professionals who are eager to embrace managing change to support our sales leaders. The focus will be on leading indicators of performance to sustain our sales growth path as well as supporting the provision of insights and data support for our other Centres of Excellence. As a senior member of the team, you will be guiding best practices in managing data models that support this objective, as well as getting deeply involved in leveraging AI to enhance the accuracy of complex models, ensuring the business aligns on a single source of truth.ResponsibilitiesCreate and manage data models and data warehousing solutionsWrite and maintain structured queriesUtilise programming languages like Python, SQL for data processing tasksEnablement of integration of apps / services and connecting to internal and third-party APIsCollaborate with cross-functional teams to ensure seamless integration of data processesOptimise data pipelines for performance and efficiencyWork closely with Stakeholders and other analysts to support their insight & data needsBuild pipelines to transform raw, unstructured data into useful information by leveraging AI and LLMsRequirementsProven experience in data engineering and proficient in designing and implementing scalable data architectures.Strong experience with ETL processes, data modelling, and data warehousing (azure, databricks)Expertise in database technologies, both relational (SQL) and NoSQL.Knowledge of cloud platforms (Azure/AWS)Solid understanding of data security measures and compliance standards.Collaborative skills to work closely with data scientists and analystsAbility to optimize data pipelines for performance and efficiency.Ability to build, test and maintain tasks and projectsExperience with version control systems, like Git.Working For YouGenerous holiday allowance with the option to buy additional daysHealth screening, eye care vouchers and private medical benefitsWellbeing programsAccess to a competitive contributory pension schemeSave As You Earn share option schemeTravel Season ticket loanElectric Vehicle SchemeOptional Dental InsuranceMaternity, paternity and shared parental leaveEmployee Assistance ProgrammeAccess to emergency care for both the elderly and childrenRECARES days, giving you time to support the charities and causes that matter to youAccess to employee resource groups with dedicated time to volunteerAccess to extensive learning and development resourcesAccess to employee discounts scheme via Perks at WorkSeniority levelMid-Senior levelEmployment typeFull-timeJob functionSales and Business DevelopmentIndustries: Technology, Information and MediaLondon, United Kingdom #J-18808-Ljbffr