Join to apply for the Senior Sales Analyst role at LexisNexis Risk Solutions

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're 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.

Responsibilities

• Create and manage data models and data warehousing solutions
• Write and maintain structured queries
• Utilise programming languages like Python, SQL for data processing tasks
• Enablement of integration of apps / services and connecting to internal and third-party APIs
• Collaborate with cross-functional teams to ensure seamless integration of data processes
• Optimise data pipelines for performance and efficiency.
• Work closely with Stakeholders and other analysts to support their insight & data needs.
• Build pipelines to transform raw, unstructured data into useful information by leveraging AI and LLMs

Requirements

• Proven 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 analysts
• Ability to optimize data pipelines for performance and efficiency.
• Ability to build, test and maintain tasks and projects
• Experience with version control systems, like Git.

Benefits

• Generous holiday allowance with the option to buy additional days
• Health screening, eye care vouchers and private medical benefits
• Access to a competitive contributory pension scheme
• Save As You Earn share option scheme
• Travel Season ticket loan
• Electric Vehicle Scheme
• Maternity, paternity and shared parental leave
• Employee Assistance Programme
• Access to emergency care for both the elderly and children
• RECARES days, giving you time to support the charities and causes that matter to you
• Access to employee resource groups with dedicated time to volunteer
• Access to extensive learning and development resources
• Access to employee discounts scheme via Perks at Work

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Analyst and Sales

Industries

Technology, Information and Media

Location: London, England, United Kingdom