At a Glance
- Tasks: Analyse data to boost sales productivity and support business decisions.
- Company: Join LexisNexis Risk Solutions, a leader in risk assessment and data insights.
- Benefits: Enjoy country-specific benefits that prioritise your well-being and career growth.
- Other info: Collaborative environment with opportunities for learning and professional development.
- Why this job: Make an impact by solving real-world problems with data-driven insights.
- Qualifications: Strong analytical skills, data literacy, and proficiency in coding languages like SQL.
The predicted salary is between 35000 - 45000 £ per year.
About the Business
LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management.
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
We are looking for an enthusiastic, analytical, and commercial problem solver to join our team. As a Sales Analyst you will work cross‑functionally with Sales, Finance and other stakeholders to improve the productivity of the sales team. You have excellent communication, analytical and data manipulation skills to exercise impact and increase the effectiveness of the sales organisation. In addition, you also have experience in data visualization and have proficient coding skills. The ideal candidate must be detail‑oriented, data‑driven, and have excellent analytical skills. Creating partnerships with sales leadership and building efficient, scalable sales processes and deep customer insights will be critical to success in this role.
Responsibilities
- Supporting business through data analysis and research
- Running data insights covering sales pipeline as well as closed deals
- Creating data documentation including processes and data dependencies
- Conducting data review and verification and ensures corrections clarifications are made in a timely manner
- Providing data literacy problem solving to less technical teams (Business Partners, Sales, Customer Success etc)
- Resolving and/or guiding data sources in resolving basic data issues within specific functional area or data type.
Requirements
- Display excellent data literacy, communication, and interpersonal skills with great attention to detail
- Have the ability and desire to learn new processes, tools, and technologies
- Have excellent proofreading skills demonstrating facts can be linked together to create more meaningful conclusions
- Show proficiency with data transformation tools, analysis tools and processes
- Display proficiency with various data types and formats including, but not limited to: XML, flat files
- Demonstrate proficiency with development languages such as SQL, UNIX, Linux, XML, HPCC, etc
- Display good experience in data management area with an analytical competency demonstrated
Benefits
We know your well‑being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
EEO Statement
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
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