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.
Sales Analyst employer: RELX INC
LexisNexis Risk Solutions is an exceptional employer that prioritises employee well-being and professional growth, offering a dynamic work culture where innovation thrives. As a Sales Analyst, you will benefit from a collaborative environment that encourages cross-functional partnerships and provides access to cutting-edge tools and technologies, ensuring you can make a meaningful impact in the assessment of risk. With a commitment to diversity and inclusion, along with tailored country-specific benefits, LexisNexis fosters a supportive atmosphere for all employees to excel in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Sales Analyst
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like RELX INC!
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like RELX INC.
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We think you need these skills to ace Sales Analyst
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at RELX INC, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at RELX INC. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at RELX INC
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at RELX INC!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
