At a Glance
- Tasks: Analyse data to support sales and improve business strategies.
- Company: Join LexisNexis Risk Solutions, a leader in risk assessment.
- Benefits: Competitive salary, growth opportunities, and a dynamic work environment.
- Other info: Be part of a fast-growing team focused on innovation and high performance.
- Why this job: Make an impact by solving real-world problems with data insights.
- Qualifications: Strong analytical skills and proficiency in data manipulation and coding.
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.
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.
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.
Qualifications and Skills
- 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 competencies demonstrated
Sales Analyst in City of Westminster employer: RELX Group
LexisNexis Risk Solutions is an exceptional employer that fosters a culture of innovation and high performance, making it an ideal place for a Sales Analyst to thrive. With a commitment to employee growth, we offer extensive training opportunities and a collaborative environment where your analytical skills can make a real impact on solving critical global challenges. Located within the dynamic Risk division of RELX, a FTSE 20 company, you will be part of a fast-paced team dedicated to delivering trusted data insights that empower businesses to succeed.
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We think this is how you could land Sales Analyst in City of Westminster
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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 Group.
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We think you need these skills to ace Sales Analyst in City of Westminster
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 Group, 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 Group. 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 Group
✨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!
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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 Group!
✨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.
