At a Glance
- Tasks: Transform complex data into clear insights and lead impactful analytics projects.
- Company: Join LexisNexis, a global leader in legal information and analytics.
- Benefits: Enjoy flexible hours, wellbeing initiatives, and study assistance.
- Other info: Work in a dynamic environment with opportunities for career growth.
- Why this job: Make a real impact with data while mentoring others and developing innovative solutions.
- Qualifications: Experience in SQL, Python, and data visualisation tools like Tableau or Power BI.
The predicted salary is between 55000 - 65000 £ per year.
Do you enjoy turning complex data into clear insights that drive better business decisions? Are you excited by solving challenging problems, leading impactful analytics projects, and helping others grow through data?
About our Team
LexisNexis Legal & Professional serves customers in more than 150 countries with 11,800 employees worldwide. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law.
About the Role
As a Senior Data Analyst I, you will partner with stakeholders to solve business challenges through data-driven insights. You will lead complex analytics projects, transform and analyze large datasets, and create compelling visualizations that support strategic decision-making. This role also provides the opportunity to mentor others, develop innovative data products, and leverage modern analytics and AI tools to deliver meaningful business outcomes.
Responsibilities
- Partner with stakeholders to understand business needs and identify the most relevant analyses, KPIs, and success measures.
- Support stakeholders in setting appropriate goals and defining measurable outcomes aligned to business objectives.
- Prepare and transform data using advanced blending, refinement, and quality techniques (including large/complex datasets).
- Apply statistical methods and intermediate data models/scenarios to evaluate trends, drivers, and potential outcomes.
- Create clear, compelling data visualizations and narratives tailored to the target audience.
- Lead and execute analytics projects independently, including scoping, planning, and managing deliverables to deadlines.
- Serve as a subject matter expert within an assigned domain and coach/mentor junior team members.
- Develop working knowledge of adjacent disciplines and how they influence analytics needs and interpretation.
- Leverage approved AI tools to accelerate analysis and deliverables while maintaining accountability for accuracy and quality.
- Develop data products that meet data consumers where they are in their data literacy journey.
Requirements
- Ability to understand complex data structures and apply advanced data preparation, blending, refinement, and quality techniques (including big data).
- Experience applying intermediate statistics to business problems.
- Significant experience leveraging SQL and Python for data querying, collection, transformation, and analysis.
- Experience with data visualization tools such as Tableau and/or Power BI; ability to design dashboards and narratives for business audiences.
- Familiarity with advanced analytics/data platforms (e.g., Databricks or equivalent).
- Strong project execution skills: able to structure work into modular tasks, manage multiple projects in parallel, communicate progress, and resolve blockers.
- Ability to craft effective prompts, iterate toward higher-quality outputs, and incorporate domain context and constraints.
- Experience in analytics, reporting, or data science-adjacent roles.
Work in a Way That Works for You
We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
Working Pattern
Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.
About the Business
LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know.
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.
Senior Data Analyst I employer: RELX
RELX is an excellent employer that values its employees by fostering a collaborative and inclusive work culture in the vibrant setting of Greater London. With generous holiday allowances, health screening benefits, and opportunities for professional growth, employees are encouraged to develop their skills while contributing to meaningful customer relationships in the SaaS industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst I
✨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!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Analyst I at RELX.
✨Leverage Professional Networks
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.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Analyst I at RELX, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Analyst I
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, 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. 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
✨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!
✨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.
