At a Glance
- Tasks: Transform complex data into actionable insights that drive business growth.
- Company: Join LexisNexis® Risk Solutions, a leader in data analytics and decision tools.
- Benefits: Competitive salary, flexible working options, and opportunities for professional development.
- Other info: Collaborative team environment with a focus on data-driven culture.
- Why this job: Make a real impact by influencing decisions with your analytical skills.
- Qualifications: Strong SQL skills and experience with analytics tools required.
The predicted salary is between 35000 - 45000 £ per year.
Are you passionate about turning complex data into clear, commercial insights that drive growth? 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 will be part of a team that focuses on delivering measurable impact through analysis, experimentation, and strategic insight. You will translate data into clear recommendations, partner across teams, and help drive a culture of data-informed decision making.
- Lead multi-source analysis across acquisition, engagement, retention, and lifecycle to identify growth drivers and trends
- Automate reporting and performance narratives
- Diagnose journey performance (triggers, paths, drop-offs, fatigue) and recommend optimisation actions
- Partner with MarTech, Data Engineering, and Ops to ensure scalable, high-quality data and governance
- Translate analytics into clear commercial recommendations influencing campaigns and investment decisions
- Mentor analysts and promote a data-driven culture across the marketing function
- Advanced SQL and strong experience with analytics tools, statistical methods, and enterprise dashboards
- Expertise in A/B & MVT testing, attribution models, lifecycle metrics, and causal analysis
- Experience with CDPs, journey orchestration, segmentation, and identity/data privacy practices
- Strong skills in data visualisation tools (e.g., Power BI, Tableau, Oracle Analytics) and advanced Excel
- Proven ability to convert complex data into clear, actionable insights for senior stakeholders
- Solid understanding of data governance, quality, and GDPR-compliant data handling
- Commercial mindset with experience influencing decisions in complex/global environments
Data Analyst - Data Analityk employer: LexisNexis Risk Solutions
At LexisNexis® Risk Solutions, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our Data Analysts play a crucial role in transforming complex data into actionable insights, contributing to meaningful projects that enhance community safety and operational efficiency. With a strong emphasis on employee growth, we offer extensive training opportunities, mentorship, and the chance to work with cutting-edge technology in a dynamic environment that values data-driven decision making.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst - Data Analityk
✨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 LexisNexis Risk Solutions!
✨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 Data Analyst - Data Analityk at LexisNexis Risk Solutions.
✨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 LexisNexis Risk Solutions.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst - Data Analityk at LexisNexis Risk Solutions, 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 Data Analyst - Data Analityk
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 LexisNexis Risk Solutions, 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 LexisNexis Risk Solutions. 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 LexisNexis Risk Solutions
✨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 LexisNexis Risk Solutions!
✨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.
