At a Glance
- Tasks: Lead analytics initiatives to turn complex data into actionable insights that drive business growth.
- Company: Join LexisNexis Risk Solutions, a leader in data-driven decision-making.
- Benefits: Competitive salary, flexible work options, and opportunities for professional development.
- Other info: Be part of a dynamic team focused on measurable impact and career growth.
- Why this job: Make a real impact by shaping strategy and influencing decisions with data.
- Qualifications: Advanced SQL skills and experience with analytics tools required.
The predicted salary is between 50000 - 65000 £ per year.
Are you passionate about turning complex data into clear, commercial insights that drive growth? Do you enjoy leading analytics initiatives that shape strategy and influence decision-making at scale?
About the Business
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.
About the team
You will be part of a team that focuses on delivering measurable impact through analysis, experimentation, and strategic insight.
About the Role
In this role, you will lead advanced analytics to uncover insights across the customer lifecycle and support business growth. You will translate data into clear recommendations, partner across teams, and help drive a culture of data-informed decision making.
Responsibilities
- Lead multi-source analysis across acquisition, engagement, retention, and lifecycle to identify growth drivers and trends
- Design and maintain executive dashboards and KPI frameworks; 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
- Set and embed best practices in measurement, experimentation, and KPI design
- Mentor analysts and promote a data-driven culture across the marketing function
- Support strategic planning through insight-led portfolio and customer-value growth recommendations
Requirements
- 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
- Excellent communication and storytelling skills with focus on measurable business impact
Learn more about the LexisNexis Risk team and how we work here.
Senior Data Analyst in Slough 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 commitment to employee growth is evident through mentorship opportunities and a focus on data-driven decision-making, allowing you to make a meaningful impact in your role as a Senior Data Analyst. Located in a vibrant environment, we offer competitive benefits and the chance to work with cutting-edge technology, ensuring that our team members thrive both personally and professionally.
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We think this is how you could land Senior Data Analyst in Slough
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We think you need these skills to ace Senior Data Analyst in Slough
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!
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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.
