At a Glance
- Tasks: Analyse data to support decision-making and lead complex analytics projects.
- Company: LexisNexis, a global leader in data and analytics.
- Benefits: Generous holiday, health benefits, flexible hours, and extensive learning resources.
- Other info: Promotes work/life balance with wellbeing initiatives and volunteer opportunities.
- Why this job: Make an impact with data-driven insights and innovative analytics tools.
- Qualifications: Degree in Data Analytics or related field; experience in analytics and data visualisation.
The predicted salary is between 36000 - 60000 £ per year.
About Team
LexisNexis is a data and analytics company with 10,500 colleagues serving customers in more than 150 countries. We are one of the largest information and analytics companies on the planet. We design solutions that help our customers increase productivity, improve decision‐making and outcomes, and be more successful.
About the role
The senior data analyst consults with internal stakeholders to clarify business problems, gather requirements, and collect, analyze, and interpret data to support data-driven decisions. This role develops advanced insights and recommendations within their domain and uses analytics tools to curate data, build models, create visualizations, and communicate findings to business audiences. The Sr. Data Analyst independently leads high‐complexity analytics projects and mentors junior analysts.
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 the data consumer where they are in their data literacy journey.
Requirements
- Bachelor's or Master's degree in Data Analytics, Data Science, Mathematics, or a related field; or equivalent practical experience.
- Significant experience in analytics, reporting, or data science‐adjacent roles.
- Ability to understand complex data structures and apply advanced data preparation, blending, refinement, and quality techniques.
- 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.
- 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.
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 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.
Working for you
We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
- Generous holiday allowance with the option to buy additional days.
- Health screening, eye care vouchers and private medical benefits.
- Access to a competitive contributory pension scheme.
- Save As You Earn share option scheme.
- Travel Season ticket loan.
- Electric Vehicle Scheme.
- Maternity, paternity and shared parental leave.
- Employee Assistance Programme.
- Access to emergency care for both the elderly and children.
- RECARES days, giving you time to support the charities and causes that matter to you.
- Access to employee resource groups with dedicated time to volunteer.
- Access to extensive learning and development resources.
- Access to employee discounts scheme via Perks at Work.
About the Business
LexisNexis Legal & Professional are a leading global provider of legal and regulatory intelligence. We give organisations the business information and analytics they need to make better decisions. We are building powerful new decision tools that use machine learning, natural language processing, visualisation and artificial intelligence that aid and enhance decision making.
Senior Data Analyst in London employer: LexisNexis
At LexisNexis, we pride ourselves on being an exceptional employer that values the well-being and professional growth of our employees. Our flexible working hours, generous holiday allowance, and comprehensive benefits package, including health screening and a competitive pension scheme, create a supportive environment where you can thrive. With a strong focus on employee development and opportunities to engage in meaningful projects, you'll find a rewarding career path in our dynamic data and analytics team located in a vibrant setting.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to current employees at LexisNexis on LinkedIn or through mutual connections. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Prepare for the interview by diving deep into data analytics trends and tools. Brush up on SQL and Python, and be ready to showcase your skills with real-world examples. We want to see how you think and solve problems!
✨Tip Number 3
Don’t just talk about your experience; show it! Bring along a portfolio of your best data visualisations and projects. This will help us see your analytical prowess in action and how you communicate findings.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us. Let’s make it happen!
We think you need these skills to ace Senior Data Analyst in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Senior Data Analyst. Highlight your experience with SQL, Python, and data visualisation tools like Tableau or Power BI. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data analytics and how you can contribute to our team. Don’t forget to mention any relevant projects or achievements that showcase your expertise.
Showcase Your Analytical Skills:In your application, include examples of how you've tackled complex data problems in the past. We love seeing how you’ve used data to drive decisions and create impactful insights. Be specific about the tools and methods you used!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at LexisNexis
✨Know Your Data Inside Out
Before the interview, dive deep into your past projects and be ready to discuss specific data sets you've worked with. Be prepared to explain how you transformed and analysed this data, as well as the insights you derived from it. This will show your expertise and ability to handle complex data structures.
✨Master the Tools of the Trade
Familiarise yourself with SQL, Python, and any data visualisation tools like Tableau or Power BI. During the interview, highlight your experience using these tools to solve business problems. If possible, bring examples of dashboards or visualisations you've created to demonstrate your skills.
✨Communicate Clearly and Effectively
Practice explaining complex data concepts in simple terms. The ability to communicate findings to non-technical stakeholders is crucial. Prepare a few narratives that showcase how your analyses have led to actionable business decisions, and tailor your language to suit your audience.
✨Showcase Your Project Management Skills
Be ready to discuss how you've managed multiple analytics projects simultaneously. Highlight your ability to structure work into modular tasks, meet deadlines, and resolve blockers. This will demonstrate your strong project execution skills, which are essential for the Senior Data Analyst role.
