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- Tasks: Analyse data, create visualisations, and lead complex analytics projects.
- Company: Join LexisNexis, a global leader in data and analytics.
- Benefits: Generous holiday, health benefits, flexible hours, and learning resources.
- Why this job: Make impactful decisions with cutting-edge tools and mentor junior analysts.
- Qualifications: Degree in Data Analytics or related field; strong SQL and Python skills.
- Other info: Promote work/life balance with wellbeing initiatives and community support.
The predicted salary is between 36000 - 60000 £ per year.
About our Team: LexisNexis is a data and analytics company with 10,500 colleagues serving customers in more than 150 countries. We’re 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 I 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.
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.
Benefits:
- Generous holiday allowance with the option to buy additional days.
- Health screening, eye care vouchers and private medical benefits.
- Life assurance.
- 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.
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, more impactful decisions.
Senior Data Analyst employer: LexisNexis
Contact Detail:
LexisNexis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst
✨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. Brush up on your SQL and Python skills, and be ready to discuss how you've tackled complex data problems in the past. We want to see your analytical thinking in action!
✨Tip Number 3
Showcase your projects! Bring along examples of your data visualisations and models. We love seeing how you communicate findings and make data-driven decisions. It’s all about demonstrating your impact!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows us you’re genuinely interested in joining the team at LexisNexis.
We think you need these skills to ace Senior Data Analyst
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with data analytics, SQL, and Python. We want to see how your skills align with the role of Senior Data Analyst, so don’t hold back on showcasing your relevant projects!
Showcase Your Analytical Skills: In your application, give examples of how you've tackled complex data problems in the past. We love seeing candidates who can demonstrate their ability to analyse data and derive actionable insights, so share those success stories!
Keep It Clear and Concise: When writing your application, clarity is key! Use straightforward language and avoid jargon where possible. We appreciate a well-structured application that makes it easy for us to see your qualifications and fit for the role.
Apply Through Our Website: We encourage you to submit your application directly through our website. This way, you’ll ensure it reaches the right people and you’ll have access to all the latest updates about your application status. 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 involving data analysis. Be ready to discuss specific datasets you've worked with, the challenges you faced, and how you overcame them. 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. Prepare to demonstrate your proficiency in these tools during the interview, perhaps by discussing a project where you used them to derive insights or create compelling visualisations.
✨Understand the Business Context
Research LexisNexis and understand their business model and the types of analytics they focus on. Be prepared to discuss how your analytical skills can directly contribute to their goals and how you can support stakeholders in achieving measurable outcomes.
✨Showcase Your Project Management Skills
Be ready to talk about how you manage multiple analytics projects simultaneously. Discuss your approach to scoping, planning, and meeting deadlines, as well as how you communicate progress and resolve blockers. This will highlight your strong project execution skills.
