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For Companies At a Glance
- Tasks: Analyse data to solve business problems and support data-driven decisions.
- Company: Join LexisNexis, a global leader in data and analytics.
- Benefits: Enjoy generous holidays, health perks, and flexible working hours.
- Why this job: Make an impact with data while developing your skills in a supportive environment.
- Qualifications: Degree in Data Analytics or related field; experience with SQL and Python required.
- Other info: Great career growth opportunities and a focus on wellbeing.
The predicted salary is between 36000 - 60000 £ per year.
Do you enjoy working with data? Are you a problem solver?
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.
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
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.
- Wellbeing programs.
- Life assurance.
- Access to a competitive contributory pension scheme.
- Save As You Earn share option scheme.
- Travel Season ticket loan.
- Electric Vehicle Scheme.
- Optional Dental Insurance.
- 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, more impactful decisions.
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 any characteristic protected by law.
Global Operations Senior Data Analyst I in London employer: Dataanalystjobs
Contact Detail:
Dataanalystjobs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Global Operations Senior Data Analyst I in London
✨Tip Number 1
Network like a pro! Reach out to current employees at LexisNexis on LinkedIn or through mutual connections. Ask them about their experiences and any tips they might have for landing the role. Personal connections can make a huge difference!
✨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 discuss how you've used these in past projects. Show us your problem-solving skills with real examples!
✨Tip Number 3
Don’t just talk about your skills; demonstrate them! If you can, create a portfolio of data visualisations or analyses that showcase your abilities. This will help us see your potential and how you can contribute to our team.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you're genuinely interested in being part of the LexisNexis family. Let’s get you started on this exciting journey!
We think you need these skills to ace Global Operations Senior Data Analyst I in London
Some tips for your application 🫡
Show Your Data Passion: When you're writing your application, let your love for data shine through! Share specific examples of how you've tackled complex data problems and the impact your insights had on decision-making.
Tailor Your Application: Make sure to customise your application to highlight the skills and experiences that align with the role. Use keywords from the job description to show that you understand what we're looking for in a Global Operations Senior Data Analyst I.
Be Clear and Concise: Keep your writing clear and to the point. Avoid jargon unless it's relevant, and make sure your application flows well. We want to see your analytical skills reflected in how you present your thoughts!
Apply Through Our Website: Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Dataanalystjobs
✨Know Your Data Tools
Make sure you’re well-versed in SQL and Python, as these are crucial for the role. Brush up on your data querying and transformation skills, and be ready to discuss specific projects where you've used these tools effectively.
✨Understand the Business Context
Before the interview, research LexisNexis and its analytics solutions. Be prepared to explain how your analytical insights can drive business decisions and improve outcomes for their clients. This shows that you’re not just a data whiz but also understand the bigger picture.
✨Prepare Compelling Visuals
Since creating clear data visualisations is part of the job, bring examples of your previous work. Whether it’s dashboards from Tableau or Power BI, having tangible examples will help you demonstrate your skills and make a lasting impression.
✨Showcase Your Project Management Skills
Be ready to discuss how you manage multiple analytics projects simultaneously. Highlight your ability to structure tasks, communicate progress, and resolve blockers. This will show that you can handle the high-complexity projects expected in this role.
