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- Tasks: Analyse data to support decision-making and lead complex analytics projects.
- Company: Join LexisNexis, a global leader in data and analytics.
- Benefits: Enjoy flexible hours, generous holidays, and comprehensive health benefits.
- Why this job: Make an impact with cutting-edge analytics tools and mentor junior analysts.
- Qualifications: Degree in Data Analytics or related field; experience with SQL and Python required.
- Other info: Great career growth opportunities and a supportive work environment.
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 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 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
- 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.
Global Operations Senior Data Analyst I in London employer: LexisNexis Risk Solutions
Contact Detail:
LexisNexis Risk Solutions 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 the company’s data products and analytics tools. Familiarise yourself with SQL, Python, and visualisation platforms like Tableau or Power BI. Show us you know your stuff and can hit the ground running!
✨Tip Number 3
Practice your storytelling skills! When discussing your past projects, focus on how you used data to solve real business problems. We want to see how you can turn complex data into clear insights that drive decisions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at LexisNexis.
We think you need these skills to ace Global Operations Senior Data Analyst I in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Global Operations Senior Data Analyst role. Highlight your experience with SQL, Python, and data visualisation tools like Tableau or Power BI, as these are key to the position.
Showcase Your Projects: Include specific examples of analytics projects you've led or contributed to. Talk about how you tackled complex data problems and the impact your insights had on decision-making. This will show us your hands-on experience!
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon unless it's relevant. We want to see your ability to communicate findings effectively, just like you would in the role.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at LexisNexis Risk Solutions
✨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 Business Needs
Before the interview, research LexisNexis and its business objectives. Be prepared to explain how you would partner with stakeholders to identify relevant analyses and KPIs that align with their goals.
✨Showcase Your Visualisation Skills
Familiarise yourself with Tableau and Power BI, and think of examples where you’ve created compelling data visualisations. During the interview, be ready to discuss how you tailor narratives to different audiences.
✨Project Management Prowess
Highlight your project execution skills by discussing how you manage multiple analytics projects. Share specific examples of how you structure work, communicate progress, and resolve blockers to meet deadlines.
