Global Operations Senior Data Analyst I
Global Operations Senior Data Analyst I

Global Operations Senior Data Analyst I

Full-Time 28800 - 48000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Analyse data to solve complex business problems and support data-driven decisions.
  • Company: Join LexisNexis, a global leader in data and analytics with a collaborative culture.
  • Benefits: Enjoy generous holiday allowance, health benefits, flexible working hours, and extensive learning resources.
  • 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 in analytics and data visualisation tools required.
  • Other info: Work-life balance is a priority, with numerous wellbeing initiatives and career growth opportunities.

The predicted salary is between 28800 - 48000 £ per year.

Are you a problem solver? Do you enjoy working with data?

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 (e.g. chatbot/genie for metrics questions, reusable dashboards).

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 (including big data).
  • 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 (e.g., Databricks or equivalent).
  • 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.

Benefits:

  • 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 building powerful new decision tools that use machine learning, natural language processing, visualisation and artificial intelligence that aid and enhance decision making. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits.

Global Operations Senior Data Analyst I employer: LexisNexis

At LexisNexis, we pride ourselves on being an exceptional employer that values innovation and employee well-being. Our collaborative work culture fosters professional growth through mentorship and extensive learning resources, while our generous benefits package, including flexible working hours and wellbeing initiatives, ensures a healthy work-life balance. Join us in our mission to empower decision-making with data-driven insights in a supportive environment that champions your success.
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Contact Detail:

LexisNexis Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Global Operations Senior Data Analyst I

✨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 those interviews! 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

Show off your data visualisation skills! Create a portfolio of dashboards or projects that highlight your ability to turn data into compelling stories. This will set you apart from other candidates!

✨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, we love seeing candidates who are proactive about their job search!

We think you need these skills to ace Global Operations Senior Data Analyst I

Data Analysis
Problem-Solving Skills
Statistical Methods
Data Preparation
SQL
Python
Data Visualisation
Tableau
Power BI
Project Management
Advanced Analytics
Big Data Techniques
Mentoring
Communication Skills
AI Tools

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with data analytics and problem-solving. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects!

Showcase Your Data Skills: Since this role is all about data, be sure to mention your experience with SQL, Python, and any data visualisation tools like Tableau or Power BI. We love seeing how you’ve used these tools to drive insights in past roles.

Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use clear language to describe your achievements and how they relate to the responsibilities of the role. We appreciate clarity!

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 position. Plus, it’s super easy!

How to prepare for a job interview at LexisNexis

✨Know Your Data Tools

Make sure you’re well-versed in SQL, Python, and any data visualisation tools like Tableau or Power BI. Be ready to discuss how you've used these tools in past projects, as this will show your practical experience and problem-solving skills.

✨Understand the Business Context

Before the interview, research LexisNexis and its role in the data and analytics space. Understand their products and how they help customers make better decisions. This knowledge will help you tailor your answers to demonstrate how you can meet their specific needs.

✨Prepare for Scenario Questions

Expect questions that ask you to solve hypothetical business problems using data. Practice structuring your thought process and explaining your approach clearly. This will showcase your analytical skills and ability to communicate complex ideas effectively.

✨Showcase Your Mentorship Skills

Since the role involves mentoring junior analysts, be prepared to discuss any previous experiences where you’ve guided others. Highlight your leadership style and how you can contribute to building a collaborative team environment.

Global Operations Senior Data Analyst I
LexisNexis

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