Data Analyst in Buckland

Data Analyst in Buckland

Buckland Full-Time 45000 - 55000 € / year (est.) Home office (partial)
hackajob

At a Glance

  • Tasks: Analyse data to drive business decisions and enhance insights using AI tools.
  • Company: Join LexisNexis, a global leader in data and analytics.
  • Benefits: Enjoy flexible hours, generous holiday allowance, and wellbeing programs.
  • Other info: Opportunities for professional growth and community involvement.
  • Why this job: Make an impact with cutting-edge technology in a dynamic environment.
  • Qualifications: Degree in Data Analytics or related field; experience with SQL and Python.

The predicted salary is between 45000 - 55000 € per year.

hackajob is collaborating with LexisNexis to connect them with exceptional professionals for this role. 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: As a Data Analyst III, you will consult with internal stakeholders to understand problems, collect and analyze data to support data‑driven business decisions, and increasingly leverage AI‑enabled tools and techniques to enhance analysis and visualization. You will use data tools to collate, model, interpret, develop visualizations/information products, and communicate actionable insights to the business. Individuals in this role execute projects and initiatives with high complexity independently and contribute to the organization’s AI and analytics maturity.

Responsibilities:

  • Demonstrate understanding of best practices in analytics and AI‑assisted data workflows.
  • Execute on projects and initiatives independently, incorporating automation, generative AI tools, and machine learning‑assisted analytics where appropriate.
  • Provide support to analytics team members by sharing expertise in AI‑powered data preparation, visualization, and insight generation.
  • Lead analytics efforts of high complexity, ensuring scalability and reusability of solutions through AI‑augmented data pipelines and reporting tools.
  • Collaborate with stakeholders to understand their business needs and make data‑driven recommendations that may include AI‑enabled predictive or prescriptive insights.
  • Maintain commercial awareness and understanding of how AI and data trends are reshaping the market and customer expectations.
  • Create visual displays of data through selected tools and analytical packages, incorporating AI‑assisted storytelling and natural language insights.
  • Effectively lead and manage small/operational analytics projects, ensuring adoption of AI‑native best practices in workflow efficiency, accuracy, and governance.

Requirements:

  • Bachelor’s or Master’s Degree in Data Analytics, Mathematics, Computer Science, or equivalent work experience.
  • Ability to understand complex data structures and apply advanced blending and refinement techniques, including big data and AI‑assisted data preparation.
  • Significant experience leveraging SQL and Python for data querying and automation; familiarity with AI/ML libraries or APIs (e.g., OpenAI, scikit‑learn, or similar) is preferred.
  • Experience with visualization tools such as Tableau, Power BI, or AI‑augmented BI tools (e.g., Tableau Pulse, Power BI Copilot).
  • Intermediate to advanced understanding of statistics and practical machine learning concepts (classification, regression, clustering).
  • Knowledge of big data platforms and cloud‑based AI analytics environments (e.g., Databricks, Snowflake, Azure ML, or AWS SageMaker).
  • Ability to present complex issues as simple, compelling, and data‑driven narratives, enhanced by AI‑supported visualization and summarization tools.
  • Demonstrated curiosity and adaptability to emerging AI trends and ethical data use.
  • Knowledge of different project management approaches and lifecycles, including AI‑driven workflow automation and agile analytics delivery.

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 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 by completing our Applicant Request Support Form or please contact 1-855-833-5120.

Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. Please read our Candidate Privacy Policy.

Equal Opportunity: We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

Data Analyst in Buckland employer: hackajob

LexisNexis is an exceptional employer that prioritises employee wellbeing and professional growth, offering a flexible work environment and a generous benefits package including health screening, study assistance, and extensive learning resources. With a strong commitment to innovation in data analytics and AI, employees are empowered to lead complex projects and contribute to cutting-edge solutions that enhance decision-making for clients worldwide.

hackajob

Contact Detail:

hackajob Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Analyst in Buckland

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 you insider info and might just get your foot in the door.

Tip Number 2

Show off your skills! Prepare a portfolio showcasing your data analysis projects, especially those using AI tools. This will help you stand out during interviews and demonstrate your hands-on experience.

Tip Number 3

Practice makes perfect! Get comfortable with common interview questions for data analysts. Use mock interviews with friends or online platforms to refine your answers and boost your confidence.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining the LexisNexis team.

We think you need these skills to ace Data Analyst in Buckland

Data Analysis
SQL
Python
AI/ML Libraries
Data Visualisation
Tableau
Power BI

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter for the Data Analyst role. Highlight your experience with SQL, Python, and any AI tools you've used. We want to see how your skills align with what we're looking for!

Showcase Your Problem-Solving Skills:In your application, share examples of how you've tackled complex data challenges in the past. We love seeing candidates who can think critically and provide actionable insights from data.

Keep It Clear and Concise:When writing your application, be straightforward and to the point. Use clear language to describe your experiences and achievements. We appreciate clarity and want to understand your journey easily!

Apply Through Our Website:Don't forget to submit your application through our website! This ensures it gets to the right people quickly. Plus, it’s the best way to stay updated on your application status.

How to prepare for a job interview at hackajob

Know Your Data Tools

Familiarise yourself with the data tools mentioned in the job description, like SQL and Python. Be ready to discuss how you've used these tools in past projects, especially in relation to AI and machine learning.

Showcase Your Problem-Solving Skills

Prepare examples of how you've tackled complex data problems in the past. Highlight your analytical thinking and how you’ve used data to drive business decisions, as this is crucial for the role.

Visualisation is Key

Brush up on your visualisation skills using tools like Tableau or Power BI. Be prepared to explain how you create compelling data narratives and how AI can enhance these visualisations.

Stay Current with AI Trends

Demonstrate your understanding of current AI trends and how they impact data analytics. Discuss any recent developments you've followed and how they could be applied in the role at LexisNexis.