At a Glance
- Tasks: Analyse data to support business decisions and create engaging visualisations.
- Company: Join LexisNexis, a global leader in data and analytics.
- Benefits: Generous holiday, health perks, flexible hours, and extensive learning resources.
- Other info: Opportunities for career growth and community involvement through volunteering.
- Why this job: Make an impact with data while enjoying a healthy work/life balance.
- Qualifications: Degree in Data Analytics/Math and experience with SQL, Python, and visualisation tools.
The predicted salary is between 28800 - 48000 £ 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: As a Data Analyst III you will consult with internal stakeholders to understand problems, collect and analyze data to support data driven business decisions. This role uses data tools to collate, model, interpret, develop visualizations/information products, and communicate to the business. Specifically, individuals in this role will execute on projects/initiatives with high complexity independently.
Responsibilities:
- Have an understanding of best practices
- Execute on projects and initiatives independently
- Providing support to the analytics team members
- Leading analytics effort with high complexity
- Collaborating with stakeholders to understand their business needs and to make suggestions for analysis and metrics to drive insights and recommendations
- Understanding who the customers are and what is happening in the market with necessary commercial awareness
- Creating visual displays of data through selected tools and analytical packages
- Effectively lead and manage small/operational analytics projects
Requirements:
- Bachelors or Master Degree in Data Analytics/Math or equivalent work experience
- Ability to understand complex data structure and to apply advanced blending and refinement techniques including big data and knows how to apply advanced data preparation and refinement techniques
- Significant experience leveraging SQL and Python for data querying
- Experience with different visualizations tools such as Tableau or PowerBI
- Experience in intermediate statistics
- Have knowledge of big data platforms
- Ability to present complex issues in simple and sophisticated insights
- Ability to combine visualizations from multiple sources to tell an effective and engaging story
- Knowledge of different project management approaches and lifecycles
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
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. We are building powerful new decision tools that use machine learning, natural language processing, visualisation and artificial intelligence that aid and enhance decision making.
Data Analyst in Bournemouth employer: LexisNexis Legal
At LexisNexis, we pride ourselves on being an exceptional employer that values the wellbeing and professional growth of our employees. Our Data Analyst III role offers a dynamic work environment in a global company where you can leverage your analytical skills while enjoying flexible working hours, generous benefits, and extensive learning opportunities. Join us to be part of a collaborative culture that empowers you to make impactful decisions and contribute to innovative solutions in the data and analytics space.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Bournemouth
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We think you need these skills to ace Data Analyst in Bournemouth
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at LexisNexis Legal, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at LexisNexis Legal. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at LexisNexis Legal
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at LexisNexis Legal!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
