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- Tasks: Analyse and present data to support data-driven products and services.
- Company: Join LexisNexis Risk Solutions, a leader in risk assessment and data management.
- Benefits: Enjoy flexible working options and opportunities for professional growth.
- Why this job: Be part of a dynamic team making a real impact in data analysis and compliance.
- Qualifications: Strong analytical skills, proficiency in SQL and Python, and excellent communication abilities required.
- Other info: Collaborate with cross-functional teams and engage in customer-facing meetings.
The predicted salary is between 30000 - 42000 £ per year.
About the Business: LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management.
About the team: The data analyst team collaborates with the Data Services Team Lead and cross-functional teams to deliver high-quality, compliant, and actionable insights, while maintaining standardized processes and documentation to drive efficiency.
About the role: You will be responsible for analyzing, interpreting, and presenting data to support the organization’s data-driven products and services, including customer-facing dashboards and regulatory datasets.
Responsibilities:
- Maintain and update AWS QuickSight customer dashboards
- Set up and manage QuickSight dashboard user accounts
- Create and maintain internal dashboards and reports
- Deliver custom data extracts for clients
- Handle data analysis requests
- Support regulatory audits with compliant datasets
- Develop and manage automated alert reports (like Error reporting)
- Investigate and resolve data-related issues
- Provide training and support for Management Information (MI) extract queries
- Assist Professional Services and Customer Engagement teams in customer-facing meetings for data-related deliverables
Requirements:
- Exceptional analytical skills with the ability to interpret complex datasets.
- Proficiency in SQL, Python, and data visualization tools like AWS QuickSight.
- Experience with regulatory compliance and data privacy standards.
- Ability to translate business requirements into actionable data solutions.
- Excellent communication skills to present insights to technical and non-technical audiences.
- Familiarity with agile methodologies and collaborative team environments.
Data Analyst (Leeds) employer: LexisNexis Risk Solutions
Contact Detail:
LexisNexis Risk Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst (Leeds)
✨Tip Number 1
Familiarise yourself with AWS QuickSight, as it's a key tool for this role. Consider creating sample dashboards or reports to showcase your skills and understanding of data visualisation.
✨Tip Number 2
Brush up on your SQL and Python skills, as these are essential for data analysis. You might want to work on personal projects or contribute to open-source projects to demonstrate your proficiency.
✨Tip Number 3
Understand the regulatory compliance aspects related to data privacy. Being knowledgeable about these standards will not only help you in the role but also impress the hiring team during discussions.
✨Tip Number 4
Prepare to discuss how you've translated business requirements into actionable data solutions in past experiences. This will show your ability to connect data analysis with real-world applications.
We think you need these skills to ace Data Analyst (Leeds)
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Analyst position at LexisNexis Risk Solutions. Tailor your application to highlight how your skills in SQL, Python, and data visualisation tools align with their needs.
Highlight Relevant Experience: In your CV and cover letter, emphasise any previous experience you have with data analysis, particularly in relation to regulatory compliance and data privacy standards. Use specific examples to demonstrate your analytical skills and ability to interpret complex datasets.
Showcase Communication Skills: Since the role requires presenting insights to both technical and non-technical audiences, include examples in your application that showcase your excellent communication skills. This could be through past presentations, reports, or collaborative projects.
Tailor Your Application: Make sure to customise your CV and cover letter for this specific role. Use keywords from the job description, such as 'AWS QuickSight', 'data-driven products', and 'agile methodologies', to ensure your application stands out to recruiters.
How to prepare for a job interview at LexisNexis Risk Solutions
✨Showcase Your Analytical Skills
Be prepared to discuss specific examples of how you've interpreted complex datasets in the past. Highlight your problem-solving abilities and how your insights have driven decisions or improvements.
✨Demonstrate Technical Proficiency
Make sure you can confidently talk about your experience with SQL, Python, and AWS QuickSight. Consider preparing a small project or example that showcases your skills in data visualisation and analysis.
✨Understand Regulatory Compliance
Familiarise yourself with the regulatory compliance and data privacy standards relevant to the role. Be ready to discuss how you've ensured compliance in previous roles or how you would approach it in this position.
✨Communicate Effectively
Practice explaining technical concepts in simple terms, as you'll need to present insights to both technical and non-technical audiences. Good communication can set you apart, so think about how you can convey your ideas clearly.
