Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Manage master data, develop reports, and troubleshoot data issues.
- Company: Join a forward-thinking company focused on data-driven decisions.
- Benefits: Competitive salary, flexible hours, and opportunities for professional growth.
- Why this job: Dive into data analysis and help shape business strategies with your insights.
- Qualifications: Strong analytical skills and experience with data analysis tools required.
- Other info: Collaborative team environment with room for innovation and creativity.
The predicted salary is between 30000 - 50000 £ per year.
We are looking to hire a data analyst to join our data team. You will take responsibility for managing our master data set, developing reports, and troubleshooting data issues. To do well in this role you need a very fine eye for detail, experience as a data analyst, and a deep understanding of the popular data analysis tools and databases. As a data analyst, you will gather and scrutinise data using specialist tools to generate information that helps others make decisions. You will respond to questions about data and look for trends, patterns, and anomalies within it.
Key Responsibilities
- Develop records management processes and policies
- Identify areas to increase efficiency and automation of processes
- Set up and maintain automated data processes
- Identify, evaluate and implement external services and tools to support data validation and cleansing
- Produce and track key performance indicators
- Develop and support reporting processes
- Monitor and audit data quality
- Liaise with internal and external clients to fully understand data content
- Gather, understand and document detailed business requirements using appropriate tools and techniques
- Design and carry out surveys and analyse survey data
- Manipulate, analyse and interpret complex data sets relating to the employer's business
- Prepare reports for internal and external audiences using business analytics reporting tools
- Create data dashboards, graphs and visualisations
- Provide sector and competitor benchmarking
- Mine and analyse large datasets, draw valid inferences and present them successfully to management using a reporting tool
Requirements
- Excellent numerical and analytical skills
- Knowledge of data analysis tools - you don’t need to know all of them at entry level, but you should show advanced skills in Excel and the use of at least one relational database
- Familiarity with other relational databases (e.g. MS Access)
- Knowledge of data modelling, data cleansing, and data enrichment techniques
- Hadoop open-source data analytics
- Google Analytics, SEO, keyword analysis and web analytics aptitude, for marketing analyst roles
- The capacity to develop and document procedures and workflows
- The ability to carry out data quality control, validation and linkage
- An understanding of data protection issues
- An awareness and knowledge of industry-specific databases and data sets
- Experience of statistical methodologies and data analysis techniques
- The ability to produce clear graphical representations and data visualisations
Data Analyst in Liverpool employer: Arsenault
Contact Detail:
Arsenault Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in Liverpool
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend data-related meetups, and connect with fellow analysts on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, reports, and visualisations. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis questions and scenarios. Practice explaining your thought process when tackling data issues, as this will demonstrate your analytical skills and attention to detail.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications come directly from candidates who are genuinely interested in joining our data team. It shows initiative and enthusiasm!
We think you need these skills to ace Data Analyst in Liverpool
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your experience with data analysis tools, your numerical skills, and any relevant projects you've worked on. We want to see how your background aligns with what we're looking for!
Showcase Your Skills: In your application, don’t just list your skills—show us how you’ve used them! Whether it’s through specific projects or previous roles, give us examples of how you’ve tackled data issues or developed reports. This will help us see your practical experience.
Be Detail-Oriented: As a Data Analyst, attention to detail is key. Make sure your application is free from typos and errors. We appreciate candidates who take the time to ensure their submissions are polished and professional, reflecting the quality we strive for at StudySmarter.
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, you’ll get to see more about our company culture and values while you’re at it!
How to prepare for a job interview at Arsenault
✨Know Your Tools Inside Out
Make sure you’re familiar with the data analysis tools mentioned in the job description. Brush up on your Excel skills and have a good grasp of at least one relational database. Being able to discuss how you've used these tools in past projects will show that you're ready to hit the ground running.
✨Showcase Your Analytical Skills
Prepare to demonstrate your analytical thinking during the interview. Think of examples where you've identified trends or solved data issues. Be ready to explain your thought process and how you arrived at your conclusions, as this will highlight your fine eye for detail.
✨Prepare for Scenario Questions
Expect questions that ask how you would handle specific data-related scenarios. Practice articulating your approach to developing reports, troubleshooting data issues, or automating processes. This will help you convey your problem-solving skills and understanding of data management.
✨Communicate Clearly
Since you'll be liaising with internal and external clients, practice explaining complex data concepts in simple terms. Prepare to discuss how you would gather and document business requirements, as clear communication is key in ensuring everyone is on the same page.
