At a Glance
- Tasks: Manage data sets, develop reports, and troubleshoot data issues to support decision-making.
- Company: Join a forward-thinking company that values data-driven insights.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Dynamic team environment with excellent career advancement potential.
- Why this job: Dive into the world of data and make a real impact with your analytical skills.
- Qualifications: Strong numerical skills and familiarity with data analysis tools like Excel and databases.
The predicted salary is between 28000 - 35000 £ 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 (Graduate Role) employer: Arsenault
Join our dynamic data team as a Data Analyst and embark on a rewarding career where your analytical skills will be valued and nurtured. We offer a collaborative work culture that prioritises employee growth, providing access to advanced training and development opportunities in a vibrant location. With a focus on innovation and efficiency, you'll have the chance to make a meaningful impact while enjoying a supportive environment that encourages creativity and professional advancement.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst (Graduate Role)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend data-related events, and connect with alumni from your university. You never know who might have a lead on a job or can give you insider info about the company.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects. Use tools like Excel, Google Analytics, or any other software you're familiar with to demonstrate your ability to manipulate and visualise data effectively.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis questions and scenarios. Practice explaining your thought process when analysing data, as interviewers love to see how you approach problem-solving.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and engaged with our platform.
We think you need these skills to ace Data Analyst (Graduate Role)
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 you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis and how your skills align with our needs. Don’t forget to mention any specific tools or techniques you’re familiar with that are relevant to the job.
Showcase Your Analytical Skills:In your application, give examples of how you've used your analytical skills in past experiences. Whether it's through coursework, internships, or personal projects, we want to see how you’ve tackled data challenges and what insights you’ve drawn from them.
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, it shows you’re keen on joining the StudySmarter family!
How to prepare for a job interview at Arsenault
✨Know Your Tools
Make sure you’re familiar with the data analysis tools mentioned in the job description. Brush up on your Excel skills and have a basic understanding of relational databases like MS Access. Being able to discuss how you've used these tools in past projects will show your practical experience.
✨Showcase Your Analytical Skills
Prepare to demonstrate your numerical and analytical skills during the interview. Think of examples where you've successfully analysed data, identified trends, or solved problems using data. This could be from university projects or internships—anything that highlights your ability to scrutinise data effectively.
✨Understand the Business Context
Research the company and its industry to understand the types of data they might work with. Be ready to discuss how you would approach gathering and analysing data specific to their business needs. This shows that you’re not just a data whiz but also someone who can apply their skills in a real-world context.
✨Prepare Questions
Have a few thoughtful questions ready to ask at the end of the interview. This could be about their data processes, the tools they use, or how they measure success in the data team. It shows your interest in the role and helps you gauge if the company is the right fit for you.
