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- 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: Gain hands-on experience, competitive salary, and opportunities for professional growth.
- Why this job: Dive into the world of data analysis and make a real impact on business decisions.
- Qualifications: Strong analytical skills and familiarity with data analysis tools, especially Excel.
- Other info: Dynamic team environment with plenty of learning opportunities.
The predicted salary is between 28800 - 48000 £ 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) in Manchester employer: Arsenault
Contact Detail:
Arsenault Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst (Graduate Role) in Manchester
✨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 tips.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects. Use tools like Excel and any databases you've worked with to demonstrate your abilities. This will make you stand out when you apply through our website.
✨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
Follow up after interviews! A quick thank-you email can go a long way in showing your enthusiasm for the role. Plus, it keeps you fresh in the interviewer's mind as they make their decision.
We think you need these skills to ace Data Analyst (Graduate Role) in Manchester
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, provide 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 brush up on your knowledge of data analysis tools, especially Excel and any relational databases you've worked with. Be ready to discuss how you've used these tools in past projects or coursework, as this will show your practical experience.
✨Showcase Your Analytical Skills
Prepare to demonstrate your analytical skills by discussing specific examples where you've identified trends or patterns in data. Think about a time when your analysis led to a significant decision or improvement—this will highlight your ability to turn data into actionable insights.
✨Understand the Business Context
Familiarise yourself with the company’s industry and its data needs. Being able to discuss how data impacts business decisions in that context will impress interviewers and show that you're not just a number cruncher but someone who understands the bigger picture.
✨Prepare Questions
Have a few thoughtful questions ready to ask at the end of the interview. This could be about the data challenges the team is currently facing or how they measure success in the role. It shows your interest in the position and helps you gauge if it's the right fit for you.
