At a Glance
- Tasks: Analyse data, generate reports, and support business decisions with insights.
- Company: Join Arsenault, a mission-driven agency making a positive impact.
- Benefits: Competitive pay, flexible work, wellness days, and volunteer opportunities.
- Other info: Collaborative culture with excellent career growth and fun office environment.
- Why this job: Kick-start your career in data analytics and make a real difference.
- Qualifications: Degree in Marketing, Business, or Computer Science; strong problem-solving skills.
The predicted salary is between 25650 - 31350 £ per year.
About the job Graduate Data Analyst (Remote)
Get To Know Arsenault
We’re a strategy, identity and campaigning agency.
At Arsenault we believe that mission‑driven businesses can positively impact society and the world around them, while at the same time growing their organisation.
It is our expertise and our job to help them do that.
Arsenault is a collection of creatives, strategists, designers, and business experts.
And did you know we’re always looking to meet new people?
So don’t hesitate to get in touch if this role sounds like you!
The Role
Are you looking to kick‑start your career in the business intelligence and data analytics sector?
We’re searching for someone that will want to own the technical design, development and delivery of business intelligence systems, reports and analysis for a growing division in Liverpool.
If this sounds like you, we have an excellent career growth opportunity for a graduate to join our team in our Liverpool office.
- We will count on you to
- Assist in the collection, collation, analysis and reporting of data.
- Providing key statistics to the business to assist in the measurement of results, identifying trends and/or patterns etc.
- Report generation using Microsoft Power BI and Microsoft Excel.
- Create unique solutions to business problems using data available internally or sourcing data from external sources.
- Use data to support and influence critical business decisions.
- Work with internal teams to generate regular and ad‑hoc reports that can help them with their decision making.
- Create and manage automated reports.
- What you need to have
- Have a qualification in Marketing, Business, Computer Science or a related field.
- Have strong problem‑solving skills and be solution orientated.
- Have excellent attention to detail and strong written and verbal communication skills.
- Confident liaising with various business stakeholders.
- Showcase time management and prioritisation skills.
- Be numerically confident and able to translate numbers into insights and action.
- Be motivated through achieving results.
- Thrive working as part of a team in a challenging and demanding environment.
- Passionate about data, analytics and problem solving.
- Exposure to SAP will be highly regarded but not essential.
What we offer
- A competitive remuneration package and employee benefits.
- Flexible working arrangements designed to suit individual circumstances and family needs.
- Birthday and study leave.
- Wellness days to allow you to focus on your own physical and or mental wellbeing.
- A workplace where you can access 2 weeks additional leave each year so you can take that extra break with family or friends.
- We applaud your need to give back to the community and give you 2 paid volunteer days each year to support one of our affiliated charities.
- A collaborative and fun culture.
- A vibrant office space at our HQ in Hell’s Kitchen (Coming Soon).
- #J-18808-Ljbffr
Graduate Data Analyst (Remote) in Liverpool employer: Arsenault
As an Office Administrator in our flagship Mayfair office, you will be part of a dynamic and supportive work culture that values initiative and creativity. We offer excellent growth opportunities within the finance industry, alongside a commitment to employee development and a vibrant environment where your contributions are recognised. Join us to not only enhance your skills but also to play a key role in shaping the office experience for both staff and guests worldwide.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Data Analyst (Remote) in Liverpool
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Arsenault!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Graduate Data Analyst (Remote) at Arsenault.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Arsenault.
✨Apply Directly through Our Website
When you find a suitable opening like Graduate Data Analyst (Remote) at Arsenault, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Graduate Data Analyst (Remote) in Liverpool
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Arsenault, 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 Arsenault. 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 Arsenault
✨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 Arsenault!
✨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.
