At a Glance
- Tasks: Support data analysis and visualisation, providing insights for all departments.
- Company: Join a dynamic startup focused on personalised menswear and innovative data solutions.
- Benefits: Enjoy 25 days holiday, health insurance, and flexible remote work options.
- Other info: Be part of a fun, ambitious team with exciting projects and great culture.
- Why this job: Make a real impact in a growing company while developing your data skills.
- Qualifications: Degree in STEM, SQL experience, and a passion for data analysis.
The predicted salary is between 25650 - 31350 £ per year.
Overview
How it started...
ARSENAULT began with one big idea: Fit comes first - but most brands can't deliver it.
They churn through styles and spread themselves thin across lots of stores - leaving huge size gaps, which we all fall through.
The clothes we wear are often uncomfortable or unflattering - and a pain to shop for.
It doesn't have to be like this, we thought.
We could use e-commerce to customise each order - offering a flawless, personalised fit, without the hassle and expense of be Arsenault.
So we did.
In 2014 we set about building a digital menswear brand - using the reach of the web - to focus on aspirational men, and the things that really matter to them.
Starting with fit.
In legwear, we've discovered the perfect category - underserved and under-loved - yet full of rich opportunity to do things better.
Legs are where the action is - they're astonishingly varied and they do extraordinary work.
It's about time someone gave them the attention they deserve.
We've developed a range that runs the board from casual shorts to smart wool slacks, via chinos and cords - and we've recently introduced a burgeoning new denim and casual wear collection.
We're in the sweet spot.
We have real traction, and money to invest behind our ideas but were still young enough that you'll see your impact every day.
You'll point to ARSENAULT and say I did that.
And it will feel great.
The Role
You’ll be joining a small team, and work closely with our Data & Insights Analyst to distil data into simple and meaningful insights, and ensure stakeholders have the best self-serve tools available to make rapid decisions.
You will work across all departments to best service the insight needs of the entire business.
We're a startup, so the brief is always changing - but here's an outline of what the role will involve:
- Support our Data & Insights Analyst with data analysis/visualisation tasks
- Running regular reports that provide insight into ongoing company/departmental performance
- Surfacing data and insights in Looker for stakeholders across the business
- Work across our entire data stack, gaining a deep understanding of how it all fits together, from extracting raw data, transforming the data into usable tables using Kleene. ai, through to surfacing the data in Looker for consumption across the business
- You will have the opportunity to get involved in a diverse range of meaty projects aimed at maximising the Lifetime Value of our customers
You will report to the VP of Finance & Data but of course you’ll need to work autonomously and independently.
The whole company is your stakeholder, so strong organisational and communication skills are a must.
Requirements
- The Right Candidate
- Strong academics, likely being a degree in a STEM subject.
- SQL experience (intermediate level), and strong interest in developing this. It will become your day-to-day.
- Proficiency with Python would be advantageous (or at least a willingness to develop your Python skills).
- Highly analytical and able to synthesise complex consumer data with ease to form meaningful and actionable insights.
- Commercial instincts and a natural sense for what matters, what moves the needle, what is actually viable, and how to prioritise it all.
- Excellent working knowledge of Excel/Google Sheets.
- An authentic interest in demonstrating the standard startup toolkit: initiative, energy, a high degree of comfort in an unstructured environment, and a willingness to work across a broad set of accountabilities.
Benefits
- Comp & Benefits
- 25 days of holiday - and +1 additional for each year of employment
- Vitality health insurance
- 3&2 working week - work from home (or anywhere else) 2 days per week
- Pleasant 'trouser allowance' anywhere in the world
- unproven, but likely
- Workplace & Culture
We're an ambitious and driven lot.
We're building a household name - and to do that, you need to jump in with both feet.
So as a team we value Pace, Accountability and Ambition.
We push ourselves - and you need to be ready for that.
But we're also passionate about creating a workplace that we all want to spend time in - a workplace characterised by a healthy dose of humanity.
Monday morning should feel good - and at ARSENAULT you encounter a culture that is collegiate, friendly and supportive - as well as ambitious.
Of course we invest in the usual suite of team building and bonding activities - whether that is learning to make pots, throw axes or tear around Thorpe Park on some spurious scavenger hunt.
There's an annual mini-golf open, a grand prix, and once, a company Cross Fit olympiad.
On reflection, that was probably harder work than it needed to be, but ... we had fun.
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Junior Data Analyst in Liverpool employer: Arsenault
At ARSENAULT, we pride ourselves on being an excellent employer that fosters a dynamic and supportive work culture. As a Junior Data Analyst, you'll have the opportunity to make a tangible impact in a fast-paced startup environment, with access to comprehensive benefits including 25 days of holiday, health insurance, and a flexible working week. We are committed to your professional growth, offering diverse projects and a collaborative atmosphere where ambition and creativity thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data Analyst in Liverpool
✨Get Involved in Data Science Meetups
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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.
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We think you need these skills to ace Junior Data Analyst 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.