At a Glance
- Tasks: Analyse digital data, create reports, and present insights to help the team make informed decisions.
- Company: Join a growing E-Commerce team in a dynamic and supportive environment.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Enjoy autonomy in your role with a clear path towards more analysis-focused work.
- Why this job: Make a real impact with your analytical skills and grow alongside the company.
- Qualifications: Experience in data analysis, Power BI, and strong communication skills.
The predicted salary is between 35000 - 35000 £ per year.
This is a varied analyst role sitting within a small, close-knit E-Commerce team, reporting directly to the Head of E-Commerce. If you enjoy having your hands in multiple projects at once and like the autonomy to manage your own day, it's worth reading on.
What the role involves:
- You'll be pulling data from a range of digital platforms, cleaning it, and turning it into something useful.
- Regular reporting, presenting insights to stakeholders with clear recommendations, and helping the team make better decisions.
- Involved in onboarding and supporting platform users, contributing to system testing, and picking up helpdesk queries when they land in the team.
- The role is currently around 60% admin, 40% analysis, shifting significantly over the next 3-6 months towards 70% analysis.
What you'll need:
- Solid experience in data analysis, ideally within a digital or e-commerce environment.
- Power BI or a comparable BI tool; comfortable building and presenting reports.
- Advanced Excel.
- Strong communication skills; translating data into recommendations for non-technical audiences.
- The ability to work independently and manage your own priorities.
- SQL and an understanding of APIs or data exports are a bonus, not a barrier to applying.
What kind of person fits:
- Someone who takes ownership, asks questions when something doesn't look right, and doesn't need constant direction.
- You'll be the most analytically capable person in the team, with a real opportunity to make your mark and demonstrate the value good analysis can bring.
- The company is growing, hits its targets, and rewards people when it does.
If this sounds like your kind of role, get in touch with your CV and we'll take it from there.
Data Analyst in Leicester employer: Asset Resourcing
As a Digital Data Analyst in our dynamic E-Commerce team based in Leicester, you'll thrive in a supportive and collaborative environment that values your insights and contributions. We offer a hybrid working model, competitive salary, and a clear path for professional growth, ensuring you can develop your analytical skills while enjoying the autonomy to manage your projects. Join us to be part of a company that not only meets its targets but also rewards its employees for their hard work and dedication.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Leicester
✨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 Asset Resourcing!
✨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 Data Analyst at Asset Resourcing.
✨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 Asset Resourcing.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst at Asset Resourcing, 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 Data Analyst in Leicester
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 Asset Resourcing, 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 Asset Resourcing. 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 Asset Resourcing
✨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 Asset Resourcing!
✨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.
