At a Glance
- Tasks: Dive into data analysis, reporting, and infrastructure with hands-on experience.
- Company: Fast-growing same-day delivery and logistics company expanding across the UK.
- Benefits: Direct mentorship, ownership of projects, pension, and a day off on your birthday.
- Other info: Fully office-based role in Manchester with excellent growth opportunities.
- Why this job: Shape the future of logistics with data while gaining invaluable experience.
- Qualifications: Strong analytical skills, clear communication, and a degree in a numerate discipline.
The predicted salary is between 25650 - 31350 £ per year.
Zippd is a fast-growing same-day delivery and logistics company operating a final-mile delivery network across the UK, working with major retail partners. We’re expanding into new UK cities and international markets, and data sits at the heart of how we run the business; from route optimisation and driver performance to billing accuracy and executive reporting.
We’re looking for a Graduate Data Analyst to join our data function and work directly alongside the Head of Data. This is a hands-on role covering reporting, analytics, and data infrastructure. It’s a genuine opportunity to go beyond viewing dashboards and learn how a live operational data stack is built and maintained.
You’ll start by supporting existing reporting and analysis work, then grow into taking ownership of specific reports, pipelines, and ad hoc analysis as you build context. Over time, this role is intended to reduce key-person risk in the data function by building your own working knowledge of our systems and documentation alongside the Head of Data.
Requirements
- Essential Skills & Attributes
- Logical thinker: comfortable breaking down ambiguous problems into clear steps
- Strong with numbers: solid grasp of maths and statistics fundamentals
- Commercially aware: able to connect data findings to what actually matters for the business
- Clear communicator: able to explain findings to non-technical stakeholders
- Able to work from our Manchester Head Office five days a week. This role is fully office-based, with no remote or hybrid working
- Desirable (Nice to Have)
- Exposure to Python, for example through a degree project, internship, or personal projects; pandas and data manipulation experience is a plus
- Exposure to Power BI or another BI/visualisation tool such as Tableau or Looker
- Familiarity with SQL or a willingness to learn quickly
- A degree in a numerate discipline: Maths, Economics, Engineering, Computer Science, Physics, or similar, though we care more about how you think than the specific degree title.
Benefits
- Direct mentorship from the Head of Data, with real ownership of live reporting and analysis from day one
- Exposure to the full data stack, warehousing, pipelines, BI, and executive reporting
- The chance to shape how a growing logistics business uses data as we expand into new UK cities and international markets
- Standard benefits: pension, an additional day off on your birthday.
Data Analyst in Manchester employer: Zippd
Zippd is an exceptional employer for aspiring Data Analysts, offering a dynamic work environment in Manchester where data drives our logistics operations. With direct mentorship from the Head of Data and opportunities to take ownership of live reporting and analysis, employees can expect significant professional growth while contributing to the company's expansion into new markets. Our supportive culture, combined with standard benefits like a pension and an extra day off on your birthday, makes Zippd a rewarding place to build your career.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Manchester
✨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 Zippd!
✨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 Zippd.
✨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 Zippd.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst at Zippd, 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 Manchester
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 Zippd, 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 Zippd. 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 Zippd
✨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 Zippd!
✨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.
