At a Glance
- Tasks: Organise and interpret data to create clear, usable reports for decision-making.
- Company: Join a small, remote software agency focused on practical business tools.
- Benefits: Enjoy competitive pay, remote work flexibility, and a no-drama workplace culture.
- Other info: Experience direct results of your work in a supportive, flat team environment.
- Why this job: Make a real impact by transforming messy data into actionable insights.
- Qualifications: Organisational skills, basic database knowledge, and strong communication abilities.
The predicted salary is between 30000 - 36000 £ per year.
We are adding a Junior Analytics Analyst to our team to help manage data systems for a major British infrastructure partner.
This project involves organizing and interpreting the large amounts of operational data they use to keep their services running.
You will be helping us turn messy, fragmented information into clear, usable reports that help their teams make better decisions every day.
About Pixel Systems
Pixel Systems is a small, remote software agency.
We do not build flashy social media apps or marketing websites.
We focus on the practical tools that businesses need to function: admin panels, CRM integrations, and database migrations.
Our clients come to us when their spreadsheets become too big to manage or when their different software tools refuse to communicate with each other.
We work as a fully remote team, providing fixed quotes and delivering working code along with full documentation and walkthrough videos.
We prefer stable, reliable technologies like Postgres and Node because we care more about software that works than following the latest industry trends.
The Role
In this role, you will be working closely with our developers to handle the data side of our infrastructure project.
Much of the work involves moving data between systems, identifying errors in legacy databases, and cleaning up information so it can be migrated safely.
You will spend time looking at how data is structured and finding ways to present it clearly through internal dashboards.
This is not about abstract theory: it is about ensuring that a warehouse manager or an operations lead has the correct numbers on their screen when they start their shift.
Because this is a fully remote position, you will manage your own schedule while staying in close contact with the rest of the team through regular check-ins and demos.
What you bring
We are looking for someone who is naturally organized and enjoys the process of tidying up complex information.
You do not need a long history in the industry, but you should be comfortable with the following:
- A logical approach to problem solving and the ability to spot patterns in large sets of information.
- Strong communication skills, especially when explaining technical findings to people who might not be data experts.
- Comfort working with spreadsheets and a basic understanding of how databases are structured.
- The ability to work independently in a remote setting without needing constant supervision.
- Attention to detail, particularly when checking for small errors that could cause larger issues during a data migration.
- A preference for straightforward, functional solutions over overly complicated ones.
- Patience when dealing with old, messy data sets that require manual cleanup.
- Helpful background
While this is an entry-level role, it is helpful if you have some familiarity with the tools we use.
Mentioning these in your background is a plus, but we are happy to help you learn the specifics on the job:
- Basic knowledge of SQL or experience querying databases.
- Exposure to Javascript or Node. js through personal projects or coursework.
- Familiarity with version control tools like Git Hub.
- An understanding of how APIs work to move data from one place to another.
- Experience creating basic charts or dashboards using tools like Excel, Google Sheets, or dedicated visualization software.
- A general interest in how large scale infrastructure projects manage their operations.
- Working at Pixel Systems
Working here is different from working at a large corporation.
We are a small, flat team where everyone is expected to contribute to the final result.
There are no layers of middle management to navigate.
You will see the direct results of your work as it gets shipped to the client and put into use.
This is a permanent, full-time position that is entirely remote.
We value clarity, honesty, and getting the job done right the first time.
The pay for this role is competitive and attractive for the current market, reflecting the importance of this project to our agency and our partner.
We pride ourselves on being a no-drama workplace.
We focus on the work at hand and respect each other’s time and autonomy.
If you prefer a quiet, professional environment where you can focus on solving real operational headaches, you will fit in well here.
We value people who are reliable and who take pride in providing clean, accurate work for our clients.
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Junior Analytics Analyst in Manchester employer: Pixel Systems
At Pixel Systems, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. As a remote software agency based in Birmingham, we offer flexible working arrangements, comprehensive training programs, and ample opportunities for professional growth, making it an ideal environment for those looking to develop their skills in data operations. Join us to be part of a dynamic team where your contributions are valued and you can make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Analytics Analyst in Manchester
✨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 Pixel Systems.
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We think you need these skills to ace Junior Analytics 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 Pixel Systems, 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 Pixel Systems. 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 Pixel Systems
✨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 Pixel Systems!
✨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.