At a Glance
- Tasks: Transform data into actionable insights to support major infrastructure decisions.
- Company: Leading organisation in the infrastructure sector with a collaborative culture.
- Benefits: Competitive salary, professional development, and hybrid working options.
- Other info: Great opportunities for career progression in a supportive environment.
- Why this job: Make a real impact by turning complex data into clear insights for strategic decisions.
- Qualifications: Experience as a Data Analyst, strong Power BI skills, and analytical mindset.
The predicted salary is between 60000 - 60000 £ per year.
We are looking for a skilled Data Analyst to join a leading organisation operating within the infrastructure sector. This is a great opportunity for an analytically minded professional to play a key role in turning data into actionable insight that supports better business decisions across major infrastructure programmes.
About the Role
As a Data Analyst, you will work closely with teams across the business to collect, interpret, and present data in ways that drive informed decision-making. You'll be responsible for building and maintaining dashboards, identifying trends, and communicating findings clearly to both technical and non-technical stakeholders.
Key Responsibilities
- Collect, clean, and analyse large datasets from multiple sources
- Design, build, and maintain Power BI dashboards and reports
- Identify trends, patterns, and insights to support strategic decision-making
- Work collaboratively with stakeholders to understand reporting requirements
- Translate complex data into clear, actionable insights for a range of audiences
- Ensure data accuracy, consistency, and integrity across reporting outputs
- Continuously look for ways to improve data processes and reporting efficiency
Requirements
- Proven experience as a Data Analyst or in a similar analytical role
- Background within the utilities or infrastructure sector is essential
- Strong hands-on experience with Power BI (essential)
- Excellent Excel skills; experience with SQL is desirable
- Strong analytical and problem-solving skills with high attention to detail
- Ability to communicate complex data clearly to non-technical audiences
- Comfortable working both independently and as part of a collaborative team
- Based in or able to commute to Manchester
- Right to work in the UK, no sponsorship on offer for this role
What We Offer
- Competitive salary of approximately £60,000
- A supportive and collaborative working environment
- Opportunities for professional development and career progression
- Hybrid/flexible working arrangements (where applicable)
To apply, please submit your CV and a short cover note outlining your relevant experience.
Data Analyst in Manchester employer: PACE Digital
As a Power BI Reporting Specialist, you will join a forward-thinking organisation that values innovation and collaboration within the dynamic nuclear sector. Our hybrid working model promotes a healthy work-life balance, while our commitment to employee development ensures you have access to training and growth opportunities. With a focus on meaningful projects and a supportive team culture, we offer an environment where your contributions are recognised and rewarded.
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 PACE Digital!
✨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 PACE Digital.
✨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 PACE Digital.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst at PACE Digital, 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 PACE Digital, 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 PACE Digital. 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 PACE Digital
✨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 PACE Digital!
✨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.
