At a Glance
- Tasks: Transform complex data into actionable insights for senior decision-makers.
- Company: Leading infrastructure consultancy with a focus on impactful projects.
- Benefits: Up to £50,000 salary, remote work, and professional growth opportunities.
- Other info: Collaborative remote environment with opportunities for continuous improvement.
- Why this job: Make a measurable impact on commercial and government programmes while growing your career.
- Qualifications: Strong data analysis skills, proficiency in Excel and Power BI.
Data Analyst, To £50000 plus benefits.
Remote working & visit UK offices occassionally for meetings
Join a leading infrastructure and facilities consultancy in this Data Analyst role, working at pace on complex commercial and government programmes.
This is a visible Data Analytical role where your analysis will directly inform senior decision-makers and influence strategic outcomes across a diverse portfolio of projects.
If you are a data-driven professional who wants to work on complex commercial and government estate projects, this role offers a way to make a measurable impact and grow with a fast-expanding consultancy.
The Data Analyst Role
As Data Analyst, you will be responsible for turning complex data sets into clear, actionable insights that support senior management in planning, performance tracking, and strategic decision-making.
Working remotely, informing the senior team, you will provide robust analysis and reporting across multiple programmes, ensuring information is presented in a way that drives effective commercial and operational decisions.
Key Responsibilities
- Analyse large and varied data sets using Excel and other spreadsheet tools to identify trends, risks, and opportunities across infrastructure and facilities programmes.
- Develop and maintain dashboards and visual reports in tools such as Power BI to provide clear, real-time views of project and programme performance.
- Prepare and present concise, insight-led reports and visualisations to senior management, translating complex data into commercially relevant narratives.
- Support business intelligence activities by consolidating data from multiple sources and creating structured reporting frameworks for commercial and government clients.
- Perform statistical analysis to support forecasting, performance measurement, and scenario modelling for complex programmes.
- Clean, transform, and prepare raw data to ensure accuracy, consistency, and usability for analysis and reporting.
- Collaborate remotely with project teams and senior stakeholders, using project management and collaboration tools to manage priorities, timelines, and deliverables.
- Contribute to continuous improvement of data processes, reporting standards, and analytical methodologies within the consultancy.
Key Requirements
- Strong proficiency in Data Analysis, Excel and spreadsheet-based analysis, including complex formulas, pivot tables, and data manipulation.
- Demonstrated experience in statistical and data analysis and interpreting quantitative data for business decision-making.
- Proven ability to build and manage data visualisations and dashboards using tools such as Power BI.
- Experience working with business intelligence and reporting processes in a commercial or consultancy environment.
- Ability to present data analysis findings clearly and confidently to senior management teams, both in written reports and live presentations.
- Comfortable working remotely, efficiently using collaboration and project management tools to coordinate work.
- High level of attention to detail, with a structured approach to data validation and quality control.
- Strong organisational skills, with the ability to manage multiple projects and deadlines in a fast-paced environment.
Desirable Skills
- Experience working on infrastructure, facilities, or government-related data analysis programmes.
- Familiarity with additional BI tools or data platforms beyond Power BI.
- Experience within a fast-growing consultancy or professional services environment.
- Understanding of commercial performance metrics and KPIs relevant to projects.
If you are a data-driven professional who wants your work to directly influence complex commercial and government programmes, this role offers a strong platform to make a measurable impact and grow with a fast-expanding consultancy
Data Analyst employer: Macallam Resourcing
Join a dynamic and rapidly growing company in the electrical infrastructure construction sector, where your expertise as a Senior Estimator will be valued and rewarded. With a strong focus on employee growth, we offer a competitive salary package and opportunities for advancement within a supportive work culture that encourages hands-on involvement and collaboration. Located in the UK, our hybrid working model allows for flexibility while engaging in exciting projects in renewable energy and DNO regulated works.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst
✨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 Macallam 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 Macallam 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 Macallam Resourcing.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst at Macallam 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
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 Macallam 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 Macallam 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 Macallam 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 Macallam 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.
