At a Glance
- Tasks: Transform data into actionable insights and support decision-making for clients.
- Company: Join a dynamic Managed Services team focused on data-driven solutions.
- Benefits: Career development, full training, and access to top analytics tools.
- Other info: Collaborative environment with opportunities for continuous improvement.
- Why this job: Make a real impact by influencing business decisions with your analytical skills.
- Qualifications: Experience in data analysis and proficiency in Power BI required.
The predicted salary is between 31500 - 38500 £ per year.
An opportunity has arisen within our Managed Services team for an analytical and proactive
Data Analyst .
This is a chance to step into a role that shapes workforce and operational insight for both Proman and our clients — working closely with onsite account teams to turn data into decisions.
If you're looking to build on your analytical skills in a client-facing, insight-driven role, this could be a strong next move.
Key Responsibilities
- Building and maintaining Power BI dashboards and KPI reporting.
- Collecting, validating, and analysing workforce and operational data.
- Monitoring trends in attendance, attrition, performance, and workforce demographics.
- Identifying root causes and emerging issues through data analysis.
- Producing clear reports and insights for internal and client stakeholders.
- Supporting account teams with data-driven recommendations and solutions.
- Maintaining data accuracy, integrity, and reporting standards.
- Presenting findings in a clear and engaging way to non-technical audiences.
- Supporting continuous improvement initiatives through analytical insight.
What We're Looking For
- Experience in data analysis, reporting, or business intelligence.
- Strong analytical and numerical skills.
- Experience using Power BI and Microsoft Office applications.
- Excellent attention to detail and data accuracy.
- Ability to turn complex data into clear, actionable insights.
- Strong communication and stakeholder engagement skills.
- Ability to manage priorities and work independently.
- Experience working with HR, workforce, recruitment, or operational data would be advantageous.
- Why Move Into This Role
- Career development opportunities within the Managed Services function.
- Full training and ongoing support as you transition into the role.
- Access to industry-leading reporting and analytics tools.
- Opportunity to directly influence business decisions through data-driven insight.
- Supportive, collaborative team environment.
Data Analyst Managed Services employer: Proman
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StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst Managed Services
✨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 Proman!
✨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 Managed Services at Proman.
✨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 Proman.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst Managed Services at Proman, 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 Managed Services
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 Proman, 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 Proman. 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 Proman
✨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 Proman!
✨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.
