At a Glance
- Tasks: Transform complex data into actionable insights and support strategic decision-making.
- Company: Join Grayce, a purpose-driven organisation focused on impactful transformation.
- Benefits: Competitive salary, continuous development, and a supportive community.
- Other info: Opportunities for career progression and a people-first culture.
- Why this job: Make a real difference by working with top-tier clients on meaningful projects.
- Qualifications: Experience in data analysis, strong analytical skills, and proficiency in tools like SQL and Power BI.
The predicted salary is between 29500 - 55000 £ per year.
Grayce specialises in delivering transformation through high-performing talent. For over a decade, we've partnered with some of the world's most ambitious organisations, deploying exceptional people who make a real difference.
When you join Grayce, you join a purpose-driven organisation committed to developing your career and supporting long-term impact across our communities. You'll collaborate with FTSE100 and FTSE250 clients and have opportunities to get involved in initiatives aligned to our values, from ED&I to sustainability and CSR.
We're looking for talented people with experience in data, analytics and business transformation to join our community. Whether your background is in Data Analysis, Data Management, Data Governance, Business Intelligence or Business Analysis, you'll play a key role in helping organisations unlock the value of their data while continuing to grow through our structured development programmes.
We're opening applications for experienced professionals across our core data and analytics roles. While individual assignments vary, you'll work on meaningful client projects that support better decision-making, improve data quality and drive organisational change.
- Data Analyst: Turn complex data into meaningful insights. You'll analyse trends, identify opportunities, create reports and dashboards, and help stakeholders make informed decisions through data-driven recommendations.
- Data Management Consultant: Support organisations in maintaining high-quality, trusted data. You'll contribute to data governance activities, investigate data issues, improve controls and help ensure critical business data remains accurate and accessible.
- Data & Business Consultant: Bridge the gap between business and technology teams. You'll gather requirements, analyse processes, support change initiatives and help shape solutions that improve the way organisations use data.
We'd love to hear from you if you have:
- Proven experience in Data Analysis, Data Management, Business Intelligence, Business Analysis or a related discipline
- Strong analytical and problem-solving skills with the ability to work with complex datasets and business challenges
- Experience gathering requirements, identifying improvements and supporting business change initiatives
- Excellent communication and stakeholder engagement skills
- Experience using tools such as Excel, SQL, Power BI, Tableau, databases or other reporting and analytics platforms
- A proactive mindset and the confidence to work within high-profile client environments
- The ability to work on-site up to 5 days per week depending on client needs
- The right to work in the UK for the duration of the programme
For over a decade, we've partnered with FTSE 100 and FTSE 250 organisations to deliver change that matters. Joining Grayce means combining meaningful client delivery with a structured development journey designed to accelerate your career.
What You'll Gain:
- Continuous Development: Access to our Accelerated Development Programme, industry-recognised accreditations and tailored learning pathways to deepen your expertise.
- Career Progression: Clear advancement routes, ongoing coaching and mentoring to help you grow with confidence.
- Impactful Work: Deliver data and transformation initiatives that shape the future for major organisations.
- Support & Wellbeing: A competitive package, supportive community and a people-first culture designed to help you thrive.
Data Analyst: Turn Data into Strategic Impact in Manchester employer: Manchester Digital
At Manchester Digital, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel. As a Chief Software Engineering Leader, you will not only lead a talented team but also enjoy flexible working arrangements, competitive pension contributions, and generous annual leave that grows with your tenure, making it an ideal environment for personal and professional growth.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst: Turn Data into Strategic Impact 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 Manchester 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: Turn Data into Strategic Impact at Manchester 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 Manchester Digital.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst: Turn Data into Strategic Impact at Manchester 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: Turn Data into Strategic Impact 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 Manchester 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 Manchester 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 Manchester 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 Manchester 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.
