At a Glance
- Tasks: Transform complex data into actionable insights for strategic decision-making.
- Company: Join a leading university in East London with a focus on innovation.
- Benefits: Hybrid work model, skill development in top analytics tools, and career progression.
- Other info: Collaborative environment with opportunities to influence senior leadership.
- Why this job: Make a real impact on university planning while enhancing your data skills.
- Qualifications: Experience in data analysis and proficiency in analytics tools.
The predicted salary is between 45000 - 55000 £ per year.
The University in East London is seeking an analytics professional to join a visible team relied on by senior leaders across Finance, Marketing and faculties.
This hybrid role requires two days on site and offers a clear path to influence planning and performance.
You will work at the heart of a data transformation, building skills in Microsoft Fabric, Power BI, SQL and Python, while turning complex data into insights that drive strategic decisions and action across the university.
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Strategic Planning Analyst - Data & Insight Lead (Hybrid) employer: Gravitas Recruitment Group (Global) Ltd
As a leading institution in Higher Education, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. With a focus on professional development and growth opportunities, our team members are supported in their career journeys while contributing to meaningful projects that impact students' lives. Located in a dynamic environment, this role offers the unique advantage of predominantly remote work, allowing for flexibility and work-life balance during a pivotal time of change.
Contact Details:
Gravitas Recruitment Group (Global) Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Strategic Planning Analyst - Data & Insight Lead (Hybrid)
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Strategic Planning Analyst - Data & Insight Lead (Hybrid)
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 Gravitas Recruitment Group (Global) Ltd, 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 Gravitas Recruitment Group (Global) Ltd. 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 Gravitas Recruitment Group (Global) Ltd
✨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!
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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
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✨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.