At a Glance
- Tasks: Analyse and visualise data to support public policy development and enforcement.
- Company: Join the Financial Reporting Council, a key player in UK financial regulation.
- Benefits: Gain hands-on experience, develop your skills, and contribute to meaningful insights.
- Other info: Collaborative environment with opportunities for growth and learning.
- Why this job: Make a real impact on public policy while working with data and innovative tools.
- Qualifications: Basic knowledge of Excel, Power BI, and SQL; passion for data analysis.
The predicted salary is between 31500 - 38500 £ per year.
The Financial Reporting Council (FRC) is seeking a junior Data Analyst to join the Market Intelligence & Insights function in the UK.
The role offers hands-on experience with data collection, cleansing, analysis and visualization to support policy development and enforcement activity.
You will work with Excel, Power BI and SQL; collaborate with cross‑functional teams; and help turn data into clear, tailored insights for stakeholders while upholding data governance and security standards.
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Junior Data Analyst: Public Policy & Insights in Birmingham employer: The Endorsement Board
The Financial Reporting Council (FRC) is an exceptional employer dedicated to upholding high standards in corporate governance and audit quality, making a significant impact on the UK economy. With a strong focus on employee development, we offer opportunities for professional growth within a collaborative and supportive work culture, where your contributions directly influence the integrity of financial reporting. Located in the heart of the UK, our team thrives on engagement with leading audit firms, fostering a dynamic environment that values innovation and excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data Analyst: Public Policy & Insights in Birmingham
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Junior Data Analyst: Public Policy & Insights in Birmingham
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 The Endorsement Board, 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 The Endorsement Board. 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 The Endorsement Board
✨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
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 The Endorsement Board!
✨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.
