At a Glance
- Tasks: Own key reporting processes and improve data quality for finance analytics.
- Company: Join Queen Square Recruitment, a pivotal player in retail finance analytics.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Be part of a dynamic team driving business-critical initiatives.
- Why this job: Shape future analytics and make impactful decisions in a large retail organisation.
- Qualifications: Experience in SQL, Power BI, and strong analytical skills required.
The predicted salary is between 37338 - 45000 £ per year.
Queen Square Recruitment in Redditch, UK, is seeking a Senior Data & Reporting Analyst to join a business-critical Finance Analytics initiative.
You will own key reporting processes, improve data quality and support transitioning to a managed service while shaping future analytics opportunities.
You will handle data preparation, SQL analytics, Power BI reporting, and collaborate with stakeholders to enable better decision-making across the large retail organisation.
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Senior Data & Reporting Analyst - Power BI & Finance in Redditch employer: Queen Square Recruitment
As an Operational Acceptance Test (OAT) Lead, you will join a dynamic and innovative team within a global technology and consulting organisation that prioritises employee growth and development. Our collaborative work culture fosters creativity and encourages you to take ownership of your projects, while our commitment to large-scale transformation programmes ensures that your contributions have a meaningful impact on critical national infrastructure services. With access to modern cloud technologies and a focus on service transition practices, this role offers unique opportunities for professional advancement in a complex enterprise environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data & Reporting Analyst - Power BI & Finance in Redditch
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We think you need these skills to ace Senior Data & Reporting Analyst - Power BI & Finance in Redditch
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 Queen Square Recruitment, 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 Queen Square Recruitment. 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 Queen Square Recruitment
✨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 Queen Square Recruitment!
✨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.
