At a Glance
- Tasks: Analyse data and create insightful reports using Power BI, SQL, and Excel.
- Company: Waythrough, a forward-thinking organisation focused on community improvement.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Join a dynamic team dedicated to enhancing operational services.
- Why this job: Make a real difference by driving data-informed decisions for safer communities.
- Qualifications: Experience with Power BI, SQL, and strong analytical skills.
The predicted salary is between 31500 - 38500 £ per year.
Waythrough is seeking a Data Analyst (Reporting Focus) in Leeds (Hybrid) to support operational services with accurate reports.
You will handle Power BI, SQL and Excel to drive data-informed decisions and service improvements across the organisation.
You will be the go-to for reporting queries, delivering insights and training colleagues on reporting tools.
This role sits within the Performance and Data team of Corporate Services, contributing to safer, healthier outcomes for communities.
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Data Analyst (Reporting) - Hybrid | Power BI & SQL in Leeds employer: Recovery Focus
Waythrough is an exceptional employer dedicated to making a real difference in the community, offering Health and Wellbeing Nurses a chance to engage in meaningful work that directly impacts individuals facing mental health and substance use challenges. With a comprehensive benefits package, including generous annual leave, professional development opportunities, and a supportive work culture that values diversity and inclusion, employees are empowered to grow both personally and professionally while contributing to a vital cause. Located in Leeds, the role provides a unique opportunity to work across various sites, fostering collaboration and community engagement.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst (Reporting) - Hybrid | Power BI & SQL in Leeds
✨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 Recovery Focus!
✨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 (Reporting) - Hybrid | Power BI & SQL at Recovery Focus.
✨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 Recovery Focus.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst (Reporting) - Hybrid | Power BI & SQL at Recovery Focus, 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 (Reporting) - Hybrid | Power BI & SQL in Leeds
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 Recovery Focus, 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 Recovery Focus. 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 Recovery Focus
✨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 Recovery Focus!
✨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.
