At a Glance
- Tasks: Support BI transformation by delivering reporting solutions using T-SQL, Power BI, and SSRS.
- Company: Join the Norfolk and Suffolk NHS Foundation Trust, a supportive and impactful organisation.
- Benefits: Flexible/home working, 37.5 hours per week, and potential travel across beautiful Norfolk and Suffolk.
- Other info: Be part of a collaborative BI team with opportunities for growth.
- Why this job: Make a difference in healthcare through data analysis and innovative reporting solutions.
- Qualifications: Degree with data analysis experience; NHS experience is a bonus.
The predicted salary is between 35252 - 43086 £ per year.
Norfolk and Suffolk NHS Foundation Trust is seeking a Business Intelligence Analyst to support BI transformation, delivering reporting solutions using T-SQL, Power BI and SSRS.
You will join a supportive BI team, work 37.5 hours per week with flexible/home working and potential travel across Norfolk and Suffolk, based from Ipswich or Norwich.
A degree with data analysis experience is required and NHS experience is advantageous.
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Hybrid BI Analyst: Power BI & SQL Reporting in Norwich employer: Nsft.
Norfolk & Suffolk NHS Foundation Trust is an exceptional employer, offering a supportive and inclusive work environment for Electricians in Norwich. With a strong commitment to employee wellbeing, we provide generous benefits such as a competitive salary, extensive annual leave, and access to professional development opportunities, ensuring that our team members can thrive both personally and professionally while contributing to vital mental health services in the community.
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We think this is how you could land Hybrid BI Analyst: Power BI & SQL Reporting in Norwich
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We think you need these skills to ace Hybrid BI Analyst: Power BI & SQL Reporting in Norwich
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!
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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.
