At a Glance
- Tasks: Lead data analysis and reporting using Power BI, SQL, Python or R.
- Company: DVSA in Swansea, committed to public service and data-driven decisions.
- Benefits: Flexible hours, minimum 30 hours per week, and occasional travel.
- Other info: Opportunity for career growth in a supportive environment.
- Why this job: Make a real impact by providing insights that drive strategic decisions.
- Qualifications: Experience with data analysis tools and strong communication skills.
The predicted salary is between 30000 - 40000 £ per year.
DVSA in Swansea, with multiple locations, is seeking a Data Analyst to lead day-to-day data analysis and reporting to enable informed decision-making and robust evidence-based recommendations.
You will work with Power BI, SQL, Python or R to analyse data, communicate insights to stakeholders, participate in governance, and support strategy and reporting improvements. The role supports flexible hours, with a minimum of 30 hours per week and occasional travel.
#J-18808-LjbffrData Analyst: Power BI & SQL for Public Service employer: TipTopJob
At TipTopJob, we pride ourselves on being an exceptional employer, offering a supportive work culture that values collaboration and professional growth. Located in the serene surroundings of Thatcham, Berkshire, our mental health hospital provides extensive benefits, including a competitive salary and opportunities for continuous development, making it an ideal place for dedicated professionals to thrive in their careers while making a meaningful impact on patients' lives.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst: Power BI & SQL for Public Service
✨Get Involved in Data Science Meetups
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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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How to prepare for a job interview at TipTopJob
✨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!
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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.
