At a Glance
- Tasks: Analyse data using SQL and Python, and create insightful BI dashboards.
- Company: Leading healthcare organisation with a focus on innovation.
- Benefits: Competitive salary, hybrid working, and opportunities for skill development.
- Other info: Great opportunity for career growth in a supportive environment.
- Why this job: Join a dynamic team and make a real impact in the healthcare sector.
- Qualifications: Experience with SQL, BI tools, and a passion for problem-solving.
The predicted salary is between 24000 - 42000 £ per year.
Overview
Graduate/Junior Data Analyst - SQL/Python - Bristol - New Role (REF39)
£28k - £35k + Hybrid Working
A leading organisation within the healthcare sector requires a graduate/junior Data Analyst to join its growing team. Suitable candidates will have the following:
Responsibilities
- Proven experience with SQL querying
- Experience with a BI dashboard tool (Tableau, Power BI, etc.)
- Exposure to a range of analytical techniques
- Strong data storytelling skills
- Keen interest to develop new technical skills
- Passion for problem-solving
- Comfortable working with messy data
Additionally, any experience of the following would be highly advantageous:
Qualifications / Nice-to-have
- Python skills for data transformation & analysis
- Experience with MongoDB or non-relational databases
- Experience of cloud environments
This role will suit a confident self-starter who can work collaboratively within a team while developing their skillset.
Please send your CV for an informal chat and full job description. Excellent opportunity!
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Graduate/Junior Data Analyst - SQL/Python - New Role (REF39) in Bristol employer: RedRock Resourcing
As an award-winning law firm, we pride ourselves on fostering a dynamic work culture that champions innovation and digital transformation. Our Bristol location offers a hybrid working model, allowing for flexibility while enjoying a collaborative environment, alongside excellent benefits such as private health insurance and personal training allowances to support your professional growth.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate/Junior Data Analyst - SQL/Python - New Role (REF39) in Bristol
✨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 RedRock Resourcing!
✨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 Graduate/Junior Data Analyst - SQL/Python - New Role (REF39) at RedRock Resourcing.
✨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 RedRock Resourcing.
✨Apply Directly through Our Website
When you find a suitable opening like Graduate/Junior Data Analyst - SQL/Python - New Role (REF39) at RedRock Resourcing, 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 Graduate/Junior Data Analyst - SQL/Python - New Role (REF39) in Bristol
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 RedRock Resourcing, 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 RedRock Resourcing. 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 RedRock Resourcing
✨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 RedRock Resourcing!
✨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.
