At a Glance
- Tasks: Transform data into insights and support decision-making in a dynamic team.
- Company: Join a growing company in Bristol with a hybrid work model.
- Benefits: Competitive salary up to £65k, annual bonus, and flexible working.
- Other info: Collaborative environment with opportunities for continuous improvement and career growth.
- Why this job: Make a real impact by turning complex data into meaningful business insights.
- Qualifications: 4+ years in data analysis, strong analytical skills, and experience with Power BI.
The predicted salary is between 37035 - 45265 £ per year.
Data Analyst
Location
Bristol (Hybrid – 1/2 times a week)
Salary
Up to 65k (Depending on experience) + annual bonus
About the Role
We're looking for an organised, analytical, and proactive
Data Analyst to join a growing team, supporting data-driven decision-making across client implementations, business change initiatives, and internal projects.
This is an excellent opportunity for someone who enjoys working with data in a fast-paced, collaborative environment and is passionate about turning complex information into meaningful insights that improve business performance and decision-making.
We're looking for someone who has
- At least 4 years' experience in a data analyst, performance analyst, business intelligence analyst or similar role focused on operational or delivery performance.
- Strong analytical skills, including the ability to profile, cleanse, reconcile and interpret data from multiple sources.
- Strong hands-on experience with Azure Dev Ops.
- Strong experience using Power BI.
- Good working knowledge of data querying.
- Experience and working knowledge of SQL.
- Good knowledge of Power Query, data modelling, relationships and DAX measures.
- Experience defining baselines, targets, KPIs and supporting measures that show performance and progress and outcomes.
- Strong stakeholder engagement and delivery.
- Experience presenting analysis and recommendations to senior stakeholders.
Key Responsibilities
- Building a clear view of performance
- Extracting and preparing data
- Developing Power BI reporting
- Turning data into insights
- Strengthening measurement discipline
- Supporting transformation and continuous improvement
- What You'll Bring
- Strong attention to detail.
- A collaborative and positive approach.
- Confidence working with senior stakeholders.
- An analytical and curious mindset.
- Resilience and adaptability in a changing environment.
- A commitment to delivering high-quality outcomes.
Locations
Data Analyst in Newport, Wales employer: RedRock Resourcing
Join a highly respected organisation as an Information Security Officer, where you will play a pivotal role in shaping the future of information security. Our collaborative Technology Security team fosters a culture of security and offers excellent opportunities for professional growth, ensuring that your expertise in governance, risk management, and technical security is valued and impactful. With a commitment to continuous improvement and compliance, you'll be part of a dynamic environment that prioritises employee development and promotes best practices in digital wellbeing.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Newport, Wales
✨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 Data Analyst 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 Data Analyst 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 Data Analyst in Newport, Wales
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.
