At a Glance
- Tasks: Transform business data into insights and present findings to senior stakeholders.
- Company: Join a global organisation expanding its data capabilities.
- Benefits: Competitive salary of £35,000 and opportunities for professional growth.
- Other info: Work in a dynamic environment with excellent career advancement opportunities.
- Why this job: Make a real impact by analysing data and influencing strategic decisions.
- Qualifications: Strong SQL skills and experience with data visualisation tools required.
- Data Analyst
- Solihull
- (5 days per week)
- £35,000 per annum
VIQU has partnered with a global organisation looking to expand their dat capabilities.
This role will be the sole Data Analyst position in the UK, working closely with the head of Technology, and the wider data team to transform business data into insights.
You'll be responsible for analysing and manipulating large datasets, identifying trends and potential issues before they impact the business, and presenting clear recommendations to senior stakeholders, including board-level leadership.
Must have hands on expereince with SQL, and data visualisation tools.
Experience required for the Data Analyst
Strong SQL skills.
Experience using data visualisation tools such as Power BI, Tableau, Looker Studio, Google Analytics or similar.
Strong analytical and problem-solving skills with the ability to interpret complex datasets.
Experience presenting findings to senior stakeholders in a clear and commercially focused manner.
Ability to commute to Solihull five days a week.
Key Responsibilities of the Data Analyst
Analyse business and operational data to identify trends, opportunities and risks.
Develop forecasting models to support strategic decision-making.
Produce dashboards, reports and presentations for senior leadership and board-level stakeholders.
Proactively identify issues before they become business problems.
Manipulate data using SQL.
Work with data held within Google Cloud Platform, including Big Query.
Apply now to speak with VIQU IT in confidence, or contact Jack Mc Manus at .
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Data Analyst employer: VIQU IT
At VIQU IT, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture in the heart of Birmingham. Our commitment to employee growth is evident through continuous professional development opportunities and a supportive environment that encourages strategic thinking and transformation. With competitive salaries and a focus on work-life balance, we empower our team to thrive while making a meaningful impact in the technology sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst
✨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 VIQU IT!
✨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 VIQU IT.
✨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 VIQU IT.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst at VIQU IT, 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
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 VIQU IT, 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 VIQU IT. 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 VIQU IT
✨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 VIQU IT!
✨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.
