At a Glance
- Tasks: Analyse data, develop dashboards, and provide actionable insights to drive business performance.
- Company: Dynamic company in Birmingham with a focus on data-driven decision-making.
- Benefits: Hybrid working, competitive salary, professional development, and a supportive team environment.
- Other info: Great opportunities for career progression and exposure to diverse business stakeholders.
- Why this job: Join a growing team and make an impact by turning complex data into meaningful insights.
- Qualifications: Experience in data analysis, strong SQL skills, and proficiency in Power BI.
The predicted salary is between 30000 - 30000 £ per year.
Location: Birmingham (Hybrid)
Job Type: Full-time
Salary: £30,000
About the Role
We are looking for a Data Analyst to join a growing data and insight team. This role is responsible for developing analysis and reporting capabilities, identifying trends, monitoring business performance, and delivering actionable insights that support strategic decision-making. Working closely with key stakeholders, you will analyse complex datasets, develop dashboards and reports, improve data quality, and help drive business performance through data-led recommendations.
Key Responsibilities
- Analyse data to identify trends, patterns, and opportunities for business improvement.
- Develop, maintain, and enhance dashboards and reports using Power BI.
- Write and optimise SQL queries to extract, manipulate, and analyse data.
- Build and maintain data sources from multiple systems.
- Support stakeholders by providing meaningful analysis and actionable insights.
- Define and implement data acquisition and integration processes.
- Monitor data quality and recommend process improvements.
- Produce clear documentation and present findings to both technical and non-technical audiences.
- Assist business teams in understanding and accessing data.
- Support projects by providing technical data analysis and reporting.
- Ensure compliance with data protection, governance, and information security requirements.
Requirements
Essential
- Previous experience in a Data Analyst or similar analytical role.
- Strong SQL skills and experience working with relational databases.
- Experience developing reports and dashboards using Power BI.
- Experience with Python, R, XML, JavaScript, or ETL tools.
- Strong analytical and problem-solving skills.
- Excellent communication and stakeholder management skills.
- High level of accuracy and attention to detail.
- Ability to interpret complex data and present findings clearly.
- Experience managing multiple priorities and meeting deadlines.
Desirable
- Experience within the financial services sector.
- Experience in a B2B environment.
- Knowledge of data modelling, data mining, and segmentation techniques.
- Experience supporting pricing, underwriting, or commercial analytics.
- Relevant degree in Data Analytics, Computer Science, Mathematics, Statistics, or a related discipline.
What's on Offer
- Hybrid working arrangement.
- Opportunity to work with large and varied datasets.
- Collaborative and supportive team environment.
- Exposure to a wide range of business stakeholders.
- Opportunities for professional development and career progression.
If you are passionate about using data to solve business problems and enjoy turning complex information into meaningful insights, we would love to hear from you.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Birmingham
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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 Warwick Recruit.
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We think you need these skills to ace Data Analyst in Birmingham
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 Warwick Recruit, 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 Warwick Recruit. 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 Warwick Recruit
✨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!
✨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 Warwick Recruit!
✨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.
