At a Glance
- Tasks: Analyse data to improve city infrastructure and support decision-making.
- Company: Birmingham City Council, committed to modern, data-driven management.
- Benefits: Generous pension contributions, 30 days holiday, and employee discounts.
- Other info: Join a diverse team focused on equality and professional growth.
- Why this job: Make a real difference in your community through impactful data analysis.
- Qualifications: Experience with analytical tools like Excel, Power BI, and SQL.
The predicted salary is between 35412 - 44075 £ per year.
Birmingham City Council is driving forward a modern, data‑led approach to managing and improving the city’s highways and infrastructure. Our Network Management and Highway Approvals Team plays a vital role in ensuring the city’s roads operate safely, efficiently and in line with the Traffic Management Act 2004.
As a Data Analyst, you will support the Senior Data Analyst and Data Manager in delivering high‑quality data analysis, performance reporting and evidence‑based insight. Your work will directly contribute to the Council’s statutory Network Management Duty and help ensure that works on the highway are well‑managed, compliant and financially reconciled.
You will:
- Collate, organise and analyse data to produce KPIs, performance dashboards and management information.
- Identify trends, measure performance and highlight opportunities for improved efficiency.
- Gather evidence to support fines and fees associated with the Permit Scheme, Specified Licences and Footway Crossing applications.
- Liaise with internal teams and external stakeholders to recover outstanding charges.
- Validate, process and reconcile financial information and invoices in line with established procedures.
- Prepare reports, reviews and presentations, ensuring accuracy and clarity.
- Manage daily correspondence and enquiries through to resolution.
We’re looking for someone who is analytical, detail‑driven and confident working with complex datasets. You should have:
- Experience working in data‑led or innovation‑focused teams.
- Excellent IT skills, including strong knowledge of analytical tools and software such as Excel, Power BI, and SQL.
- Ability to analyse, interpret and advise on financial, statistical and technical information.
- Strong problem‑solving skills with the ability to adapt to changing circumstances.
- High level of accuracy and attention to detail.
- Excellent verbal and written communication skills, able to present evidence clearly and confidently.
- Ability to prioritise workload and apply rational and lateral thinking to achieve results.
- Understanding of relevant Highways legislation, including the Traffic Management Act and associated regulations.
- Awareness of data licensing, GDPR and data governance principles.
- Knowledge of web technologies, including web services, development frameworks and languages.
What We Offer In Return:
- Membership of West Midlands Pension Fund – with generous employer contributions.
- Enhanced Holiday Entitlement – 30 days, increasing with length of service.
- My Rewards Scheme – access to 800+ brands providing discounts and savings.
- Health and wellbeing support – independent and confidential employee assistance and counselling, occupational health.
Birmingham City Council is an accredited Disability Confident Leader employer, and we are committed to employing, retaining and developing all of our people.
Proof of right to work in the UK will be required for all applicants in accordance with UK Home Office requirements before any employment offer can be confirmed. Sponsorship is not available for this post. Applicants must have the right to work in the UK that does not require employer sponsorship for the duration of the appointment.
Data Analyst in Birmingham employer: WMJobs
Birmingham City Council is an exceptional employer, offering a supportive work culture that prioritises employee wellbeing and professional growth. As a Data Analyst, you will benefit from generous holiday entitlement, access to a comprehensive rewards scheme, and the opportunity to contribute to meaningful projects that enhance the city's infrastructure. With a commitment to equality and diversity, the Council fosters an inclusive environment where your skills and insights can make a real impact.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Birmingham
✨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 WMJobs!
✨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 WMJobs.
✨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 WMJobs.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst at WMJobs, 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 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 WMJobs, 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 WMJobs. 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 WMJobs
✨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 WMJobs!
✨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.
