At a Glance
- Tasks: Analyse data and deliver insightful reports while collaborating with a dynamic team.
- Company: A forward-thinking organisation focused on optimising healthcare and non-healthcare services.
- Benefits: Hybrid working, 25 days leave, wellness time, and various voluntary benefits.
- Other info: Mentorship opportunities and a supportive environment for career growth.
- Why this job: Make a real impact by improving performance and identifying cost-saving opportunities.
- Qualifications: Proficiency in Excel, strong analytical skills, and effective communication.
The predicted salary is between 27900 - 34100 £ per year.
The Opportunity: Data Analyst
As a Data Analyst, you will primarily focus on day-to-day BAU (business as usual) reporting.
This will include working on data and reporting casework and delivering one-off analytical reports and commercial analysis.
Additionally, you will work with the wider team and assist in various ad-hoc data and reporting projects as required.
Who are we?
We offer solutions to manage spend effectively and improve performance, working with both public and private healthcare and non-healthcare providers to optimise the use of products and services to identify cost saving opportunities and best value.
DUTIES (included, but not limited to)
- Deliver BAU analytical requests in a proactive and value focused manner
- Ensure that business requirements are captured correctly and that all cases are recorded and processed according to agreed procedures and governance
- Data collection, cleansing, manipulation, and analysis using Excel and other available tools
- Ensure that all allocated queries and cases are dealt with and responded to in a timely manner.
- Deliver accurate analytical reports and analyses
- Identify and suggest areas for improvement and automation.
- Collaborate with the wider team and assist with any data and reporting tasks as required.
- Work on complex casework with greater autonomy
- Mentor and support junior Data Analysts
- Represent the team at functional and business meetings at specialist and manager levels
- KNOWLEDGE, SKILLS & ABILITIES
- Developing ad-hoc reports and analysis in Excel.
- Delivering accurate work in line with requirements.
- Good understanding of data governance and management practices.
- Working collaboratively with colleagues and stakeholders.
- Data processing and creating meaningful visualisations.
- Attention to detail and natural analytical skills
- Strong verbal and written communication skills
- Excellent time management skills
- Mentorship and support skills
- Effective communication in group settings
We offer core benefits such as
- Pension
- 25 days annual leave + Bank Holidays
- Hybrid working (2-3 days from home a week)
- Me Time - block up to two hours per month in your diary to undertake activities that support your wellbeing
- Volunteering Leave
Employees can access the following voluntary benefits and more, which are available at set times during the year:
- Cycle Scheme
- Private healthcare
- Gymflex
- Technology at home
- Private GP consultations
- Purchase up to 10 days annual leave
- Electric Vehicle Leasing Scheme
- #J-18808-Ljbffr
Data Analyst in Birmingham employer: Hireful
At Hireful, we pride ourselves on being an excellent employer by fostering a collaborative and innovative work culture that empowers our employees to thrive. Located in Banbury, our hybrid work options provide flexibility, while our commitment to professional development ensures that you have ample opportunities for growth within the company. With competitive salaries and a supportive team environment, we are dedicated to making your experience both meaningful and rewarding.
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 Hireful!
✨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 Hireful.
✨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 Hireful.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst at Hireful, 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 Hireful, 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 Hireful. 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 Hireful
✨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 Hireful!
✨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.
