At a Glance
- Tasks: Transform raw data into actionable insights and develop engaging dashboards.
- Company: Dynamic tech company in Leeds with a hybrid work model.
- Benefits: Competitive salary, bonus, benefits, and opportunities for professional growth.
- Other info: Join a collaborative team focused on innovation and data excellence.
- Why this job: Make a real impact by driving business decisions through data analysis.
- Qualifications: Strong analytical skills, proficiency in SQL, and experience with data visualisation tools.
The predicted salary is between 31500 - 38500 £ per year.
SAP Data Analyst
Location
Leeds (Hybrid)
Salary
£45,000+ bonus & benefits
Role Summary
This role focuses on reporting, operational insight generation, and business-facing data interpretation.
As a Data Analyst, you will be transforming raw data into actionable insights that drive business decisions.
This role focuses on analysing, interpreting, and reporting on structured datasets, ensuring data quality, and supporting strategic initiatives through business intelligence tools and analytics platforms.
- Accountabilities and Responsibilities
- Extract, clean, and analyse structured data from multiple business systems.
- Develop dashboards and reports using business intelligence, data visualisation, and analytics platforms.
- Ensure data accuracy and consistency across systems, supporting data quality initiatives.
- Support business units by translating analytical findings into clear, actionable insights.
- Contribute to data governance by adhering to data policies and supporting master data processes.
- Identify opportunities for improving reporting efficiency and implementing automation.
- Knowledge, Experience & Technical Know-How
- Strong analytical and problem-solving skills.
- Proficiency in data visualisation tools such as Power BI, Tableau, or similar platforms, alongside strong SQL skills.
- Familiarity with enterprise data systems, analytics platforms, and cloud technologies is desirable.
- Ability to communicate analytical findings to non-technical audiences.
- Experience working with operational datasets and business intelligence processes.
- Knowledge of data governance, data quality, and compliance frameworks.
- Experience in technology-focused or data-intensive environments is desirable.
Data Analyst in Bradford employer: SPG Resourcing
SPG Resourcing is an excellent employer that fosters a collaborative and inclusive work culture, making it an ideal place for HR Data & Systems Analysts to thrive. With a strong focus on employee growth, the company offers comprehensive benefits such as annual bonuses, a generous 12% employer pension contribution, and private medical insurance, all while working in vibrant cities like Manchester or Leeds. Join us to be part of meaningful global payroll projects and enhance your career in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Bradford
✨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 SPG 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 SPG 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 SPG Resourcing.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst at SPG 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 Bradford
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 SPG 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 SPG 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 SPG 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 SPG 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.
