At a Glance
- Tasks: Analyse business needs and develop solutions in a Cloud-based environment.
- Company: Join a leading Identity Access Management organisation and Microsoft Gold partner.
- Benefits: Hybrid working, career growth, and salary increases for every Microsoft exam passed.
- Other info: Exciting opportunities for professional development and a commitment to quality.
- Why this job: Make an impact in digital identity and security while advancing your career.
- Qualifications: Degree in a relevant field and experience in software development lifecycle.
The predicted salary is between 60000 - 75000 £ per year.
We are working with a leading Identity Access Management organisation, a Microsoft Gold partner, that's hiring several Business Analysts to join the team following recent project wins.
Key responsibilities include:
- Understanding business challenges and their needs
- Providing analysis within the full software development lifecycle in a Cloud-based environment during requirements capture, design, verification, testing, and release phases
Requirements:
- Extensive experience in analysis
- Knowledge of and interest in digital identity and security
- Experience in a quality-focused environment
- Degree in a relevant subject (e.g. technical, computer science)
Additional information:
- Hybrid Working
- Excellent career growth opportunity
- Salary increase for every Microsoft exam pass
Please apply for a confidential chat.
Business Analyst, Business Analysis in Edinburgh employer: Tilo Consulting
Join a dynamic and innovative team in Manchester, where the excitement of a startup meets the stability of an established company. As a User Researcher Designer, you'll have the opportunity to shape the UX landscape from the ground up, with access to an industry-leading benefits package and a collaborative work culture that fosters creativity and growth. This role not only allows you to influence cutting-edge technology but also supports your professional development in a thriving environment.
StudySmarter Expert Advice🤫
We think this is how you could land Business Analyst, Business Analysis in Edinburgh
✨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 Tilo Consulting!
✨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 Business Analyst, Business Analysis at Tilo Consulting.
✨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 Tilo Consulting.
✨Apply Directly through Our Website
When you find a suitable opening like Business Analyst, Business Analysis at Tilo Consulting, 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 Business Analyst, Business Analysis in Edinburgh
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 Tilo Consulting, 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 Tilo Consulting. 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 Tilo Consulting
✨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 Tilo Consulting!
✨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.
