At a Glance
- Tasks: Dive into data analysis, modelling, and governance while collaborating on innovative projects.
- Company: Brillio, a global tech consulting firm driving innovation in various industries.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Exciting career development opportunities in a fast-paced, agile environment.
- Why this job: Join a dynamic team and make an impact with cutting-edge technologies in data.
- Qualifications: Experience in data analysis, SQL, and strong communication skills are essential.
The predicted salary is between 35000 - 45000 £ per year.
Brillio is a global technology consulting organization focused on leveraging emerging technologies for innovation and application modernization in the Banking & Finance, Utilities, CPG, Retail, Technology, Media and Entertainment Industries. We partner with companies to identify new technology strategies to help businesses transform in order to advance performance and competitiveness. The Brillio difference is in our agility, business-focused innovation and industry expertise. Let our experts show you how to take the innovation leap.
Job Description
- Good hands-on knowledge of SSIS
- Strong experience in data analysis, profiling and data modelling
- Experience consulting and implementing data governance and data quality management
- Good to have - Experience in analytics and ML tools such as Azure ML, R/Python, SAS
- Good to have – prior exposure to model building on SAS, data storytelling
- Proficiency in using query languages such as SQL
- Strong analytical and quantitative problem-solving ability
- Enjoys dirtying hands with data, coding is part of life
- Strong interpersonal and communication skills: ability to tell a clear, concise, actionable story with data, to folks across various levels of the company.
- Experience developing enterprise solutions using designing and building frameworks, enterprise patterns, database design and development in: Azure (Azure SQL DW, Azure Data factory, HDInsight, Cosmos DB, PostgreSQL, SQL on Azure)
- Exposure to Frameworks, reusable components, accelerators, CI/CD automation
- Languages (Python)
- Ability to profile data, assess data quality in the context of business rules, and incorporate validation and certification mechanism to ensure data quality
- Excellent presentation, written and verbal communication skills required.
- Collaborate with Scrum Master and PMO to organize deliverables into phases and sprints; drive estimation and sizing, contribute actively to planning and scheduling the solution implementation
Additional Information
All your information will be kept confidential according to EEO guidelines.
Data Analyst in Leeds employer: Brillio LLC
Brillio is an exceptional employer that fosters a dynamic work culture where innovation and collaboration thrive. As a Data Analyst, you will benefit from extensive opportunities for professional growth and development, working alongside industry experts in a supportive environment that values agility and creativity. Located in a vibrant tech hub, Brillio offers a unique chance to engage with cutting-edge technologies while contributing to transformative projects across various sectors.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Leeds
✨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 Brillio LLC!
✨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 Brillio LLC.
✨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 Brillio LLC.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst at Brillio LLC, 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 Leeds
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 Brillio LLC, 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 Brillio LLC. 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 Brillio LLC
✨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 Brillio LLC!
✨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.
