At a Glance
- Tasks: Bridge business and tech teams, lead discussions, and define data solution requirements.
- Company: Join EXL, a leading company in the insurance data sector.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborate with global teams and enhance your project management expertise.
- Why this job: Make a real impact by delivering innovative data solutions in a dynamic environment.
- Qualifications: 7-10 years of experience in Power BI and strong communication skills.
The predicted salary is between 60000 - 84000 £ per year.
EXL is looking for a Senior Technical Business Analyst to join our London team.
This role focuses on bridging the gap between business stakeholders and technical teams, requiring strong experience in Power BI reporting and insurance domain knowledge.
You will lead stakeholder discussions, define requirements, and coordinate with offshore teams to ensure successful delivery of data solutions.
The ideal candidate has 7-10 years of experience and proven skills in communication, documentation, and project management, with a strong understanding of data structures and analytics delivery.
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Senior Technical BA: Power BI & Insurance Data employer: exl
EXL is an excellent employer that fosters a collaborative and innovative work culture in the heart of London. With a strong emphasis on employee growth, we offer numerous opportunities for professional development and skill enhancement, particularly in the dynamic field of data analytics and insurance. Our commitment to work-life balance and a supportive environment makes EXL a rewarding place to build a meaningful career.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Technical BA: Power BI & Insurance Data
✨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 exl!
✨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 Senior Technical BA: Power BI & Insurance Data at exl.
✨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 exl.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Technical BA: Power BI & Insurance Data at exl, 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 Senior Technical BA: Power BI & Insurance Data
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 exl, 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 exl. 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 exl
✨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 exl!
✨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.
