At a Glance
- Tasks: Design and maintain interactive Tableau dashboards for Banking and Wealth Markets.
- Company: Join GlobalData Plc, a leader in market research and insights.
- Benefits: Gain valuable experience in a fast-paced, globally connected environment.
- Other info: Collaborate with a dynamic team and promote best practices in dashboard design.
- Why this job: Transform complex data into intuitive visuals and make an impact.
- Qualifications: Experience with Tableau and strong analytical skills required.
The predicted salary is between 31500 - 38500 Β£ per year.
Global Data Plc is seeking a Data Analyst to design, build and maintain interactive Tableau dashboards for Banking, Payments, Insurance and Wealth Management research.
You will transform complex datasets into intuitive visuals, collaborate with analysts, ensure data quality, and promote best practices in dashboard design across the team.
Join a fast-paced, globally connected environment where you will work with large market datasets, survey data, and proprietary research.
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Tableau Data Analyst β Banking & Wealth Markets Insights in London employer: GlobalData Plc
GlobalData Plc is an exceptional employer, offering a dynamic work culture that prioritises employee growth and development. With a focus on strategic client relationships in the pharma sector, employees benefit from a hybrid working environment in London, fostering collaboration and innovation while enjoying competitive benefits and opportunities for professional advancement.
StudySmarter Expert Adviceπ€«
We think this is how you could land Tableau Data Analyst β Banking & Wealth Markets Insights in London
β¨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 GlobalData Plc!
β¨Show Off Your Projects
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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 GlobalData Plc.
β¨Apply Directly through Our Website
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We think you need these skills to ace Tableau Data Analyst β Banking & Wealth Markets Insights in London
Some tips for your application π«‘
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. Donβt 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 GlobalData Plc, 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 youβre 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 GlobalData Plc. 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 GlobalData Plc
β¨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!
β¨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, itβll really make us stand out!
β¨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 GlobalData Plc!
β¨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how weβd 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.