At a Glance
- Tasks: Design and develop impactful Tableau dashboards to support strategic business decisions.
- Company: Join a leading UK wealth manager with a global client base.
- Benefits: Flexible working, competitive salary, and exposure to financial services.
- Other info: Gain valuable experience in a dynamic environment with career growth opportunities.
- Why this job: Make a real impact in the financial sector using your data skills.
- Qualifications: 5 years of Tableau expertise and strong SQL knowledge required.
The predicted salary is between 75000 - 75000 £ per year.
Tableau Specialist 75k Flex Working Quant Capital is urgently looking for a Tableau Specialist with data skills to join our high profile client.
Our client is a well know UK wealth manager with clients across the globe, they offer Institutional and Retail wealth management.
Their post Covid policy is to automate as much internally as they can for their clients.
Technology is now more important in Financial services than it has ever been, understanding and utilising data, from clean to raw is this firms priority.
The Tableau expert will be responsible for the scope, design, build, management, and oversight of major dashboard designs within the Commercial Analytics team; providing robust solutions to support strategic aims.
The team will provide analytical support to Ex Co members and management teams, primarily through interactive dashboards.
This will include the proactive provision of potential business initiatives based on facts and evidence (market trends, competitor analysis etc) that align to and support our strategic roadmap.
- The
- Tableau
Specialist
- Support the business in evaluating investment and business opportunities.
- Supporting the business in delivery of its objectives and improvement in financial performance.
- Market and peer group analysis.
- Understanding of development, data modelling and ETL knowledge that includes Data warehouse Data Modelling, Star and Snowflake schema.
- Strong understanding of relevant technologies (Cube Design, SQL/MDX).
- Hands on experience querying MS-SQL
- Data scoping.
- Design, development, testing and deployment of Tableau Dashboards.
- Structure ambiguous business problems and recommend visualization solutions.
- Leverage advanced Tableau functionality (parameters, actions, tooltip modifications, API, etc.) to create analytical dashboards.
The Technical Analyst must have
- 5 years Tableau – an expert
- 3+ years developing executive level and operational dashboards using tools such as Tableau, COGNOS, Business Objects or 2+ years working in a CRM delivery role.
- Demonstrated ability to take detailed requirements and convert into actionable documents.
- Strong background in all aspects of database technology.
- Proven ability to perform under pressure and adjust plans to meet changing needs and requirements.
- Strong understanding of relevant technologies (Cube Design, SQL/MDX).
- Hands on experience querying MS-SQL
- Data scoping.
- Experience with Microsoft Excel (advanced).
- Experience with SQL and Relational Databases.
- Ability to evaluate quantitative data sets and determine ‘big picture’ implications required.
This is a new role working closely with the business team where you will gain serious exposure to financial services and asset management.
My client is based in Central London with 2 days expected in the Office.
Tableau Specialist in London employer: Quant Capital
Quant Capital is an excellent employer for those looking to thrive in the fintech sector, offering a vibrant work culture that fosters innovation and collaboration. With substantial training and development opportunities, employees can enhance their skills while enjoying a flexible hybrid work model in the heart of London. Join us to be part of a forward-thinking team that values growth and cutting-edge technology.
StudySmarter Expert Advice🤫
We think this is how you could land Tableau Specialist in London
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We think you need these skills to ace Tableau Specialist in London
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 Quant Capital, 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 Quant Capital. 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 Quant Capital
✨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 Quant Capital!
✨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.
