At a Glance
- Tasks: Join a dynamic fintech team as a Salesforce Data Analyst, driving data management and business analysis.
- Company: Innovative fintech company disrupting the wealth management market.
- Benefits: Autonomy in your role, competitive salary, and opportunities for global impact.
- Other info: Work closely with the CEO and enjoy excellent career growth opportunities.
- Why this job: Be the go-to Salesforce expert and shape data-driven decisions for a leading firm.
- Qualifications: Experience in Salesforce administration and a passion for data and business intelligence.
The predicted salary is between 49500 - 60500 £ per year.
Quant Capital is urgently looking for a Salesforce Analyst to join our high profile client. Our client is a well known fintech software business disrupting the Wealth management market. This is a new role joining the sales data team responsible for Salesforce Administration as well as data management and business analysis for the sales team and sales pipeline planning. This is a key role for my client growing its client base and its operations globally. This role offers great autonomy as you will be the go to person regarding Salesforce in the whole firm globally as well as working with the CEO.
Day to day the Salesforce Administrator will:
- Collation and documentation of Sales and Business processes, policies and procedures
- Maintain the integrity of the Salesforce database
- Periodically run workgroups to collate system requirements to underpin documented processes
- Take the lead on business systems, devising solutions to ensure maximum benefit from our data assets to drive reliability, improve customer service and ensure value for money
- Build capability towards putting data at the heart of business decision making
- Lead on the development of tools, processes and systems that enable world class decision support solutions that support the needs of the business and end customer
- Develop solutions for Data Input and Data Integration as well as analysis and reporting
- Take the lead on all related proposals and business development initiatives
- Be the team BI lead
Salesforce Data Analysts Must have:
- Excellent knowledge and experience of data / data management
- Focus on Business Intelligence
- Salesforce Administration
- Ideally Mulesoft or a similar tool
- Experience in supporting and proactively working with sales and marketing teams
- Understanding of sales pipelines
- Interest in data and reporting
- Proficient in Microsoft products; Word, Excel, Project, PowerPoint, MS Access, Visio
My client is based in Kingston.
Salesforce Data Business Analyst Fintech Sales 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 Salesforce Data Business Analyst Fintech Sales in London
✨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 Quant Capital!
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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 Quant Capital.
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When you find a suitable opening like Salesforce Data Business Analyst Fintech Sales at Quant Capital, 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 Salesforce Data Business Analyst Fintech Sales 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.
