At a Glance
- Tasks: Drive strategic Data 360 opportunities and partner with teams for growth.
- Company: Salesforce, a leader in Data & AI innovation.
- Benefits: Competitive salary, flexible work options, and career development.
- Other info: Join a high-growth team with exciting career prospects.
- Why this job: Shape the future of customer data and AI across diverse industries.
- Qualifications: Experience in sales and a passion for technology.
The predicted salary is between 49500 - 60500 £ per year.
Salesforce is seeking an Account Executive to join its high-growth Data 360 business within the Data & AI organisation. In this specialist role, you will drive strategic Data 360 opportunities across UK Commercial (Mid-Market) accounts, partnering with core account teams to accelerate adoption and revenue growth. This high-visibility role offers the chance to shape cutting-edge customer data and AI transformations across diverse industries, collaborating with cross-functional teams to navigate.
Data 360 Account Executive — UK Mid-Market in London employer: MOBOLISE
MOBOLISE is an exceptional employer that fosters a vibrant and supportive work culture in the heart of Himley, England. As a Kitchen Team Leader, you will not only lead a passionate team but also enjoy opportunities for personal growth and development in a unique country-style pub setting, where your culinary skills can truly shine. With a focus on teamwork and excellence, we offer a rewarding career path that values your contributions and encourages creativity in every dish served.
StudySmarter Expert Advice🤫
We think this is how you could land Data 360 Account Executive — UK Mid-Market in London
✨Get Involved in Data Science Meetups
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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 MOBOLISE.
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We think you need these skills to ace Data 360 Account Executive — UK Mid-Market 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 MOBOLISE, 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 MOBOLISE. 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 MOBOLISE
✨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 MOBOLISE!
✨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.
