At a Glance
- Tasks: Drive new business in AI analytics and guide buyers through complex sales cycles.
- Company: Join ThoughtSpot, a leader in AI-powered analytics with a dynamic team.
- Benefits: Enjoy remote work flexibility, competitive salary, and growth opportunities.
- Other info: Collaborate with marketing and customer success in a hybrid work environment.
- Why this job: Make an impact in the booming BI/Analytics space with innovative technology.
- Qualifications: Experience in data analytics software sales and strong communication skills.
The predicted salary is between 42750 - 52250 £ per year.
Thought Spot seeks a Commercial Account Executive to own a territory of mid-market accounts and drive new business in the BI/Analytics space.
You will prospect, demonstrate Thought Spot’s AI-powered analytics, and guide buyers through complex buying cycles with value-led messaging.
You will operate in a hybrid/remote setting, collaborating with marketing and customer success to accelerate pipeline and close deals with large organisations.
Prior success in data analytics software sales is preferred.
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Remote Commercial Account Executive — AI Analytics employer: Next Legacy Partners
At LaunchDarkly, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters creativity and collaboration. As a Senior EMEA Marketing Manager, you will have the opportunity to shape innovative marketing strategies while working closely with sales teams across diverse European markets. Our commitment to employee growth is reflected in our supportive environment, where your contributions are valued, and your professional development is encouraged.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Commercial Account Executive — AI Analytics
✨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 Next Legacy Partners.
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We think you need these skills to ace Remote Commercial Account Executive — AI Analytics
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 Next Legacy Partners, 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 Next Legacy Partners. 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 Next Legacy Partners
✨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 Next Legacy Partners!
✨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.
