At a Glance
- Tasks: Drive new business in Data & Analytics, managing the full sales cycle and closing high-value deals.
- Company: Leading Data & Analytics consultancy with strong partnerships and a stellar reputation.
- Benefits: Competitive salary with uncapped commission, flexible working, and career growth opportunities.
- Other info: Hybrid work model with a focus on collaboration and innovation.
- Why this job: Join a dynamic team and make an impact in the evolving world of data and AI.
- Qualifications: Proven sales experience in tech, strong relationship-building skills, and a passion for data solutions.
Start Date: Flexible
Working Model: Hybrid, predominantly in London (we're HQ'd in Bristol, but on-site requirements for this role will be mostly in London in the offices our technology partners & clients, or at industry or Snap-hosted events)
Salary: £120,000 basic + uncapped commission (realistic OTE of £180,000-£220,000; top performers can earn significantly more)
Why the role exists… As enterprises modernise SAP and invest in AI, demand is shifting from data platforms to intelligent, governed business execution, creating a significant opportunity for Snap's SAP, Snowflake and Databricks expertise.
We’re a specialist Data & Analytics consultancy of 177 people with established partnerships across SAP, Snowflake and Databricks, a strong reputation for delivery and a pipeline of £16M+ in opportunities built largely through partner referrals, events and direct relationships. Clients continue to work with us and recommend us because we deliver on our commitments and build long-term trusted relationships.
We're now looking to make one of our first dedicated Enterprise Account Executive hires. You'll focus on winning new business across our Data & Analytics practice, helping organisations solve complex challenges through SAP transformation, Snowflake, Databricks and modern data platform engagements that often bring all three together.
This is a ‘hunting’ role. You’ll own the full sales cycle, generate a partner-aligned pipeline and close complex consulting engagements typically worth £500k-£1M+. You’ll have a BDR supporting you and a partner ecosystem that is primed to co-sell. We just need someone who can run it.
Enterprise Account Executive (Data & Analytics) employer: snapanalytics
As a Senior AI Consultant at our company, you will join a dynamic and innovative team that values collaboration and creativity in the heart of a thriving tech hub. We offer competitive benefits, a supportive work culture that prioritises employee growth, and unique opportunities to lead impactful projects with key clients. Our commitment to nurturing talent ensures that you will have the resources and mentorship needed to advance your career while making a meaningful difference in the field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Enterprise Account Executive (Data & Analytics)
✨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 snapanalytics!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Enterprise Account Executive (Data & Analytics) at snapanalytics.
✨Leverage Professional Networks
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 snapanalytics.
✨Apply Directly through Our Website
When you find a suitable opening like Enterprise Account Executive (Data & Analytics) at snapanalytics, 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 Enterprise Account Executive (Data & 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 snapanalytics, 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 snapanalytics. 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 snapanalytics
✨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 snapanalytics!
✨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.
