At a Glance
- Tasks: Own CRM admin, ensure data quality, and create dashboards for pipeline visibility.
- Company: Join Omnea, an innovative AI-native GTM engine company.
- Benefits: Gain valuable experience in a high-growth B2B SaaS environment.
- Other info: Dynamic role with opportunities for professional growth and development.
- Why this job: Make an impact on revenue operations and learn about scaling businesses.
- Qualifications: Analytical skills and a passion for data-driven decision making.
The predicted salary is between 72000 - 88000 £ per year.
Omnea is building an AI-native GTM engine to streamline procurement and revenue operations.
As a Revenue Operations Associate, you’ll own CRM administration, data quality, and build dashboards that drive visibility across pipeline health and performance.
You’ll work at the intersection of GTM, Customer, and Finance, gaining exposure to how a high-growth B2B Saa S business scales while contributing to process automation and data-driven decision making.
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RevOps & GTM Data Analyst in London employer: Omnea
At Omnea, we pride ourselves on being a dynamic and innovative employer that fosters a culture of growth and collaboration. As a Revenue Operations Associate, you'll be immersed in a fast-paced environment where your contributions directly impact our high-growth trajectory, all while enjoying competitive benefits and the opportunity to work alongside industry leaders. Our commitment to diversity and inclusion ensures that every voice is heard, making Omnea not just a workplace, but a community where you can thrive and develop your career.
StudySmarter Expert Advice🤫
We think this is how you could land RevOps & GTM Data Analyst 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 Omnea!
✨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 RevOps & GTM Data Analyst at Omnea.
✨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 Omnea.
✨Apply Directly through Our Website
When you find a suitable opening like RevOps & GTM Data Analyst at Omnea, 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 RevOps & GTM Data Analyst 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 Omnea, 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 Omnea. 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 Omnea
✨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 Omnea!
✨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.
