Strategic Enterprise Data Solutions Lead

Strategic Enterprise Data Solutions Lead

Full-Time 70000 - 105000 £ / year (est.) No working from home possible
Role, Inc.

At a Glance

  • Tasks: Drive new business growth and develop relationships in the Greater London area.
  • Company: Role, Inc. - a leader in enterprise sales and data solutions.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Ideal for self-starters passionate about data ecosystems and innovative solutions.
  • Why this job: Join a dynamic team and make an impact in the SaaS and data infrastructure space.
  • Qualifications: 7+ years in enterprise sales with strong communication and relationship-building skills.

The predicted salary is between 70000 - 105000 £ per year.

Role, Inc. is seeking an experienced sales professional to drive new logo development and growth in the Greater London area. The ideal candidate will have over 7 years of experience in enterprise sales, particularly in the SaaS and data infrastructure domains, and be adept at navigating complex buying cycles.

This role requires exceptional communication and relationship-building skills, as well as a self-starter mindset. Familiarity with data clean rooms and cloud data ecosystems is preferred.

Strategic Enterprise Data Solutions Lead employer: Role, Inc.

At Role, Inc., we pride ourselves on being an exceptional employer that fosters a dynamic and inclusive work culture in the heart of Greater London. Our commitment to employee growth is evident through tailored development programmes and opportunities for advancement within the rapidly evolving SaaS and data infrastructure sectors. Join us to be part of a forward-thinking team that values innovation, collaboration, and meaningful contributions to our clients' success.

Role, Inc.

Contact Details:

Role, Inc. Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Strategic Enterprise Data Solutions Lead

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Apply Directly through Our Website

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We think you need these skills to ace Strategic Enterprise Data Solutions Lead

Communication Skills
Problem-Solving Skills
SQL
Python
Data Governance
Data Engineering
ETL/ELT Processes

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 Role, Inc., 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 Role, Inc.. 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 Role, Inc.

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 Role, Inc.!

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.