At a Glance
- Tasks: Qualify prospects and deliver engaging product presentations to meet client needs.
- Company: Fast-growing tech company revolutionising data analytics and visualisation.
- Benefits: Flexible working hours, career progression, and exposure to cutting-edge technologies.
- Other info: Innovative atmosphere with a focus on work/life balance and professional growth.
- Why this job: Join a dynamic team and work on impactful projects for global clients.
- Qualifications: Eagerness to excel, customer-facing skills, and knowledge of advanced analytics.
The predicted salary is between 50000 - 60000 £ per year.
A very eager and fast growing technology company, making fast analytics and visualization products that help people see and understand data of any size or format.
Customers of all sizes can use our product, and we’re pushing the boundaries for clients across Banking, Financial Services, Retail and E-commerce sectors.
Responsibilities
- Qualify prospects based on business need and technical fit.
- Prepare and deliver product presentations and demonstrations that directly address client’s business and technical requirements.
- Provide guidance and pre‑sales technical support for a successful evaluation and short sales cycle.
- Contribute product and solution knowledge for our internal and shared communities.
- Provide support for implementation and services consultations as needed.
Requirements
- Eagerness to excel as Technical Consultant. Spending up to 80% of your time preparing for that 20% of time when you’re in front of the customer.
- Ideally with past experiences at companies like Tableau, Tibco, Qlick, Micro Strategy, Pentaho, Alteryx.
- Notions of Advanced Analytics, Data Science (e. g.
Statistics and Predictive using stats programming languages such as S+, R, or SAS), Geo‑Analytics, Real Time Analytics is a must.
- Knowledge of Hadoop distributions in combination with BI tools is highly appreciated.
- Excellent customer facing skills, able to switch language/content depending on the target audience.
- Ability to translate customer functional and business requirements into a comprehensive technical solution.
- Fluent in German and English.
Benefits
- Stimulating environment where you are exposed to new leading edge technologies working for a growing organization.
- Dynamic and skilled team of professionals.
- Work on very public facing projects.
- Global Technology Company with offices throughout Switzerland, Russia and UK.
- Career Progression as the team continues to grow.
- Challenging work with the most remarkable global and local clients in various industries.
- Innovative atmosphere with passionate and responsible colleagues and management.
- Flexible working time.
- We are passionate about our product and loyal to each other and our company. We value work/life balance and offer exceptional professional and financial growth potential.
- #J-18808-Ljbffr
StudySmarter Expert Advice🤫
We think this is how you could land Technical Presale Consultant 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 Harwest!
✨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 Technical Presale Consultant at Harwest.
✨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 Harwest.
✨Apply Directly through Our Website
When you find a suitable opening like Technical Presale Consultant at Harwest, 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 Technical Presale Consultant 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 Harwest, 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 Harwest. 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 Harwest
✨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 Harwest!
✨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.
