Collecting and analyzing data since its founding in 2005, Vast has become the premier provider of AI and data solutions for many of the largest Global 1000 businesses.
Used by over 16,000 dealers, CarStory combines artificial intelligence and the industry’s largest database of inventory and shopper insights, to help dealers sell more cars and make more money. As the pioneer of Inventory Intelligence, CarStory’s predictive AI sets a new standard for transforming analytics into answers.
HomeStory is a leading partner of digital consumer experiences for companies in the financial and real estate industries. We are a diverse set of talents with the mission to create the best customer experiences in big data analytics and artificial intelligence, enabling people to make better decisions for life’s largest purchase – their home.
Description:
Vast is looking to hire a talented and highly motivated Data Analyst to join our Data Operations Team. You will be acquiring, analyzing, processing and normalizing automotive and real estate data, with an exceptional attention to detail.
Responsibilities:
- Acquire a high level of subject matter expertise in order to improve our data.
- Be in charge of Vast’s high accuracy Big Data standards that represent the foundation of all our products.
- Assist the team in achieving its goals and complete your individual tasks in a timely manner.
Requirements:
- Degree in IT or a relevant field.
- Experience with Unix/Linux.
- Strong research, analytical and logical skills.
- Fluency in English language, with strong communication skills.
You also need to have the ability to:
- Dig up deep information on the web.
- Review large amounts of information in a short time and draw conclusions.
- Come up with the engineering instructions on how to automate certain manual processes.
- Quickly learn and adapt to the new tools and processes.
Some of the benefits of working at Vast include:
- Full time employment, with a 3 months probation
- Competitive compensation
- 25 days of paid vacation
- Paid home and mobile internet
- 100% paid sick leave for up to 30 days a year
- Equipment for the Home Office
- Budget for training, certificates and books
- Individual psychological-educational sessions
- English language classes
- Virtual and real team gatherings and activities
- Sports activities
If you’re a passionate learner and you are excited to work with our data, feel free to send your resume electronically, we’ll be glad to talk to you.
Deadline for applications: 24.10.2020.
