Signals is a rapidly growing start-up company with a vision to revolutionize the way world leading companies make decisions based on big data analytics and insights. We quickly transform external data and unstructured data sources covering consumers, markets, and technologies into tangible insights on how to grow products and brands.
The Delivery department is responsible for identifying, collecting, validating, processing and curating information from the open web that to create the foundation of the Signals analytics solution. Analysts work with a collection of automated tools for ripping, crawling and cherry picking information available off the open web – like patent databases, industry conferences, company websites, and economic figures and academic research on a plethora of topics. Then, they are responsible for data cleansing, normalization, and classification using advanced tools and processes to create a highly relevant and accurate data set to enable insight identification.
We are looking for a skilled information scientist to join our young and dynamic team as a Data Analyst. We are looking for a highly motivated data enthusiast who will be dedicated to collecting open-source intelligence (OSINT), organizing data and finding insights on a variety of topics.
If you are a native French/ German/ Chinese/ Russian/Portuguese speaker and are passionate about collecting open-source data and finding insights on F&B, CPG, and Healthcare verticals then this job is for you!
*Temporary position (after four months possibility for full-time employment)*
BA in Biology/Chemistry/Physics/Psychology/Neuroscience - Must
Highly developed analytic skills
Ability to gather open source information, data mine and extract crucial details from data
A quick and passionate learner, curious about diverse fields
Research background may be military, educational or professional
Passionate about information and data, able to think creatively and out of the box, detail oriented, autonomous, a quick learner, organized and precise
MA/MBA and above
Experience in Web Intelligence (WEBINT) methodologies
Experience in Life Sciences/ICT
Experience in business intelligence