Job

Data Analyst

You are a business-oriented Data Analyst combining expertise in data, knowledge graphs, and machine learning with a passion for solving real-world problems. You are eager to contribute to concrete business projects in a wide variety of domains.

If that is you, we would like to talk to you about the role of Data Engineer/Analyst for DataScouts.

DataScouts is a data technology company that supports its clients in building market and competitive intelligence by providing an AI-enabled workflow to systematically fetch and process data about competitors, innovative technologies, and market trends in rapidly changing environments.

Location: Our office is in Gent, but we are used to working remotely.

As a data analyst, you will work closely with our customers, ecosystem, and business analysts to configure DataScouts and fine-tune relevant data pipelines and visualizations for specific customer cases.

You will be in charge of integrating with relevant data sources, developing data visualizations, and customizing the AI-enabled workflow, the data pipelines, and classifiers delivering instant market and competitive insights.

You will be involved in pre-sales conversations and developing proposals for custom-specific integrations, data gathering, and reporting workflows.

You will ensure customer success in deriving valuable market and competitive intelligence.

You are a highly collaborative individual who is capable of managing your own agenda, collaborating with colleagues, and prioritizing tasks for impact.

Tasks.

You work closely with our customers, ecosystem, and business analysts on concrete Market & Competitive Intelligence projects;
You build and master a wide variety of structured and unstructured data sets to build use case-specific market and competitive insights;
You develop workflows and data pipelines to clean, normalize and enrich data;
You analyze big data sets to identify relevant patterns
You develop models and visualizations to turn data into actionable insights
You leverage your data engineering and machine learning skills to prototype solutions to optimize our data pipeline, data visualizations, and solutions
You work closely with Product Management to translate prototypes, data, and models into user-friendly and intuitive dashboards, reports, and visualizations

Profile.

We don’t expect you to be an expert in everything, but you should have,

MSc degree in a discipline such as computer science, machine learning, applied statistics, mathematics, or engineering;
First experience as a business or data analysis is an asset;
Python is essential, other languages (e.g. R and SQL) are beneficial;
Good presentation and communication skills, with the ability to explain complex analytical concepts to business people
Methodical yet creative problem solver;
Experience in applying data science and machine learning methods to real-world problems.

Additional skills and qualifications:

Driven by results and motivated by obtaining concrete deliverables.
Service-minded, detail-oriented, and quality driven
Team player
Strong analytical and planning skills
Track record in successfully leading complex projects
Fluency in English (both verbal and written). Knowledge of Dutch or French is an asset.

Offer.

You will be part of an ambitious, young, and fast-growing team. Your job will offer great variation due to customers in different industries, different domains, and different environments.

You work in a multi-disciplinary environment with our clients, consulting team, machine learning engineers, and software developers.

If you have an entrepreneurial spirit, get excited about finding smarter ways to do things, and have a burning desire to be part of a team where you can truly make a difference, we want to meet you.

Don't hesitate and get in touch with Bart via bart.frison@datascouts.eu

Interested?

Sound like something for you?

We'd love to get to know you! Send an e-mail to bart.frison@datascouts.eu with your resume and cover letter or send a link leading to a YouTube-video in wich you clarify your motivation for the vacancy.

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