Senior Data Analyst

Who we are ?

Sightness is an advanced analytics platform, created by transportation experts, dedicated to managing business operations and carbon footprint.

The solution enables transportation industry players—shippers, carriers, and logistics providers—to fully leverage their data by interpreting it, making it reliable and intelligible for optimal decision-making. With its three modules: Cost, Quality, and Carbon, Sightness supports them daily in optimizing the key challenges in the market: budget, service quality, and carbon footprint. Users gain full control of their data and can turn it into actionable insights to improve performance.

Our mission

Freight transport has become a strategic issue for both businesses and the planet. We believe we can have a positive impact by helping our clients (Fortune 500 companies) make better decisions by considering costs, service, and sustainability together.

Sightness is certified as a Great Place To Work and is currently undergoing B Corp certification (Sustainable Development Certification).

Who are we looking for?

We are looking for experienced Senior Data Analyst to support our growth.

What is the role of a Data Analyst in a Big Data (5 V) company?

• Volume: Oversee the integration of millions of data points daily using supervision tools

• Veracity: Ensure the consistency of data through automated checks and processing

• Velocity: Launch and monitor processes quickly to deliver value rapidly

• Variety: Identify client-specific needs and adapt supervision and processing tools accordingly

• Value: Transform raw data into Added Value Data for our clients, particularly through statistical functions

What tools do we use?

Depending on your experience and skills, we can offer you an evolving role with internal and external training on transportation, data, and the tools we use daily:

• PowerBI

• UI Path

• Talend

• Python

• SInergie (our internal tool)

• Monday
  
  

Profile:

• Minimum 2 years of Experience in Data Analysis

• BSc with 1:1 or 2:1 in Mathematics/Statistics / Data Science/ Sciences / Engineering / Management Control / Economics / Econometrics without experience

• Training or professional experience abroad is a plus

• An interest in a career in Data Science
  
  

Key Skills Required:

• Analytical thinking

• Ability to work in a team

• Curiosity and willingness to learn

• Organization, rigor, and methodology

• Fluent in English and French (spoken and written)