Who are we?
About LittleBig Connection
The world of work has been transforming at an incredible speed. Today, companies must not only adapt to keep pace with change – they have to get ahead of the game. They need to function as integrated organizations, positioning the best talent at the heart of each project to leverage the right skills at the right time. LittleBig Connection is the solution that connects big companies with external experts looking for the best projects available.We create a direct and transparent link between all companies and stakeholders, big and little, so they can team up more easily than ever before.How do we do it?
Through our two offers:
Connect, our marketplace, allows clients to publish all their requirements (RFPs) for external consulting services. More than 500,000 consulting companies, IT vendors, and freelancers can identify their next projects and submit consultant or candidate profiles.
Rise, our Vendor Management System (SaaS platform), enables the entire ecosystem to collaborate digitally from sourcing to payment. It provides legal support, performance monitoring tools, timesheets, invoicing, and many other features to streamline operations.
As the leading international player in its industry, 25,000 Procurement and IT professionals (such as Auchan, Renault Trucks, Pluxee, Veolia, bioMérieux, Bouygues Telecom) use LittleBig Connection daily in their Big innovation projects and flexibility needs. With the ambition to become the international leader of Total Talent Management, LittleBig Connection is present in 50 countries around the world and has no intention of stopping there: Canada, India, Vietnam, Spain, Mauritius, Tunisia... Team up with the World is more than our tagline—it’s our reality.
Are you ready for the adventure?
Job description
Your LittleBig responsibilities
LittleBIG Connection is actively looking for a Data Analyst in Barcelona or Madrid (VIE contract)!
At LittleBig Connection, we firmly believe in the transformative power of data analytics and AI to enhance business operations, drive informed decision-making and foster sustainable business growth.
To reinforce our young and ambitious Data and AI team we are seeking a dedicated Data Analyst to join our team. You will be responsible for designing, developing, and maintaining business intelligence solutions. You will play a critical role in the process of business decision-making, turning data into information, information into insight, and insight into business decisions. You will collaborate closely with key business stakeholders (Financial Partners, Head of Business, Product Managers) to develop impactful analytics solutions.
Responsibilities:
- Translate business needs to technical specifications.
- Design, build and deploy data solutions (e.g. reporting tools).
- Create tools to store data.
- Develop and execute database queries and conduct analyses.
- Conduct unit testing and troubleshooting.
- Evaluate and improve existing data systems.
- Collaborate with teams to integrate systems.
- Create visualizations and reports for requested projects.
- Maintain and support data analytics platforms.
Candidate Profile
- 1-3 years of experience.
- Analytical mindset with strong problem-solving aptitude.
- Proven ability to take initiative and innovate.
- Excellent communication and teamwork abilities.
- Eagerness to learn and tackle challenging tasks.
- Data science / statistics.
- Familiarity with data warehouse design concepts (e.g., dimensional modeling) and data mining.
- Understanding of database management systems and ETL processes (Azure Databricks).
- Familiarity with data tools (e.g., Microsoft Power BI, Tableau).
- Knowledge of SQL queries.
- Fluent English.
Typical Day
- Weekly meetings with stakeholders to gather their feedback and understand their needs.
- Development of new features or dashboards based on the to-do list created with the project manager and stakeholders.
- Occasional work on automation projects (e.g., sending data or messages automatically to freelancers for opportunities that match their profile).
- Sharing raw data on an ad-hoc basis depending on requests.