Financial Data Analyst Intern [F/M/X]

Mantu est un cabinet de conseil international fondé en 2007. Rejoignez une équipe dynamique et bénéficiez d'un environnement de travail flexible.

Tâches

• Transformer des données financières complexes en insights exploitables.

• Développer des tableaux de bord interactifs avec Power BI et SQL.

• Collaborer avec diverses équipes pour améliorer les processus et la qualité des données.

Compétences

• Diplôme de Master en Finance, Ingénierie ou domaine connexe requis.

• Compétences avancées en SQL et en modélisation financière.

• Expérience avec des outils de visualisation de données comme Tableau.

Who are we?

Mantu is an independent international consulting player, founded in 2007.Bringing together expert and complementary brands, Mantu stands out for the breadth of its spectrum, responding to all business transformation challenges.

Its activities are divided into four practices:

Leadership & Advocacy, Technology, Brand Strategy & Experiences andTotal Talent Management.

A wide range of skills, all serving a single mission: connecting and powering companies with leading teams and technology to succeed faster and sustainably.

From its headquarters in Geneva, Switzerland, Mantu relies on a community of 12,000 talented people in more than 60 countries on 5 continents and has a turnover of 1billion euros.

Job description

Role Overview

As part of the Finance team, you will bridge Finance and Data, driving the digital transformation of FP&A through automation, advanced analytics, and forecasting. Your mission is to transform complex and fragmented data into meaningful financial insights, improve forecasting accuracy, and support strategic decision-making. You will analyze historical performance, build predictive models, and design financial KPIs that help management monitor business performance and anticipate trends. By combining strong technical skills (SQL, Power BI, Python) with a solid understanding of financial dynamics, you will enable a data-driven FP&A function capable of scaling efficiently.

Your LittleBig Responsibilities

• Build, maintain, and optimize data pipelines (ETL/ELT) to integrate financial and operational data.

• Design, develop, and maintain interactive dashboards and reports (Power BI, Tableau, or equivalent).

• Automate recurring reporting tasks and data workflows using SQL, Python, or scripting tools.

• Develop financial models and forecasts (rolling forecasts, scenario analysis, sensitivity).

• Perform variance analysis and ad-hoc investigations.

• Collaborate cross-functionally (Finance, Operations, IT, Business Units) to gather assumptions, validate data, and deliver insights.

• Continuously improve processes, data quality, and reporting efficiency.

Your Profile

• Master's degree in Finance, Engineering, Mathematics, Computer Science, or related field.

• Experience in financial modeling, forecasting, and scenario analysis.

• SQL skills (complex queries, joins, optimization).

• Experience with BI/data visualization tools (Power BI, Tableau, etc.).

• Programming experience in Python (e.g., pandas, numpy) for data manipulation and modeling.

• Solid Excel skills (advanced formulas, pivot tables, modeling).

• Analytical mindset, attention to detail, problem-solving orientation.

• Good communication skills: able to explain technical insights to non-technical stakeholders.

• Mastering generative AI such as ChatGPT for improving day-to-day productivity.

What we offer

• Thrive in the new digital business world.

• Lead high value-added strategic projects with a concrete business impact.

• Experience working in a young and international atmosphere, with colleagues on all 5 continents.

• Benefit from a flexible work environment with remote working options.

• Access a variety of training courses and continuously improve your skills.

• Take part in the events organized by our LittleBig Crew: work socials, team building events... moments you won't want to miss!

LittleBig Connection is proud to be an equal-opportunity workplace. We are committed to promoting diversity within the workforce and creating an inclusive working environment. For this purpose, we welcome applications from all qualified candidates regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics.