Business Translator – Senior Analyst / Specialist

Prometeia; Monza; In loco; EUR 40.000 - 70.000; Tempo pieno

Descrizione del lavoro

A leading company in the financial and insurance sectors is seeking a Business Translator – Senior Analyst / Specialist. This role involves gathering business requirements, collaborating on AI solutions, and translating complex data insights into actionable strategies. If you are driven by innovation and have a passion for data science, we invite you to join our dynamic team.

Servizi

Remote Working flexibility

Continuous training opportunities

Employee referral bonuses

Digitalized management via Pr(Home)teia app

Commitment to diversity and inclusion

Environmental and community responsibility initiatives

Competenze

• At least 3-5 years of professional experience in financial or insurance sectors.
• Solid understanding of machine learning fundamentals.
• Experience creating high-quality presentations.

Mansioni

• Gather and analyze business requirements for AI solutions.
• Collaborate with data scientists and engineers on AI prototypes.
• Translate technical findings into actionable insights.

Conoscenze

Analytical skills

Problem-solving skills

Communication

Teamwork

Formazione

Master's degree in Economics, Engineering, Mathematics, Statistics, Physics

Strumenti

Python

R

Matlab

Git

Descrizione del lavoro

Business Translator – Senior Analyst / Specialist

Are you curious, do you want to get involved, become part of a dynamic company, and have the opportunity to innovate with your work and skills?

Prometeia offers opportunities for growth and training within a group of over 1000 professionals serving more than 500 clients across 20 countries worldwide.

We are seeking talented and motivated professionals with a passion for data science and a drive for innovation to join our Data Science team as Business Translator – Senior Analyst / Specialist, contributing to transformative projects in the banking and insurance sectors.

ROLE AND RESPONSIBILITIES:

• Gather and analyze business requirements to understand organizational goals and challenges, guiding the design of AI solutions.
• Collaborate with data scientists and machine learning engineers to develop AI prototypes and applications, focusing on data understanding, cleaning, and integration into business processes.
• Manage and coordinate complex projects, ensuring timely delivery and alignment with objectives.
• Translate complex technical findings into clear, actionable insights for both technical and non-technical stakeholders.
• Coordinate project activities effectively with internal and external clients.
• Create compelling value propositions and related business cases.

EDUCATION AND EXPERIENCE:

• Master’s degree in Economics, Engineering, Mathematics, Statistics, Physics, or a related quantitative discipline.
• At least 3-5 years of professional experience, preferably in the financial or insurance sectors.
• Solid understanding of machine learning fundamentals and key algorithms (clustering, classification, regression).
• Experience in creating high-quality presentations and documents tailored to diverse audiences.
• Knowledge of at least one data analysis programming language (e.g., Python, R, Matlab).
• Familiarity with current trends and topics in banking and insurance sectors.

Preferred Skills:

• Experience with version control systems (e.g., Git).
• Experience in building business cases and evaluating project cost/benefit.
• Experience working in a consultancy environment is a plus.

SOFT SKILLS:

• Strong analytical and problem-solving skills.
• Excellent communication skills and meticulous attention to detail.
• Team player with collaborative skills.
• Passionate about process innovation, curious to understand and optimize business processes.

LOCATION & WHAT WE OFFER:

Our history and future are rooted in our people. We invest in their growth and well-being through:

• Remote Working: Flexibility and trust-based organization.
• People Program: Continuous professional and personal growth through regular dialogue.
• Training: Approximately 11 days of training annually, both online and in person.
• Win/Win Policy: Employee referral bonuses.
• Phygital Management: Digitalized management of physical and virtual environments via the Pr(Home)teia app.
• Community & Diversity: Embracing diversity and equal opportunities, fostering an inclusive environment.
• Impact: Commitment to environmental and community responsibility.

Any questions? Get in touch with our team!