Product Analyst

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Product Analyst in Italy.

This role offers the opportunity to transform complex data into actionable insights that directly impact business strategy and decision-making. You will work in a fast-paced, remote-first environment where autonomy, ownership, and impact are highly valued. As a Product Analyst, you will collaborate closely with cross-functional teams, including product, engineering, and marketing, to analyze large datasets, identify trends, and provide recommendations that improve customer experiences and business outcomes. Your expertise in statistical modeling, BI tools, and data pipelines will enable you to influence product decisions and contribute to the company’s growth. You will also explore innovative approaches, including AI-driven analytics, to increase speed and scale in delivering insights. The role demands both technical proficiency and excellent communication skills to translate data into clear solutions for diverse stakeholders.

Accountabilities

• Analyze large datasets to identify patterns, trends, and key performance drivers
• Conduct statistical analysis and modeling to test hypotheses and validate business insights
• Collaborate with data engineering teams to optimize and streamline data pipelines
• Translate complex analytical findings into clear, actionable recommendations for cross-functional teams
• Develop self-service analytics tools to empower stakeholders in data-driven decision-making
• Experiment with AI and other innovative methods to enhance analytics efficiency and scalability
• Support strategic initiatives by providing insights that inform product and business decisions
  
  

Requirements

• Bachelor’s degree in a quantitative field such as Mathematics, Statistics, Computer Science, or Economics
• Minimum of 5 years of experience in analytics, data science, or related roles
• Proficiency in BI and analytics tools such as Looker, Tableau, or Power BI
• Strong SQL skills and experience working with large datasets
• Proficiency in Python for data analysis, scripting, and statistical modeling
• Familiarity with cloud-based data platforms (e.g., BigQuery)
• Solid understanding of statistical methods, including regression, clustering, and hypothesis testing
• Strong problem-solving, critical thinking, and attention to detail
• Effective communication and presentation skills for technical and non-technical audiences
• Experience in applying analytics to drive business strategy and product decisions
  
  

Benefits

• Competitive salary with regular performance reviews
• Fully remote within Europe or optional office presence in Vienna
• Access to learning and development budget for courses, conferences, and skill growth
• Dedicated personal growth and mental health support through expert sessions
• Flexible work arrangements promoting work/life balance
• Opportunities to collaborate during office weeks with team-building events and workshops
• Inclusive and diverse culture supporting personal and professional development
  
  

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.