Product Analyst (f/m/x) - Remote Eligible

Product Analyst

We are currently looking for a Product Analyst (f/m/x) in Portugal. In this role, you will leverage data to drive strategic decisions and optimize business performance across multiple functions. You will work with large-scale datasets, uncover meaningful trends, and transform analytical findings into actionable recommendations that support product, marketing, and operational initiatives. The position offers the opportunity to collaborate closely with cross-functional teams in a fast-paced, remote-first environment that values ownership, autonomy, and innovation. You will also contribute to improving data accessibility and self-service analytics capabilities while experimenting with modern analytical and AI-driven approaches. This is an excellent opportunity for a data-driven professional who enjoys solving complex problems and making a measurable impact within a high-growth international environment focused on sustainability and continuous improvement.

Accountabilities:

• Analyze large and complex datasets to identify trends, business opportunities, and key performance drivers that support strategic decision-making.
• Conduct statistical analyses and hypothesis testing to validate findings and provide actionable recommendations to stakeholders.
• Develop and apply statistical models to improve business processes, product performance, and operational efficiency.
• Collaborate with data engineering teams to enhance data pipelines, improve data quality, and streamline analytics workflows.
• Translate complex analytical challenges into clear business insights for both technical and non-technical audiences.
• Build and improve self-service analytics solutions that empower teams to independently access and interpret data.
• Explore and implement innovative analytical methods and AI-driven tools to increase the speed, scalability, and effectiveness of insights generation.
• Partner closely with product, engineering, marketing, and other cross-functional teams to align analytics initiatives with broader organizational goals.

Requirements:

• Bachelor's degree in a quantitative discipline such as Mathematics, Statistics, Computer Science, Economics, or a related field.
• At least 5 years of professional experience in analytics, business intelligence, or data-focused roles.
• Strong proficiency with analytics and BI tools such as Looker, Tableau, or Power BI.
• Advanced SQL skills with experience working on large datasets and performing data extraction and manipulation.
• Solid experience using Python for data analysis, automation, and statistical modeling.
• Familiarity with cloud-based data platforms and technologies such as BigQuery.
• Good understanding of statistical methods including regression analysis, clustering, and hypothesis testing.
• Ability to interpret outputs from statistical and data science models and translate them into business insights.
• Proven experience delivering measurable business impact through data-driven recommendations.
• Excellent analytical thinking, problem-solving abilities, and attention to detail.
• Strong communication and presentation skills, with the ability to explain complex findings clearly to diverse audiences.
• Candidates must be based in Europe (including the UK) and possess valid work authorization.

Benefits:

• Fully remote-first work environment with flexibility to work from anywhere within eligible locations.
• Opportunity to work from a modern office space in Vienna and participate in collaborative office weeks several times per year.
• Flexible working style with high levels of autonomy and self-organization.
• Workation policy allowing up to two months of remote work from alternative locations annually.
• Dedicated learning and development budget for courses, conferences, and professional growth opportunities.
• Access to mental health and personal development support through expert coaching sessions.
• Internal workshops and knowledge-sharing initiatives to encourage continuous learning and collaboration.
• Inclusive and feedback-oriented company culture that values innovation, diversity, and openness.
• International and fast-growing environment focused on sustainability, impact, and data-driven decision-making.