Product Analyst (all genders) | Berlin, hybrid or remote

Responsibilities

At Aroundhome, we are dedicated to making data the foundation of our product strategy and business decisions. To drive this further, we are building up a department of Product Analytics to tackle the most challenging tasks from the business and user side, improve processes and tools, and drive data excellence across the organization.

As a Product Analyst, you will be at the forefront of transforming data into valuable insights, helping our domain teams make informed, data-driven decisions before building new features.

• Enable Data-Informed Decisions : Conduct in-depth analyses that answer specific business questions and foster an understanding of what drives growth for our product. Encourage data-driven decision-making across all teams
• Define and Track KPIs : Collaborate with stakeholders to define KPIs, data requirements to establish meaningful metrics that align with product goals and accurately reflect product performance
• Build and Optimize Dashboards : Ensure visibility of key metrics and performance indicators, by developing and maintaining reports and dashboards in Tableau
• Support Self-Service Analytics : Build and optimize data sources, allowing teams to explore data and derive insights autonomously
• Contribute to Product Development : Set up A/B tests or other quasi-experiments for new features and product developments to derive recommendations for improvement and growth of our business
• Collaborate with the Data Engineering team to ensure data quality, accessibility, and seamless integration of data sources, supporting efficient analytics and reporting processes

Skills

• Bachelor’s or Master’s degree or equivalent in a relevant field (e.g., Data Science, Statistics, Mathematics, Business Analytics, Computer Science)
• Proven experience (2 years) in a product analytics role, preferably in a B2C or marketplace environment, partnering closely with product managers and engineering teams to guide feature development
• Proficiency in data analysis tools and languages (e.g., SQL, Python, R etc) as well as data visualization tools (e.g., Tableau, Looker, Metabase etc)
• Solid understanding of Product Analytics, including user behavior analysis, A/B testing, and statistical analysis
• Strong communication skills and ability to translate data insights into actionable recommendations

What we offer

Hybrid Work // Stay flexible: Decide freely, whether you want to work from our office in Berlin, from home throughout Germany, or fully remote from Portugal. Additionally, we offer you the possibility to work up to 30 days per year from selected EU countries.

Room to grow // Stay curious: In regular/annual feedback meetings, you design your own personal development path together with your team lead. In addition, we offer monthly Tech Talks, an annual training budget, free access to LinkedIn Learning as well as great workshops to seek new input and specific training for your personal development.

Mental & physical health // Stay healthy & active: We care about your well-being and support your health with a discounted membership at Urban Sports Club. In addition, our cooperation partner “Fürstenberg Institute” is available to you and your family members with advice and support when it comes to mental health & coaching.

Taking responsibility // We #care: We care for our planet and the people who are living on it. To make our world a little bit better, our ESG Team (Environmental, Social & Governance) promotes our awareness for environmentally friendly behavior. In addition, we work with JobRad, offer a discounted BVG ticket, and actively support social projects in Berlin at our annual Social Day to give something back.

Teamspirit // Stay connected: What drives us is our sense of community. That's why we celebrate our Company Day once a month in our office at Potsdamer Platz, where everyone gets together in person. In addition to a comprehensive update of our C-Board, the main focus is on togetherness and the exchange of ideas over lunch and dinner together.