Our new Business Insights team brings together Analytics and UX Research to enable more informed decision-making across product and business contexts. By connecting what people do, why they do it, and what impact their behavior has, we turn data into strategic recommendations. Our analysts (all genders) go far beyond reporting: They define success, challenge assumptions, and choose the right methods to support decisions that matter across the company.
As a Product Analyst (all genders), you contribute to our modern, product-centric Insights function and support how data-informed product development is embedded in our Discovery and Delivery processes.
You work closely with our product teams and collaborate with Product Managers (all genders), Designers (all genders), and User Researchers (all genders) to support data-informed product decisions.
Do you combine strong analytical skills with product curiosity, storytelling, and the ability to translate data into clear insights? Sounds like you? Then apply now and become part of our team!
Minimum Qualifications and skills
- 2+ years of professional experience in Product Analytics or a closely related analytics role.
- Experience with working on analytics topics end-to-end and contributing to sustainable, scalable solutions.
- Experience with experimentation, funnel analyses, segmentation, retention, and growth metrics.
- Strong SQL skills and hands-on experience working with product data in a modern analytics setup (e.g., Snowflake, dbt, Looker/Sigma or Amplitude), and the ability to build reliable data models, as well as with BI tools such as Sigma, Tableau, or Power BI.
- Understanding of product discovery and user-centered product development, and experience working closely with cross-functional product teams.
- Ability to translate analyses into clear insights and communicate findings effectively to stakeholders, such as Product Managers (all genders), Designers (all genders) and Engineers (all genders).
- Very good English language skills.
Preferred Qualifications and skills
- Experience within a digital product environment is a plus.
- First touchpoints of contributing to measurement and reporting frameworks, including KPI definitions, event tracking concepts, and experimentation setups.
- Proficiency in Python or R
- Good German language skills.
What the role is about
- Contribute to the implementation of our Product Analytics strategy and support the Business Insights vision across product areas.
- Support product discovery streams with data-driven insights and recommendations.
- Help improve KPI frameworks, analytics standards, and experimentation methods in collaboration with senior analysts.
- Translate user and product data into clear actions, collaborating closely with other teams such as Product, UX, Tech, and Research.
- Maintain reporting and monitoring solutions that support data-informed product decisions.
- Present insights and recommendations to product stakeholders in a clear and structured way.
- Contribute to a strong data and experimentation culture by sharing best practices and learnings within other team members and teams.
At ParshipMeet, we help millions of people around the globe meet, date, and fall in love. We want our teams to be as diverse as our customer base. Constantly adding new perspectives is key to our success. We will never judge anyone by age, sex, family background, color of skin, religious beliefs nor sexual orientation. For us, it’s all about skills, competencies, and you as a human being!
Who we are
With revenues of more than 375 million Euros and nine apps, ParshipMeet Group is one of the three leading international Dating and Video companies. Our more than 500 employees help users all over the world to meet others – whether it's like-minded people, an exciting date, or love for life. True to the motto: Meet – Date – Fall in Love.
Does this sound like what you're looking for? Great! Here you have the opportunity to apply and upload your application documents in just a few minutes. Please complete our application form as fully as possible. Mandatory fields are marked with an *. We look forward to receiving your application!