A small piece of paper with numbers that have the power to change a life forever! Okay... let's replace the paper with an app and one person with 600,000+ monthly users. This is our business!

📌 Your Mission

As our Senior Product Analyst (m/f/d) you will be the data specialist dedicated to the Product team. You will help us build a stronger product data foundation, understand customer behavior, and turn product questions into clear, actionable insights.

You will work across key product areas such as engagement, conversion, retention, verification, payments, and user experience — helping the team understand where users get stuck, which opportunities matter most, and whether shipped improvements actually create impact.

✅ Your Tasks & Responsibilities

• Own and improve Product KPI measurement, dashboards, and drill-downs as a trusted source of truth.

• Identify where users drop off, why it happens, and how large the opportunity is.

• Design and analyse A/B tests, experiments, and holdouts to measure product impact.

• Set data-driven benchmarks before changes are shipped, so outcomes can be evaluated honestly.

• Translate product, funnel, and experiment insights into clear recommendations for Product, UX, Engineering, and leadership.

• Support future segmentation and behavior prediction use cases, such as churn, engagement, or conversion propensity.
  

🎯 Your Goals in This Role

• Within 1 month
  Assess the current product tracking and KPI setup, identify key gaps, and deliver a first trusted dashboard or diagnostic.

• Within 3 months
  Deliver a first deep-dive funnel or product diagnostic, including drop-off points, opportunity sizing, and a benchmark for a proposed improvement.

• Within 6 months
  Help establish a repeatable product measurement approach used by Product and leadership to make better decisions.
  

🚀 Your Key Competencies

Must-have

• Strong SQL and dashboarding skills, using tools such as Metabase, Looker, Tableau, or similar.

• Strong understanding of product KPIs, funnel analysis, user behavior, and opportunity sizing.

• Experience designing or analysing A/B tests, experiments, or holdouts.

• Ability to turn raw tracking and ambiguous product questions into clear recommendations.

• Confident communication with non-technical and senior stakeholders.

Nice-to-have

• Python for deeper analysis, automation, or lightweight modelling.

• Experience with consumer apps, e-commerce, subscriptions, payments, verification, or retention-focused products.

• Exposure to segmentation, churn, propensity, or other predictive modelling use cases.

• High ownership and a strong sense of what good product measurement looks like.

• Pragmatic, structured, and focused on decisions that unblock the team.

• Clear and credible communicator.

• Collaborative mindset with Product, UX, Engineering, and Marketing.

🏆 Your Impact in This Role

• You give the Product team a stronger data foundation.

• You help the team understand where users get stuck and which opportunities are worth pursuing.

• You make product changes and experiments easier to evaluate honestly.

🎓 Your Background – Education & Experience

• Degree in Statistics, Computer Science, Business Analytics, Economics, or a related quantitative field, or equivalent demonstrated skill.

• 5+ years of experience in Product Analytics, Data Analytics, Data Science, or a related analytical role.

🎁 What we offer you:

Remuneration & work-life balance:

• Competitive salary and trust-based working hours.

• Private health insurance.

• Generous training budget.

• Extraordinary team events.

• Meal benefit.

Communication & trust:

• Open, honest and direct communication. Your ideas are welcome!

• A feedback meeting every quarter to help us grow together.

• We encourage innovation and are open to new ideas that push the boundaries.

Modern working:

• Everything you need for your daily work: MacBook, monitor, headphones and more.

Individual training:

• One training day per month and a generous training budget for your personal development.

Buddy program:

• An experienced team member will support you from day one to help you get started.

The team

• We are a colorful bunch from different nations and backgrounds. We don't distinguish by religion, gender, age, marital status... For us, the focus is on what you can do!

🪴Our values:‍

MAKE IT HAPPEN 💪🏼

• Drive results - Own the problem, the goal, and the outcome through self-organization and decisions backed by data

• Speak up with courage - Challenge ideas and raise issues directly when it matters

• Getting things done - Be pragmatic, keep momentum, and bring the energy

• Deliver quality impact - Ship solutions that move our mission and strategic goals forward

WIN TOGETHER 💚

• Communicate openly and respectfully - Be transparent, assume positive intent, and set aside own ego when interacting with others

• Help others win - Proactively share knowledge, time, and strengths in an interdisciplinary set-up

• Work across cultures - Learn from others’ perspectives and actively refine own style for trust-based collaboration in a diverse team

• Bring team spirit - Create moments of joy and belonging that fuel big outcomes together

SHAPE THE FUTURE  🚀

• Experiment to learn - Run tests, measure outcomes, treat mistakes as an invitation to learn and adapt insights into action

• Spot opportunities - Stay close to customers and market trends to identify what’s next

• Build user-first innovation - Deliver trustworthy, data-driven solutions and services that set the bar

• Grow yourself - Challenge and reflect on the way you work, seek feedback, and keep developing your skills
  
  
  👉 Sound like you?  📩 https://nextlottogmbh.teamtailor.com/