Senior Product Analyst

Profitroom – Empowering hotels directly

We are currently looking for a Senior Product Analyst to join our Data team and help shape the future of our product development. In this role, you will work hand-in-hand with our Product Director and Product Managers, turning data into insights that directly influence product decisions. You’ll play a key part in defining metrics, leading analysis, and uncovering opportunities to improve user experience and business outcomes.

If you're ready to apply your analytical expertise to real product challenges and want to grow your influence in a collaborative, data-driven environment — this might be exactly the kind of opportunity you’ve been looking for.

Daily activities:

• Collaborating closely with Product Managers and Product Director to align strategies, establish product metrics and shape product decisions based on data-driven insights.

• Utilizing advanced SQL and Python skills along with BI tools to transform raw data into valuable outcomes.

• Driving experimentation using a variety of techniques and conducting rigorous statistical analyses to enhance product performance and user experience.

• Leading key initiatives and projects play a pivotal role in shaping the products’ evolution and success.

• Collaborating with software engineers and data engineers to ensure proper data tracking and modelling of the data.

• Providing mentorship and guidance to junior analysts, fostering their growth and expertise within the team.

• Collaborating closely with cross-functional teams, including UX designers, software engineers, product managers, and designers, to elevate the product to the next level through data-driven insights and recommendations.

Requirements

• Proven track of record with minimum 5 years of experience in product analytics, data analytics, or business intelligence roles, demonstrating expertise in extracting insights from data in SaaS. 

• Excellent communication skills and the ability to convey complex findings to non-technical stakeholders.

• Proven experience working closely with Product Managers in a data-driven capacity, including conducting experiments.

• Advanced proficiency in SQL, Python (PySpark is a big plus) or R,  BI tools (PowerBI is a plus) enabling efficient data manipulation and analysis to support evidence-based decision-making.

• Proven experience in establishing meaningful metrics for product evaluation.

• Understanding of statistics foundations, allowing for accurate interpretation and quantitative validation of product hypotheses, leveraging methodological best practices.

• Strong problem-solving skills and a proactive mindset.

• ​Demonstrated openness to adopting and learning new tools, technologies, and analytical techniques in the ever-evolving Data & Analytics landscape.

• Proficiency in Polish at C1 and English at a minimum B2 level (both spoken and written).

Nice to have:

• Experience with Generative AI

Benefits

• Enjoy Work-Life Balance: Embrace a fully remote and flexible work environment.

• Explore the World: Avail annual 'Work with Us, Travel with Us' vouchers.

• Grow Your Skills: Access to English language classes along with a dedicated team development fund.

• Stay Healthy: Benefit from co-financed life and medical insurance, access sports facilities and receive professional mental health support whenever needed.

• Take Time Off: Get 26 days off with a Contract of Employment and 24 days off break with B2B contracts.

• Share hospitality: Take  2 extra days off (annually) for CSR activities.

• Join Celebrations: Participate in company retreats, events, and wedding & baby packs, benefit from our employee referral program.

• Transparent Culture: Experience a flat hierarchy and open communication channels for transparency.

• Contract Enhancements: earn between 18 000 PLN to 25 000 PLN on a B2B contract or between 15 000 and 21 000 PLN gross for Contract of Employment.

Recruitment process:

• Intro call with the Recruiter ( up to 40 minutes)

• Technical interview (60 minutes)

• Role fit interview with Hiring Manager(60 minutes).