Must have

• Product analysts

• English

Requirements description

• 5+ years in a product analyst, data analyst, BI, or data scientist role
• Bachelor’s or Master’s degree in a quantitative field (or equivalent training & experience)
• Outstanding proficiency with SQL, and R or Python
• Strong data visualization skills and a track record building dashboards (e.g. in Tableau, Looker, Shiny) that communicate clear, actionable insights
• Customer-centric and impact-driven mindset – your ambition is that your analyses empower Beekeeper to build products that customers love
• Work independently and drive your own initiatives – if you need an answer you find it
• Focus on scale – develop tooling to automate commonly requested analyses
• Proactivity – connect with other functions like product management, sales, and customer success to answer the most impactful questions with your analyses
• Fluency in written and spoken English

Bonus points

• Working experience in a Software B2B SaaS company
• Experience with Product Analytical tools like Pendo or Mixpanel
• Experience with creating clear dashboards and visual narratives for product and senior stakeholders (e.g. funnel analysis, retention curves, cohort tracking)
• Mastery of analytical methods including applied analytics, econometrics, inferential and predictive modeling, Machine Learning

Offer description

As a Senior Product Analyst you will be responsible for designing, implementing and evolving the product data analytics at Beekeeper, building out a strong data platform & data products to power effective decision making, key business processes and ultimately help our business grow effectively.

Your main focus will be to work with product usage data of the Beekeeper Platform to extract valuable insights on how our customers make use of our product. You will collaborate closely with key stakeholders, including our product teams and data engineers, to develop and implement robust key performance indicators, work on targeted ad-hoc analyses, and build out our self-service analytics with automated reports and interactive dashboards. Your work will drive informed decision-making and unlock valuable insights within our internal business applications, enhancing critical business processes.

As part of our team, you will play a pivotal role in shaping the data and analytics landscape. Collaborating with your peers, you will take the lead in advancing Beekeeper's Data Analytics, enabling data-driven decision-making throughout the company. You will have the opportunity to work with cutting-edge technologies and a modern tech stack, empowering you to achieve your goals and fulfill your responsibilities effectively.

What we offer

• Competitive salary
• Phone & Home Internet costs reimbursement up to 80 PLN/month
• Private health care package with Luxmed – covered for you and partially for your partner / family
• Cafeteria benefits – monthly budget to cover sport cards or other purchases
• Creative Allowance – paid as 1000 PLN gross/month
• Home office set-up reimbursement up to 1000 PLN
• Personal Learning & Development Budget of 1500 USD/year
• Sabbatical Program – 1 month paid leave at 3, 6, 10 year tenure
• 26 days of annual leave/year
• 2 Mental Health days off per year

Benefits listed above are part of the compensation package for a contract of employment.

Your responsibilities

1. Own the product usage and performance metrics and KPIs, understand and evolve current concepts and implementations, define usage and performance metrics for new features
2. Become the product usage expert by detecting, describing and monitoring usage patterns and trends, feature adoption behavior, as well as feature and account churn
3. Pragmatically apply descriptive statistics, inferential and predictive models to deduct smart, actionable insights that empower the business to take decisions with maximum impact
4. Identify, describe and implement own ideas for data products that drive crucial business targets
5. Create product usage dashboards with outstanding data visualization, readability, and interactivity
6. Model upsell, expansion, and ‘next-best-offer’ propensities to drive targeted campaigns and communications within the product and in partnership with the GTM teams

show all (7)