About The Position

This role is for a Product Analyst at Docplanner, a company focused on making the healthcare experience more human. The company is a leader in 13 countries, serving over 90 million patients monthly and trusted by 300k+ specialists. Docplanner Tech, with over 400 people in Engineering, Data, and Product teams, is responsible for building the product for all locations. The company maintains a startup mindset despite its growth and emphasizes diversity and inclusivity. The Product Analyst will own the metrics and analytical direction for their product area, working with Product Directors to influence strategy and roadmap priorities. Their insights will drive decisions on product development, resource allocation, and future investments. The role offers autonomy to investigate problems, challenge conventional thinking, and push for data-driven changes. The analyst will define success metrics, build measurement frameworks, and ensure decisions are backed by solid analysis. They will collaborate with a team of analysts, researchers, product managers, designers, and engineers, and their analyses will directly shape Product strategy and impact the experience of millions of patients and healthcare professionals.

Requirements

  • 5+ years of relevant experience in analytics, working with business KPIs and metrics, of which 2+ working closely with product managers and user research teams.
  • Proficiency in SQL (essential) and experienced with DBT.
  • Data visualization tools such as Tableau, PowerBI or similar (essential)
  • Event-tracking tools such as Google Analytics, Amplitude or similar (essential)
  • Python and its ecosystem of Data Science libraries
  • Great communication skills and stakeholder management. You translate complex analyses into clear insights that executives and stakeholders actually act on.
  • Fluent in manipulating, transforming, and reshaping data, preferably from multiple data sources.
  • Doing root-cause analysis, applying statistical concepts like regressions, and proving correlations and causation.
  • Contributing to data warehouses, creating aggregated data sets, general understanding of data pipelines and flows.
  • Experience designing, implementing and measuring A/B Tests and interpreting the results.
  • Experience enabling others by training stakeholders on tools and helping teams become more data-literate and autonomous.

Nice To Haves

  • You are curious by nature, and you love to ask and answer questions and dig into data.
  • You like finding patterns in data and proactively suggesting stakeholders how to improve the product.
  • You have an excellent understanding of statistics.
  • You enjoy constant learning and high autonomy.
  • You enjoy being part of a diverse analytics team.
  • You enjoy training and coaching others.
  • You are familiar with complex Product organizations in the SaaS market.
  • You enjoy using cutting-edge tools, frameworks and incorporating AI to automate and improve your work.

Responsibilities

  • Help product areas to strategically build the product: bring ideas for new growth opportunities based on your expertise, estimate the potential impact of such ideas and guide our strategy through metric frameworks and insights.
  • Work with higher management, business stakeholders and researchers to create and validate hypotheses from both a qualitative and quantitative perspective.
  • Create and maintain dashboards, analysis and forecasts related to our team’s main metrics.
  • Manipulate and transform large data-sets to bring new insights and perform root-cause analysis.
  • Collaborate with the Product team to test new features and validate hypotheses through experimentation and AB Testing.
  • Perform segmentation analysis to understand who our customers are and what are their main drivers to engage with our products.
  • Work closely with Data Engineering to maintain and improve data-sources used in some of our main dashboards.

Benefits

  • A salary adequate to your experience and skills.
  • True flexibility and work-life balance
  • Remote or hybrid work model with or hub in Warsaw
  • Flexible working hours (fully flexible, as in most cases you only have to be on a couple of meetings weekly)
  • 20/26 days of paid time off (depending on your contract)
  • Additional paid day off on your birthday or work anniversary (you choose what you want to celebrate).
  • Private healthcare plan with Signal Iduna for you and subsidized for your family.
  • Multisport card co-financing for you to have access to sports facilities across Poland.
  • Access to iFeel, a technological platform for mental wellness offering online psychological support and counseling.
  • Free English and Spanish classes.
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