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In this role as a Product Analyst at Docplanner you'll own the metrics and analytical direction for your product area, working directly with Product Directors to influence strategy and roadmap priorities. Your insights will drive real decisions: what we build, what we kill, and where we invest next. This means the autonomy to dig into the problems that matter, challenge conventional thinking, and push for change when the data tells a different story. You'll define what success looks like, build the frameworks to measure it, and make sure every major decision is backed by solid analysis. You'll work with a talented team of analysts, researchers, product managers, designers, and engineers who are obsessed with building the best product. Your analyses will directly shape Product strategy and influence how millions of patients and healthcare professionals experience Docplanner.
Job Responsibility:
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
Requirements:
5+ years of relevant experience in analytics, working with business KPIs and metrics
2+ years working closely with product managers and user research teams
Proficiency in SQL (essential)
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
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 have:
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
What we offer:
Flexible remuneration and benefits system via Flexoh, which includes: restaurant card, transportation card, kindergarten, and training tax savings
Share options plan after 6 months of working with us
Remote or hybrid work model with our hub in Barcelona
Flexible working hours (fully flexible, as in most cases you only have to be on a couple of meetings weekly)
Summer intensive schedule during July and August (work 7 hours, finish earlier)
23 paid holidays, with exchangeable local bank holidays
Additional paid holiday on your birthday or work anniversary (you choose what you want to celebrate)
Private healthcare plan with Adeslas for you and subsidized for your family (medical and dental)
Access to hundreds of gyms for a symbolic fee in partnership for you and your family with Andjoy
Access to iFeel, a technological platform for mental wellness offering online psychological support and counseling