Product Analyst, Docplanner

• 3+ years of relevant experience in analytics, working with business KPIs and metrics
• You are familiar with the tools that we use:
• Fluency in SQL (essential)
• Data visualization tools such as Tableau, PowerBI or similar (essential)
• Familiar with event-tracking tools such as Google Analytics, Mixpanel or similar
• Experience working with data warehouses (Redshift, Bigquery etc.)
• Great communication skills and stakeholder management. You are able to communicate your data insights in a clear and concise manner
• Fluent in manipulating, transforming and reshaping data, preferably from multiple data-sources
• Doing root-cause analysis, applying statistical concepts like regressions, proving correlations and causation
• Contributing to data warehouses, creating aggregated data-sets, general understanding of data pipelines and flows
• Experience running A/B Tests and interpreting the results
• You are curious by nature, and you love to ask and answer questions and dig into data
• You like to describe the world with numbers systems
• You have an excellent understanding of statistics
• You enjoy constant learning and high autonomy
• You enjoy being part of a diverse analytics team

Desirable

• In this role as a Product analyst at Docplanner your main focus will be on analyzing one of our most important company metrics: Bookings
• You will take ownership of the Bookings metric and work closely together with various stakeholders to generate and test hypotheses regarding Booking fluctuations
• You will be part of a team consisting of amazing, passionate product analysts and also work together with product management, developers, research and design to identify opportunities for collaboration and product improvement
• Create and maintain dashboards, analysis and forecasts related to our main Bookings metric
• Work with higher management and business stakeholders to create and validate hypothesis about Booking fluctuations
• Manipulate and transform large data-sets to bring new insights related to Bookings and perform root-cause analysis
• Effectively communicate and present findings, insights and recommendations to various stakeholders and a wider audience
• Work closely with Data Engineerting to maintain and improve data-sources used in some of our main dashboards related on Bookings
• Strategy: bring ideas for new growth opportunities based on your expertise, estimate the potential impact of such ideas
• Analyze funnels and CVR on our marketplace, validate hypothesis by taking the lead on experiments and A/B Tests