Senior Product Analyst, Docplanner

• The ideal candidate has already worked in a similar role and is comfortable participating in complex product organizations in the SaaS market
• 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
• You are familiar with complex Product organizations in the SaaS market
• What skills and experiences do we want you to have?
• 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
• 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, Amplitude or similar (essential)
• Familiar with Python and its ecosystem of Data Science libraries
• 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, and 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

Desirable

• In this role as a Product Analyst at Docplanner, your main focus will be on generating insights used for product decision-making and helping product teams achieve their goals by leveraging data
• You will take ownership of the team's metrics and work closely together with various stakeholders to generate and test hypotheses
• You will be part of a team consisting of amazing, passionate product analysts and also work together with researchers, product management, developers and design to identify opportunities for collaboration and product improvement
• Create and maintain dashboards, analyses, and forecasts related to our team’s main metrics
• Work with higher management, business stakeholders, and researchers to create and validate hypotheses from both a qualitative and quantitative perspective
• Manipulate and transform large data sets to bring new insights and perform root-cause analysis
• Effectively communicate and present findings, insights, and recommendations to various stakeholders and a wider audience
• Strategy: bring ideas for new growth opportunities based on your expertise, and estimate the potential impact of such ideas
• Work closely with Data Engineering to maintain and improve data sources used in some of our main dashboards
• Ensure visibility of customer interactions by defining specs for software instrumentation and provide access to tracking events to your stakeholders
• Analyze funnels and Conversion rates, and validate hypotheses by taking the lead on experiments and A/B Tests