Senior Product Analyst (100% remote-friendly within Poland)

at  Docplanner Tech

AND WHY SHOULD YOU JOIN US?

Because it feels good to tell your family and your friends how you made the world a little bit better. You go to bed knowing that what you do matters, and that your talents align with your beliefs.
We want to make the healthcare experience more human, and that starts with you being you. We believe that taking the diversity of human experience into account makes a better healthcare experience for all . We’re not just different: we embrace diversity. We will encourage you to come to work your whole self, and that includes not coming to the office at all if you prefer not to, as we’re 100% remote friendly.
Job Description
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. The ideal candidate has already worked in a similar role and is comfortable participating in 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.

WHICH SKILLS ARE ‘BONUS POINTS’?

• Git and version control, we use GitHub.

• Experience with building data pipelines with Airflow and defining data models with DBT

• Having worked with scikit-learn, pytorch and other AI/ML Python frameworks

Additional Information

KEY RESPONSIBILITIES INCLUDE:

• 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.
  Qualifications