Data Insights Specialist

2 tygodni temu

Warszawa, Mazovia, Polska Docplanner Tech Pełny etat

Data Insights Specialist

We are seeking a highly skilled Data Insights Specialist to join our team at Docplanner Tech. As a Data Insights Specialist, you will be responsible for generating insights used for product decision-making and helping product teams achieve their goals by leveraging data.

Main Responsibilities

  • 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

  • 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.

Skills and Experiences

  • 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.
  • 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.

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.

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